2,263 results
Enterprise Product Growth Manager
Perplexity is seeking an Enterprise Product Growth Manager to own the full nurture and engagement engine for our enterprise and business buyers — from the first outbound touch through closed-won and into expansion. You will partner closely with Demand Generation, Sales, Product Marketing, and Revenue Operations to move accounts through every stage of the funnel, and you will build the AI-native tooling that makes those programs run. We are not looking for someone to operate yesterday's marketing stack. If you are the kind of marketer who writes their own SQL, prototypes their own agents, and treats every flow as something to automate rather than execute by hand — this role was written for you. RESPONSIBILITIES - Develop and own Perplexity's end-to-end enterprise lifecycle user states — outbound nurture, MQL-to-SQL conversion, opportunity acceleration, post-sale activation, expansion, and renewal — with direct accountability for pipeline created, pipeline progressed, and revenue retained. - Build and operate AI-native lifecycle tooling — agents that segment audiences from the warehouse, personalize copy at the account and persona level, choose channel and send time, QA before send, and read out results — replacing manual work in our stack wherever it appears. - Design and run multi-channel nurture across email, in-product, notifications, Slack, and emerging surfaces, tailored to enterprise personas with content tied to where each account sits in the funnel. - Partner with Demand Generation and Sales on top-of-funnel outbound: turn cold and intent-signaled accounts into engaged conversations, and instrument the handoffs that move them to opportunity. - Own post-sale lifecycle: admin onboarding, end-user activation, feature adoption, at-risk intervention, and expansion plays that grow seats and ARR inside existing accounts. - Run every program as an experiment. Define the hypothesis, the control, the primary metric, and the readout. Kill what doesn't work, double down on what does. WHAT WE'RE LOOKING FOR: - 7+ years in product growth, lifecycle, or growth marketing at a fast-paced startup, with a proven track record of moving activation, retention, and revenue metrics — including enterprise pipeline. - Experience owning growth end-to-end across the full user journey — from first touch and activation through expansion, monetization, and win-back. You've built growth loops and lifecycle programs that turn signups into engaged users and engaged users into revenue. - Deep understanding of audience segmentation. You think natively in personas, behavioral triggers, lifecycle stages, and product signals, and you know how to translate that into journeys, experiments, and in-product experiences that actually convert. - Great taste. You know how to craft copy and experiences that resonate across email, push, and in-product surfaces — for end users, admins, and executives alike — and you can tell the difference between a polished experience and a generic one at a glance. - Experience and deep interest in building homegrown AI-driven growth engines — programmatic personalization, agentic workflows, and rapid experimentation platforms to scale yourself. - Builder mentality toward tooling. You don't just operate the modern growth stack (Omni, HubSpot, Loops, Intercom, or equivalents) — you extend it. You've built your own internal tools, scripts, and automated systems to close gaps off-the-shelf software can't, and you'd rather automate a workflow than run it manually twice. - Comfortable with SQL. You can pull your own cohorts, validate your own segments, and read a dashboard without waiting on a data analyst. - Operates at high velocity. You ship daily, iterate weekly, and thrive in fast-paced, early-stage environments where processes are still being defined. Urgency is a default setting, not a mode you switch into.
Academic Research Partnerships & Programs Lead
About the role We are building a higher education researcher motion that helps funded labs adopt OpenAI across core research workflows. This role will develop relationships with principal investigators, researchers, research software engineers, research computing teams, and university technology leaders, then translate high-value use cases into sustained Pro, Codex, API, and ChatGPT Edu usage. This is a hybrid business development and program management role. You will identify and qualify priority labs, design phased access and fellows programs, run pilots, remove technical and institutional blockers, and create repeatable paths from individual researchers to lab- and institution-level adoption. Additionally, this role will launch and manage a community of researchers with events, communications and support. In this role, you will: - Build a pipeline of funded labs, research centers, and technical champions at priority R1 universities; qualify opportunities based on workflow value, funding path, influence, and expansion potential. - Run discovery with researchers and university stakeholders to understand workflows, data and security needs, procurement constraints, and success criteria. - Design and operate phased access and fellows programs, including eligibility, selection, offer mechanics, onboarding, office hours, community programming, and pilot goals. - Translate research workflows into effective use of Pro, Codex, API, and ChatGPT Edu in partnership with Solutions, Product, and Education account teams. - Manage pilots end to end, remove trust, funding, and technical blockers, and drive measurable activation, retention, and expansion. - Turn early usage into product feedback, workflow documentation, peer proof, case studies, and repeatable enablement. - Build clear handoffs and expansion paths from researcher to lab to institution; track fellow selection, activation, retained usage, workflow proof, conversion, and expansion. You might thrive in this role if you: - Relevant experience in business development, program management, partnerships, or technical go-to-market work serving higher education, research, developer, or technical communities. - Proven credibility with funded labs, hard-science researchers, or R1 universities. - Strong program design and operating judgment, with the ability to move from an ambiguous concept to a measurable, repeatable motion. - Technical fluency with AI platforms and research workflows; able to run credible discovery with researchers and research IT. - Ability to navigate complex institutions across researchers, central and research IT, procurement, funders, administrators, and executive sponsors. - Clear communication, high judgment, and strong cross-functional execution in a fast-moving environment. Preferred: - Phd and experience within funded lab research. - Hands-on experience with AI platforms, developer products, or research infrastructure. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Consumer Marketing Lead, ChatGPT
About the Team The ChatGPT Consumer Marketing team helps people understand, adopt, and get lasting value from one of the world’s most widely used AI products. We work across product, brand, creative, growth, media, lifecycle, research, communications, social, partnerships, and international markets. We bring the voice of users into product decisions and build marketing that makes powerful technology feel clear, useful, and human. About the Role We are looking for a senior marketing leader to own how new ChatGPT capabilities and products go to market and grow over time. You will connect product strategy, launch planning, advertising, scaled marketing, partnerships, and performance into one coherent system—so our biggest moments do more than generate attention; they are the beginning of how we change people’s understanding and usage of ChatGPT. This role sits at the intersection of Product, Brand Marketing, and Growth. You will work upstream with Product Marketing to shape audience, positioning, proof, readiness, and measurement, then lead cross-functional teams through launch and scaled marketing programs that drive adoption, engagement, preference, and revenue. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own the marketing strategy for a portfolio of new ChatGPT capabilities and products, from early product development through launch, sustained education, and optimization. - Translate complex technology into simple, differentiated value propositions, narratives, demonstrations, and experiences that make the next action obvious. - Build integrated go-to-market plans across product surfaces, communications, brand, creative, social, creators, partnerships, lifecycle, paid media, performance marketing, and international markets. - Create the launch-to-sustain strategy that turns high-attention moments into deeper feature adoption, repeat use, preference, retention, and paid growth. - Set portfolio priorities, investment recommendations, and success measures; use consumer, competitive, product, and campaign learning to influence the roadmap and improve the next wave. You might thrive in this role if you: - Have led major consumer technology products or portfolios from zero-to-one launch through scaled adoption and sustained growth. - Blend deep product-marketing craft with strong integrated, brand, media, and performance instincts. - Can turn technical complexity into a human truth and a clear reason to choose, try, and return to a product. - Have exceptional creative judgment and can inspire ambitious work while giving precise, actionable feedback. - Think in systems and connect the product experience, narrative, audience, channels, and measurement into one plan. - Use research and data to set meaningful success measures, diagnose adoption barriers, and change course when the evidence demands it. - Are an influential cross-functional leader who creates clarity, makes hard tradeoffs, and cares deeply about responsible adoption. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Enterprise Account Executive, State & Local Sales
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a State and Local Government Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across South and Central US state and local government agencies. You'll leverage your deep understanding of state and local government operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the state and local government market while maintaining the highest standards of security and compliance. Responsibilities: - Drive new business and revenue growth specifically within state and local government agencies, owning the full sales cycle from initial outreach through deployment - Navigate the unique requirements of state and local government procurement, including state-specific regulations, security standards, and agency-specific requirements - Build and maintain relationships with key decision-makers across state, county, and municipal agencies, becoming a trusted advisor on AI capabilities and implementation - Develop and execute strategic account plans that align with agency missions and modernization initiatives - Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration - Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet state and local government requirements - Create and maintain sales playbooks specific to state and local government use cases and procurement processes - Take a leadership role in growing our state and local government presence while maintaining hands-on engagement with key accounts - Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: - 5+ years of enterprise sales experience in the state and local government space, with a proven track record of driving adoption of emerging technologies - Deep understanding of state and local government agency missions, challenges, and technology needs - Demonstrated ability to balance strategic leadership with hands-on sales execution - Experience navigating complex state and local procurement processes and compliance requirements - Strong track record of exceeding revenue targets in the state and local government space - Extensive experience with state and local government contracting vehicles and procurement mechanisms - Excellent relationship-building skills across all levels, from technical teams to senior agency leadership - Proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators - Strategic thinking combined with attention to detail in execution - Familiarity with state-specific data privacy laws and security compliance frameworks - A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Public Sector Partnerships - Europe Lead
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking an experienced and dynamic leader to spearhead ElevenLabs’ public sector partnerships and government affairs efforts across Europe. The Public Sector Partnerships Lead will drive our regional public policy and public sector engagement strategies. The person will represent ElevenLabs in conversations with policymakers and other stakeholders, monitor and track regulatory developments that impact the company, help shape frameworks that promote innovation and the responsible use of AI, promote government adoption of ElevenLabs products and services, and help to define and implement policy campaigns and impact initiatives. IN THIS ROLE, YOU WILL: - Lead ElevenLabs engagement with government bodies and officials across Europe, with a focus on AI governance, safety, copyright, privacy, transparency, data protection, competition, and/or digital rights. - Build and maintain strong relationships with policymakers, regulators, industry associations, and civil society groups. - Monitor, analyze, and advise on emerging regulations impacting the company. - Represent ElevenLabs at conferences and industry events, advancing the company’s public policy goals. - Support the development of internal policies by our Legal, Safety, Security, and other teams. - Provide strategic counsel to company leadership on regional policy trends and their business implications. - Promote government adoption of ElevenLabs products and services in partnership with the GTM team. - Define and implement policy campaigns and impact initiatives that advance company objectives. WHO YOU ARE: - You’re genuinely interested in the future of AI and emerging technologies, bringing curiosity and enthusiasm to your role. - You stay up-to-date on AI regulation and industry trends, and are eager to apply this expertise to cutting-edge products. - You thrive in a fast-paced, dynamic startup environment, working cross-functionally with teams across the organization to support and scale a growing business. - You’re comfortable working independently and handling ambiguity, excelling in situations where you must make informed decisions quickly. - You bring a proactive, solution-oriented approach to each project, focused on moving the business forward. WHAT YOU BRING: - 8+ years’ experience in public and private sector (in-house, firm) policy roles, with a focus on AI and tech. - Strong knowledge of the regional AI policy landscape, including general AI governance, safety, copyright, privacy, transparency, data protection, competition, and digital rights. - Demonstrated success in designing, advocating for, and influencing policy outcomes, as well as coalition building. - Public policy experience across Europe. - Exceptional written and verbal communication skills, including when briefing government officials and other policymakers. - Fluency in English. LOCATION This role is located in Europe. If you prefer, you can work from our offices in Warsaw or London.
Account Manager - ANZ
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're looking for a self-starter, highly energetic Account Manager, who is passionate about voice technology. We don't just sell a product, we're building a community of highly engaged people that want to partner with us for the long term. We love working with our customers to support and guide them through their voice AI journey with a focus on ultimately driving long term value for them. Our Account Management team is at the forefront of this. In this role you will: - Be part of an early Account Management team with endless opportunities for impact. You'll partner with the team to help develop a scalable account management playbook and framework that supports our customers in the ANZ region. - Build and maintain strong relationships with a book of commercial and enterprise clients in the ANZ region. - Play a key role in driving long term adoption of multiple products. - Monitor customer usage and adoption of our products to identify areas for improvement or revenue expansion. - Own expansion and renewal of accounts within your book of business. - Measure and improve customer satisfaction & experience. - Own your account management KPIs (NRR/GRR) and track against the company goals. Requirements - 3-7 years of previous experience in Account Management or Customer Success in a fast paced, SaaS organization. - A strong builder and customer excellence mindset. - Commercial experience — you will own renewals and expansion for your book of business. - Strong communication and interpersonal skills, with the ability to build and maintain relationships with customers at all levels of an organization. - Excellent problem-solving and analytical skills to address customer needs and concerns. - A hybrid of customer & product-driven mentality that prioritises client satisfaction & scale. #LI-Remote
Staff+ Software Engineer, Data Infrastructure
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: - Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. - Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. - Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery. - Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization. You might be a good fit if you: - Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems - Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead - Can set technical direction for a team, not just execute within it - Have deep experience with at least one of: - Strong proficiency in programming languages like Python, Go, Java, or similar - Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS) - Can navigate complex technical tradeoffs between performance, cost, security, and maintainability - Have excellent collaboration skills - you work well with both technical and non-technical stakeholders Strong candidates may also have: - Experience with security and compliance requirements (ITGC, GDPR, financial controls) - Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure - Experience with Kubernetes, containerization, and cloud-native architectures - Track record of improving data reliability, availability, or cost efficiency at scale - Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks - Experience working in fintech, financial services, or highly regulated environments - Security engineering background with focus on data protection and access controls Technologies We Use: - Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran - Storage: GCS, S3 - Infrastructure: Terraform, Kubernetes, GCP, AWS - Languages: Python, Go, SQL Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Global Head of Sales & Partner Enablement
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic is seeking a Global Head of Sales & Partner Enablement to build the engine that makes our entire go-to-market organization and the partner ecosystem around it world-class at bringing Claude to the enterprise. As Anthropic scales rapidly across segments, geographies, and routes to market, this leader will architect how thousands of sellers, solution architects, and partners learn, ramp, and win. You will design the global enablement strategy spanning onboarding, continuous learning, sales methodology, product launch readiness, and partner certification ensuring that everyone who represents Claude can articulate its value with technical credibility and commercial precision. This is an opportunity to define what AI-era enablement looks like: using Claude itself to reinvent how a global field organization learns and performs. Responsibilities: - Architect and execute a comprehensive global enablement strategy spanning direct sales, partner ecosystems, and customer-facing technical teams - Design and continuously improve onboarding, ramp, and certification programs that measurably reduce time-to-productivity for new sellers worldwide - Implement and adapt sales methodology, deal qualification, and coaching frameworks suited to complex, technical, multi-stakeholder enterprise sales cycles - Build partner enablement programs — training, certification, and co-selling readiness — for cloud partners, GSIs, and the broader channel ecosystem - Partner with product and product marketing teams to translate a fast-moving roadmap into launch enablement, technical fluency programs, and field-ready content - Align regional enablement plans with GTM leadership across the Americas, EMEA, APAC, and emerging markets, balancing global consistency with local needs - Scale enablement infrastructure, data, and processes in alignment with Revenue Operations, ensuring shared systems and a single view of field performance - Establish enablement performance metrics and instrumentation to assess ramp time, content adoption, certification, pipeline impact, and revenue contribution - Build, develop, and manage a high-performing global enablement team with specialized capabilities across programs, content, and delivery - Champion innovative, AI-powered approaches to learning, coaching, and content — using Claude to set the standard for modern enablement - Collaborate with marketing on messaging frameworks and content strategy so the field and partners tell one consistent, compelling story You may be a good fit if you: - Have 15+ years of experience in sales enablement, GTM readiness, or revenue productivity roles, with at least 7 years in senior leadership positions driving enablement strategy for global technology organizations - Possess a proven track record of building enablement functions that measurably improved ramp time, win rates, and field productivity at scale - Have deep experience enabling complex, technical products for enterprise sales motions with long, multi-stakeholder buying cycles - Have built partner enablement and certification programs across cloud providers, GSIs, or channel ecosystems - Are highly collaborative, able to partner effectively with sales leadership, product, marketing, revenue operations, and C-suite executives - Have experience building and scaling global enablement teams and developing specialized enablement talent across regions - Demonstrate strong analytical orientation, with experience instrumenting enablement and connecting programs to revenue outcomes - Have technical fluency sufficient to understand, teach, and credibly represent AI/ML products to technical and business audiences Strong candidates may have: - Experience enabling AI, cloud infrastructure, or developer-platform sales organizations - Background scaling enablement through hypergrowth, including international expansion and new route-to-market launches - Proven success implementing modern enablement platforms and AI-powered learning or coaching tools - Experience designing enablement for both velocity/SMB and strategic enterprise motions within one organization - Track record of managing global enablement budgets and demonstrating ROI to executive leadership The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $540,000 - $585,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Field Marketing Manager, Public Sector
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is hiring a Field Marketing Manager dedicated to the Public Sector Industry — one of the fastest-growing customer segments we serve, and one we believe will define how the next generation of AI-native companies adopts and builds with Claude. You will own the field marketing strategy and end-to-end execution for Public Sector audiences in the US, partnering closely with our Public Sector Sales teams. This is a builder role. Field Marketing at Anthropic is a small, scrappy team and the Public Sector is an area of growth for the business — there is no existing playbook for you to inherit. You will design the event calendar, build the integrated digital programs, develop the necessary partnerships, and create the playbooks that scale across our Public Sector motion. Key responsibilities - Develop and activate the US Public Sector field marketing strategy end-to-end — planning, calendar, execution, and measurement. - Design and run public-sector-appropriate event formats — agency roundtables, mission-focused briefings, tech demo days, industry days, and executive breakfasts — that comply with government ethics and gift rules while building trusted relationships with program and procurement stakeholders - Plan the field calendar around the government fiscal year — building demand programs that peak ahead of federal year-end (September 30) and state budget cycles, and capitalize on use-it-or-lose-it spending windows - Own presence at anchor public sector events — from sponsorship strategy to speaker placement and on-site execution - Build co-marketing programs with the public sector channel ecosystem — distributors, resellers, systems integrators, and contract-vehicle holders — including joint events, teaming-oriented content, and partner-sourced pipeline - Partner closely with Public Sector Sales and BDRs on pre-event targeting, during-event engagement, and post-event follow-up to convert attention into pipeline - Build operational playbooks (Demo Day activation kit, hackathon kit) that the Field Marketing team can scale across regions and segments - Establish baseline metrics, dashboards, and ROI reporting for all Public Sector field programs - Be the face of Anthropic in the Public Sector ecosystem — credible with strategic partners and agencies You may be a good fit if you: - Direct Public Sector-segment experience — you have built and run programs targeting the Public Sector as your primary audience, not as an enterprise field marketer who occasionally touches Public Sector - End-to-end ownership of field marketing events and programs, hands on in both strategy and execution - this is a 0-1 building role with very little foundation in place - Repeat success across multiple companies — we are looking for a pattern of impact, scaling field or demand generation programs in different environments, not a single-company tour (however strong the brand) - 0-to-1 builder DNA — you've built a field marketing motion from scratch (or rebuilt one), and you also have scaled-company tenure that grounds you operationally - Tight sales alignment — you've worked shoulder-to-shoulder with AEs and BDRs on account targeting, pre-event outreach, and post-event follow-up - Operational rigor — you can stand up vendor management, registration, follow-up workflows, and ROI dashboards without being asked - Technical credibility — you can review technical event content, brief technical speakers, and hold your own with founder/CTO audiences Strong candidates may have: - 10+ years across Field Marketing, Demand Generation, ABM, and Events at B2B technology companies - Experience working inside of a Public Sector organization that went through a rapid growth phase, or a blend of Public Sectors and scaled technology companies. - AI/ML field marketing experience - Existing relationships with public sector associations and research institutions - Visible thought leadership in the Public Sector ecosystem or developer ecosystem Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or Washington, D.C. office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
BIM Coordinator / BIM Designer
About the Team Industrial Compute is building the world's most advanced AI infrastructure. Working alongside our capital partners, engineering teams, and construction organizations, we design and deliver large-scale, mission-critical compute campuses that power the next generation of AI. Our Design organization brings together engineering, construction, and digital design to ensure facilities are coordinated, constructible, and optimized from the earliest planning phases through deployment. About the Role We are seeking a BIM Coordinator / BIM Designer to support the planning and design of large-scale industrial and mission-critical facilities. In this role, you will develop, coordinate, and maintain multidisciplinary BIM models across Civil, Electrical, Mechanical, Architectural, and Structural disciplines, enabling early design validation, constructability reviews, equipment planning, and cross-functional coordination. You will partner closely with internal engineering teams, external design consultants, contractors, and project stakeholders to produce coordinated BIM deliverables that improve design quality, reduce project risk, and support efficient execution across Industrial Compute's global infrastructure portfolio. Key Responsibilities: - Develop and maintain conceptual and schematic BIM models for large-scale industrial and MEP-intensive facilities. - Coordinate BIM models across Civil, Electrical, Mechanical, Architectural, and Structural disciplines. - Create and maintain federated models used for design reviews, spatial coordination, constructability analysis, and clash detection. - Model major building systems including equipment layouts, utility corridors, electrical rooms, mechanical rooms, structural framing, site infrastructure, and architectural constraints. - Coordinate equipment clearances, maintenance access, routing zones, shafts, risers, utility entrances, and major MEP pathways. - Translate engineering sketches, basis-of-design documents, equipment lists, one-line diagrams, and planning documentation into coordinated BIM models. - Support early design activities including test-fit studies, routing evaluations, phasing plans, utility coordination, and design option analysis. - Maintain BIM standards including model organization, file naming conventions, worksets, shared coordinates, view templates, and model health. - Support multidisciplinary coordination using Navisworks, Autodesk Construction Cloud, BIM 360, Revizto, or similar collaboration platforms. - Prepare model views, coordination packages, exports, and documentation for design reviews and stakeholder meetings. - Support model-based quantity takeoffs, equipment tracking, asset information, room data, and design progress reporting. - Review consultant and contractor BIM deliverables for quality, coordination, completeness, and compliance with project BIM standards. - Help maintain digital design assets that support planning, design development, construction coordination, and operational handoff. Discipline Focus Areas CIVIL BIM DESIGNER - Develop site models including grading concepts, access roads, utility corridors, stormwater systems, underground duct banks, and civil infrastructure. - Coordinate civil infrastructure with building footprints, substations, generators, cooling equipment, underground utilities, and site constraints. - Experience with Civil 3D, ArcGIS, Revit Site, and utility modeling is preferred. ELECTRICAL BIM DESIGNER - Develop conceptual and schematic models for substations, switchgear, transformers, generators, UPS systems, cable tray, busway, duct banks, grounding systems, and major power distribution infrastructure. - Coordinate electrical equipment clearances, cable routing, service entrances, and access requirements with architectural, structural, mechanical, and civil disciplines. - Experience with Revit Electrical, AutoCAD, Navisworks, and interpreting one-line diagrams is preferred. MECHANICAL BIM DESIGNER - Develop models for mechanical equipment, chilled water systems, hydronic piping, airside systems, ductwork, pumps, chillers, CRAH/CRAC units, heat exchangers, tanks, and central utility plants. - Coordinate mechanical routing, maintenance access, pipe racks, structural supports, overhead zones, and major penetrations. - Experience with Revit Mechanical, Navisworks, and industrial piping and duct coordination is preferred. ARCHITECTURAL / STRUCTURAL BIM DESIGNER - Develop architectural and structural models including building shells, floor plans, slabs, structural steel, foundations, equipment pads, platforms, stairs, and access areas. - Coordinate architectural and structural constraints with MEP systems, utility entrances, equipment placement, and code-required clearances. - Experience with Revit Architecture, Revit Structure, AutoCAD, and Navisworks is preferred. Qualifications - Bachelor's degree or equivalent experience in Architecture, Engineering, Construction Management, Civil Engineering, Electrical Engineering, Mechanical Engineering, Structural Engineering, or a related technical field. - 3+ years of BIM modeling, BIM coordination, drafting, or design technology experience. - Experience developing 3D models using Revit, AutoCAD, Civil 3D, Navisworks, Inventor, SolidWorks, or comparable BIM/CAD platforms. - Experience supporting multidisciplinary coordination for complex industrial, infrastructure, or building projects. - Ability to read and interpret engineering drawings, equipment layouts, design narratives, diagrams, and consultant deliverables. - Strong understanding of BIM standards, model organization, file management, and coordination workflows. Preferred Skills - Experience supporting large-scale industrial, data center, manufacturing, utility, or other mission-critical infrastructure projects. - Experience developing conceptual and schematic design models in addition to construction documentation. - Strong understanding of multidisciplinary MEP coordination, equipment clearances, routing zones, and constructability considerations. - Experience with Autodesk Construction Cloud, BIM 360, Navisworks, Revizto, Bluebeam, Civil 3D, ArcGIS, Dynamo, Python, or Autodesk Platform Services. - Experience supporting model automation, asset management, data extraction, quantity takeoffs, and design reporting. - Experience coordinating with internal engineering organizations, external consultants, contractors, and owner representatives. - Excellent communication skills with the ability to collaborate effectively across Civil, Electrical, Mechanical, Architectural, and Structural engineering teams. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Lead Employment Counsel
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking an experienced Lead Employment Counsel to join our Legal Team. In this role, you’ll partner with the People team and other stakeholders to advise on global employment law issues spanning the full lifecycle of employment relationships. You’ll also develop employment policies and procedures to support the company as we continue to scale. You’ll work closely with global colleagues to provide practical, business-oriented advice while managing risk across multiple jurisdictions. RESPONSIBILITIES - Advise and collaborate with the People team and other stakeholders on a range of employment law matters in various jurisdictions, including contract negotiation, onboarding, performance management, and termination. - Offer clear, pragmatic, business-focused legal advice. - Devise and manage employment practices, policies, and procedures that can be executed efficiently in a growing global company and reduce employment-related legal risk. - Manage and work with outside counsel across the globe. - Stay current on global employment laws and regulations, advise the Company on applicable changes, and propose updates as necessary. WHO YOU ARE - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise in a cutting-edge, global company. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues, as well as working with outside counsel across jurisdictions. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and company success. - Hunger to be exceptional at your job. REQUIRED QUALIFICATIONS - J.D. and active membership in at least one U.S. State Bar or law degree and qualification to practice law in an EMEA jurisdiction. - 6+ years of relevant post-qualification employment law experience, with experience in-house at a fast-paced, global company. - Experience building employment-related processes and procedures, partnering with a people/HR team on onboarding and offboarding, and handling complex employment litigation matters. - Excellent communication, stakeholder management, and problem-solving skills. - Comfort in fast-paced environments with shifting priorities and tight deadlines. PREFERRED QUALIFICATIONS - Experience in a high-growth, emerging technology company. - Experience negotiating complex employment contracts and termination agreements. - Experience partnering with teams and outside counsel across the globe. - Law firm experience. LOCATION This role is remote-first and can be executed in the United States (Eastern Time Zone) or EMEA. If you prefer, you can work from our offices in New York or London.
IP Counsel
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are seeking an exceptional IP Counsel to join the ElevenLabs Legal Team. ElevenLabs is at the frontier of AI-generated audio and voice — which means we're also at the frontier of some of the most interesting and consequential IP questions in the industry right now. Copyright law, content licensing, and IP strategy for generative AI are being written in real time, and you'll have a front-row seat for it all. As our second IP Counsel, you'll have the opportunity to partner closely with product, engineering, research, and commercial teams across a host of intellectual property issues, including copyright, rights of publicity, trademarks, and trade secrets. You'll counsel on IP risk in model development and outputs, structure and negotiate licensing deals across our platforms, and help build the frameworks that protect and extend ElevenLabs' IP position as we scale. This is a high-impact, high-autonomy role for someone who wants to do substantive legal work — not manage process — at one of the fastest-moving AI companies in the world. Who You Are - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise in a cutting-edge, global company. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues, as well as working with outside counsel across jurisdictions. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and company success. - Hunger to be exceptional at your job. Required Qualifications - JD with active membership in at least one U.S. state bar or law degree and qualification to practice law in the U.K. - 6+ years of experience advising on intellectual property issues, including copyright and/or trade secrets. - Experience drafting and negotiating complex IP-related transactions, including licensing agreements. - Strong command of the IP issues unique to generative AI companies. - Excellent business judgment, writing skills, and attention to detail. - Comfort operating in a fast-moving environment. Preferred Qualifications - Experience with content distribution and licensing in the media, entertainment, music, or publishing industries. - Experience managing IP risk in a software development environment. - Law firm and in-house experience. Location This role is remote-first, so it can be executed from anywhere in the United States or the United Kingdom. If you prefer, you can work from our offices in New York, San Francisco, or London.
Global Compliance Manager
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking a Global Compliance Manager to help build and scale our compliance program as the Company continues its global growth. Reporting into the Legal Department, this role will be responsible for implementing and operating key elements of the Company's compliance framework, with a focus on ethics and integrity, conflicts of interest, anti-corruption, trade compliance, and regulatory compliance. This is a hands-on role for someone who enjoys building practical, business-oriented compliance programs that enable growth while managing risk. The successful candidate will work closely with Legal, People, Finance, GTM, Operations, Security, and other business stakeholders to embed compliance into day-to-day operations. WHAT YOU'LL DO COMPLIANCE PROGRAM OPERATIONS - Help implement and maintain the Company's global compliance program. - Support periodic compliance risk assessments and compliance program reviews. - Develop and maintain compliance policies, procedures, and guidance materials. - Track regulatory developments and support implementation of compliance requirements. ETHICS & INTEGRITY - Manage the Company's conflict of interest disclosure and review process. - Support implementation and maintenance of the Code of Conduct. - Assist with gifts, entertainment, and ethics-related compliance matters. - Promote a culture of integrity and accountability across the organization. TRADE COMPLIANCE - Support sanctions and export control compliance processes. - Assist with restricted-party screening and escalation reviews. - Partner with Legal and business teams on cross-border compliance matters. - Help develop practical controls and guidance for global operations. ANTI-CORRUPTION & THIRD-PARTY COMPLIANCE - Support implementation of anti-corruption and anti-bribery controls. - Conduct and coordinate risk-based due diligence on third parties, including distributors, consultants, agents, and partners. - Assist with government interaction reviews and related compliance processes. - Maintain third-party compliance records and monitoring processes. INVESTIGATIONS & REPORTING - Manage compliance intake and reporting processes. - Conduct or support internal investigations into compliance concerns. - Track investigations, corrective actions, and remediation efforts. TRAINING & AWARENESS - Coordinate compliance training programs and employee certifications. - Develop communications and awareness campaigns. - Support targeted training for higher-risk functions and geographies. MONITORING & REPORTING - Develop compliance metrics and dashboards. - Track key compliance activities and trends. - Prepare reports and presentations for senior leadership. - Support audits, assessments, and program effectiveness reviews. WHAT WE'RE LOOKING FOR REQUIRED QUALIFICATIONS - 8+ years of experience in compliance, ethics, legal operations, investigations, risk management, or a related field. - Experience supporting compliance programs in a global organization. - Familiarity with anti-corruption, sanctions, export controls, conflicts of interest, and corporate compliance principles. - Experience developing policies, procedures, training, or compliance processes. - Strong project management and operational execution skills. - Excellent written and verbal communication skills. PREFERRED QUALIFICATIONS - Experience in a high-growth, emerging technology company. - Experience conducting internal investigations. - Experience managing third-party due diligence programs. - Familiarity with FCPA, UK Bribery Act, OFAC sanctions, and export control regulations. - Experience with compliance management, screening, or case management tools. - Compliance-related certifications (CCEP, ICA, CRCM, or similar). LOCATION This role is remote-first, so it can be executed from anywhere in the United States, Canada or the United Kingdom. If you prefer, you can work from our offices in New York or London.
Product Manager, Enterprise
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager for Enterprise at Claude.ai , you will own the core enterprise platform capabilities that make Claude trustworthy and deployable for large organizations. You'll focus on security, compliance, administration, and governance features that enterprise customers require to adopt AI at scale. This role requires strong technical judgment, deep understanding of enterprise security and compliance frameworks, and the ability to translate complex requirements into elegant product experiences. You'll work closely with engineering, design, sales, and security teams to build the foundational enterprise capabilities that unlock Claude's adoption across regulated industries and security-conscious organizations. Key responsibilities Security & Compliance Product Development - Own the roadmap for enterprise security features including audit logging, data retention policies, and access controls - Drive compliance certifications and feature development (SOC 2, HIPAA, FedRAMP, GDPR) in partnership with security and legal teams - Develop and maintain enterprise admin experiences including user management, workspace controls, and policy enforcement - Build features that give IT and security teams visibility and control over Claude usage within their organizations Enterprise Platform Capabilities - Define and execute on core enterprise infrastructure including deployment options, data residency, and integration capabilities - Partner with engineering to build scalable, secure architecture that meets enterprise requirements - Develop APIs and integration points that enable enterprise workflows and system connectivity Cross-functional Partnership - Work closely with sales and customer success to understand enterprise customer requirements and translate them into product priorities - Partner with security team to ensure features meet enterprise security standards - Collaborate with legal and policy teams on compliance requirements and certifications - Coordinate with research teams on enterprise-specific model behavior and safety requirements Customer & Market Understanding - Build deep expertise in enterprise security, compliance, and procurement requirements - Develop relationships with enterprise customers to understand their needs and validate solutions - Stay current on competitive landscape and enterprise AI market trends Minimum qualifications - Strong understanding of enterprise security concepts (RBAC, audit logging, encryption, data residency) - Experience with compliance frameworks (SOC 2, HIPAA, GDPR) and certification processes - Track record of shipping enterprise features that drive adoption in security-conscious organizations - Excellent communication skills with ability to work across technical and business stakeholders - Experience partnering closely with sales teams and engaging directly with enterprise customers Preferred qualifications - 6+ years of product management experience, with at least 3 years focused on enterprise software - Experience in AI/ML products or platforms - Background in identity & access management, security tools, or compliance software - Understanding of regulated industries (healthcare, financial services, government) - Technical background or experience working closely with infrastructure/platform teams - Experience with enterprise admin console design and IT buyer personas - Strong technical judgment with ability to go deep on security and infrastructure topics - Structured thinking and ability to break down complex compliance requirements into shippable features - Customer empathy with ability to understand enterprise buyer and admin personas - Execution focus with track record of shipping in fast-paced environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior/Staff Site Reliability Engineer
ABOUT PINECONE Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone’s mission is to make AI knowledgeable. More than 9,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone’s developer-friendly technology. Pinecone is based in New York and has raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. ABOUT THE TEAM AND ROLE We are looking for a Senior / Staff Enterprise Platform Reliability Engineer to help make Pinecone reliable, deployable, upgradeable, and operable across enterprise environments. This is a cross-product role spanning Pinecone’s database, knowledge engine, Nexus, and related systems. You will work at the intersection of product engineering, infrastructure, reliability, and enterprise deployment architecture. You will help define how Pinecone runs across SaaS, BYOC, and future enterprise deployment models such as OEM and air-gapped environments. That includes deployment architecture, Kubernetes runtime patterns, upgrade safety, monitoring, alerting, customer-visible health, diagnostics, CI/CD, and enterprise-readiness validation. This is not a traditional operations-only SRE role. We are looking for someone who can turn enterprise operational requirements into reusable product and infrastructure capabilities. RESPONSIBILITIES You will: - Design and improve deployment patterns across SaaS, BYOC, and future enterprise deployment models. - Build Kubernetes-based runtime, deployment, and validation capabilities. - Define safe upgrade, rollback, and version compatibility strategies. - Improve observability, alerting, logging, and customer-visible health signals. - Build tooling for deployment validation, diagnostics, and operational readiness. - Work across Pinecone product teams to improve enterprise reliability and deployability. - Collaborate with customer-facing teams and customers on complex enterprise environments. - Improve CI/CD, release validation, and automated deployment checks. - Help define what “enterprise-ready” means for current and future Pinecone products. - Turn incidents, escalations, and deployment issues into durable engineering improvements. REQUIREMENTS You should have: - Strong Kubernetes experience, including deployments, networking, storage, secrets, and upgrades. - Experience with at least one major cloud provider: AWS, GCP, or Azure. - Experience operating production systems with clear reliability ownership. - Experience with monitoring, alerting, logging, incident response, and operational diagnostics. - Experience designing or operating SaaS, BYOC, self-managed, or regulated enterprise environments. - Ability to debug complex systems across application, infrastructure, networking, and customer-environment boundaries. - Ability to write production-quality code in a language such as Go, Python, Java, Rust, or similar. - Understanding of CI/CD, release engineering, automated validation, and rollback strategies. - Clear communication and strong ownership across engineering and customer-facing teams. BONUS POINTS - Experience with BYOC, self-managed, OEM, or air-gapped deployments. - Experience with stateful distributed systems such as databases, search systems, storage systems, streaming systems, or ML infrastructure. - Experience designing upgrade strategies for distributed or stateful systems. - Experience with enterprise requirements such as SSO, private networking, audit logs, hardened images, compliance constraints, and customer-controlled infrastructure. - Experience building deployment tooling, operators, controllers, or internal developer infrastructure. - Experience turning production incidents or customer escalations into product improvements. PERKS AND BENEFITS - Comprehensive health coverage including medical, dental, vision, and mental health resources. - 401(k) plan. - Equity award. - Flexible time off. - Paid parental leave. - Annual company retreat. - WFH equipment stipend. EQUAL OPPORTUNITY STATEMENT Diversity, Equity, Inclusion and Belonging are part of how Pinecone builds teams. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every qualification in a job description. Our top priority is finding the best candidate for the job. If you are interested in the position, we encourage you to apply even if you do not believe you meet every qualification listed. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Director, Technical Accounting , Revenue & Strateg...
About The Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Technical Accounting team plays a crucial role in helping OpenAI navigate complex, judgmental, and rapidly evolving accounting matters with rigor and clarity. We aim to bring both technical excellence and strong business partnership to some of the most novel accounting questions in the industry. About The Role OpenAI seeks a Director, Technical Accounting, Revenue & Strategic Partnerships to set the technical revenue accounting strategy for the company's largest, most complex, and highest-risk commercial arrangements. This leader will personally assess novel fact patterns, establish and defend the accounting position, and shape deal structures before execution across enterprise contracts, strategic partnerships, API and consumption-based offerings, credits and incentives, revenue share, multi-party arrangements, and emerging product monetization models. This role will be the senior technical accounting partner to Revenue Accounting, Sales, Product, Legal, Tax, Strategic Finance, Business Development, Deal Desk, Billing, Financial Reporting, Internal Controls, and external auditors. The core mandate is technical judgment: independently synthesize the full contractual and economic substance, identify alternatives and second-order implications, resolve ambiguity under ASC 606 and related U.S. GAAP, and communicate a clear recommendation to executives and auditors. Operational know-how is essential to translate conclusions into billing, close, disclosures, systems, and controls, but process ownership is not the center of the role. In This Role, You Will - Partner closely with Revenue Accounting, Sales, Product, Legal, Tax, Strategic Finance, Business Development, Deal Desk, Billing, Financial Reporting, and external auditors. - Identify non-standard revenue arrangements early and evaluate them under ASC 606. - Advise on thoughtful deal structuring for complex revenue and partnership arrangements. - Operationalize scalable processes and controls for non-standard revenue contracts and emerging monetization models. - Ensure complex revenue arrangements are reflected appropriately in financial statements and disclosures. - Support cross-functional teams as a technical accounting advisor on strategic partnerships, customer incentives, and new product monetization approaches. You Might Thrive In This Role If You Have • CPA, CA, or equivalent accounting qualification. • 12+ years of progressive experience in technical revenue accounting, public accounting, accounting advisory, or accounting leadership roles in technology environments, with meaningful industry experience and a record of personally owning enterprise-significant judgments. • Recognized expertise in ASC 606 and adjacent U.S. GAAP, with the ability to analyze enforceable rights, related agreements, actual operating practices, and economic substance across contract scope, distinct promises, SSP, variable consideration, modifications, material rights, principal vs. agent, customer payments, noncash consideration, and consumption-based revenue. • Experience resolving the most complex technology arrangements, including multi-party customer, vendor, or collaboration structures; cloud, marketplace, reseller, licensing, and API models; committed spend, capacity, rollover, and overage terms; integrated implementation or customization; strategic incentives; and new product launches. • Proven ability to influence senior leaders across Strategic Finance, Product, Legal, Tax, Sales, Business Development, Revenue Accounting, Billing, Financial Reporting, and Internal Controls before signature, including resolving disagreement without relying on formal authority. • Ability to convert ambiguity into concise, quantified, audit-ready positions and translate those conclusions into practical requirements for contracting, billing, close, disclosures, systems, estimates, and controls. • Strong public-company discipline, including SOX-ready evidence, significant-judgment documentation, SEC filing and disclosure support, auditor defense, and clear executive communication of alternatives, risk, and recommendation. • Demonstrated ability to build scalable, Finance-wide reference mechanisms, including risk-tiered intake, pre-signature checkpoints, escalation criteria, memo and policy standards, exception governance, and AI- or data-enabled contract review. • Strong people leadership, including setting direction for experienced ICs, maintaining a high technical bar, developing senior talent and successors, and creating an inclusive team that can execute with autonomy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Office Manager
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE WORKPLACE & REAL ESTATE TEAM The Workplace & Real Estate team builds the places where LangChain builds the future of AI agents. Our job is to make every office somewhere people want to be — spaces that run flawlessly, feel great to walk into, and reflect the craft bar of the company in every detail. We treat the workplace as a product: designed with intent, measured, and continuously improved. We run a small, high-agency team of on-site owners in each hub, and we automate the manual work rather than adding it — across two master-lease hubs (SF, NY) and coworking spokes as the company scales. ABOUT THE ROLE The Office Manager owns our SF HQ end-to-end — both the on-the-ground experience and the systems that make it run. SF is our largest hub and headquarters, we hold the master lease, we're moving into new space, and we regularly host company and team offsites. You open and reset the space first thing every morning and are the face of the office through the day — and you build the tooling, standards, and vendor programs that keep it running consistently as we scale. This is a hands-on role for a builder who takes pride in a flawless space and in the systems behind it. Location: This role is based on-site in our San Francisco (HQ) office, five days per week. WHAT YOU'LL DO OWN THE SPACE & THE CRAFT BAR - Open and reset the space first thing every morning — before people arrive, the office is clean, stocked, and ready - Keep the space super organized, neat, tidy, clean, and stocked at all times; it should always be on point and represent the quality of the company - Run a regular walkthrough punch list and stay on top of the details — wires tucked, chairs in, nothing out of place BE THE FACE OF THE OFFICE - Present through business hours as front-of-house: greet guests, welcome and guide new hires and visitors, and be the person people find - Plan and run local in-office events, team moments, and the offsites hosted at HQ RUN OPERATIONS, VENDORS & BUDGET - Manage facilities, supplies, snacks, and equipment; own on-site vendor relationships (cleaning, food, maintenance); serve as primary contact for building management and repairs - Rationalize and manage vendor programs — move us off ad-hoc ordering to contracted, consistent programs - Own budget tracking for the office; help track cost-per-seat and utilization; partner with Finance BUILD THE SYSTEMS & STANDARDS - Own the workplace ticket queue in Console for your office and help build the shared SLA framework and resolution metrics - Deploy and own the workplace tech stack — desk booking, room scheduling, visitor management, mailroom/deliveries — partnering with IT on networking - Build and maintain SOPs, playbooks, and trackers; contribute to shared standards across sites - Own space planning and moves for your office (starting with the SF move) — communicated early and low-drama - Run life-safety for the site (emergency action plan, evacuation, first aid/AED, drills) as part of the company-wide program - Use AI to automate the manual work — tickets, vendor comms, inventory, invoice/billing reconciliation WHAT YOU'LL BRING HARD SKILLS - 4–6 years in office/workplace management, facilities, or workplace operations in high-growth tech - Exceptionally organized, documentation-first, and project-management-driven — plans, budgets, and status always visible and current - Experience owning workplace systems (ticketing, desk/room booking, visitor management) and vendor programs - Demonstrated AI fluency — you already use tools like Claude to increase your leverage and reach for automation instinctively SOFT SKILLS - Hospitality / concierge mindset — you treat colleagues and guests as customers (hotel or premium-hospitality background a plus) - Maximum agency & ownership — you treat the office as your own; you fix things before they're reported and build the systems no one's asked for yet - High craft — you take pride in a spotless, on-point space and clean systems behind it - Reliability — committed to a consistent, on-site, 5-day presence - Run to the roar — calm and proactive when something breaks NICE TO HAVE - Hospitality background (hotels, premium service) - Experience supporting office moves or buildouts - Experience with LangChain, LangGraph, LangSmith, or comparable tools ANNUAL SALARY RANGE: $90,000 - $110,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Account Executive - North America - ElevenCreative...
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You will own a portfolio of corporate accounts in the United States, focused on ElevenCreative. The corporate segment is a high-volume, high-velocity motion where fast conversion, strong product knowledge, and efficient pipeline management matter most. You will be the first point of contact for companies that are ready to move quickly. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This role focuses on corporate accounts (growing companies typically with fewer than 200 employees). You should thrive in a fast-paced, high-volume environment with short sales cycles, often closing within days to weeks. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI creative capabilities into measurable business value for senior executives and economic buyers - Develop and execute territory and account strategies from scratch, including target account identification, outbound sequencing, event strategy, and pipeline building - Develop a deep understanding of the AI creative landscape - customer use cases, competitive dynamics, and emerging trends - particularly as they apply to agencies, digital media, content studios, e-commerce, or technology startups - Partner with product, marketing, solutions engineering, and customer success to ensure smooth onboarding, deployment, and expansion of accounts - Serve as a trusted advisor to enterprise creative and marketing leaders, educating them on how AI is changing content production and where ElevenCreative fits in their stack - Represent ElevenCreative at industry events, conferences, and client meetings in your territory WHO YOU ARE We are looking for someone who combines enterprise sales instincts with genuine curiosity about how creative and marketing teams produce content at scale. You will thrive in this role if you: - Have 5+ years of quota-carrying sales experience selling technology, SaaS, or AI products to enterprise buyers, ideally with exposure to the creative tools, digital media, or content production space - Have deep familiarity with the AI creative tools or digital media landscape - you understand how enterprise creative and marketing teams evaluate, adopt, and deploy new tooling, and you know the industry well enough to build credibility with buyers quickly - Have proven success navigating complex, multi-stakeholder enterprise sales cycles across business, IT, legal, and procurement - Can translate technically complex AI capabilities - voice synthesis, image and video generation, dubbing, music creation - into clear business value for non-technical decision makers - Are comfortable building pipeline from scratch in a new market or territory, including outbound, events, and account-based strategies - Have strong executive presence and the ability to build relationships at the VP and C-suite level - Thrive in high-growth, fast-moving environments where the scope expands faster than anyone can fully prepare for, and treat that as a feature rather than a problem BONUS - Experience selling creative, design, media production, or content platform tools to enterprise buyers - Familiarity with AI or generative AI products and how enterprise buyers evaluate them - Experience with localization, dubbing, or audio and video production workflows and the buyers who own them - Deep knowledge of the agencies, digital media, content studios, e-commerce, or technology startups verticals and the enterprise buying dynamics within them LOCATION This role is remote, based in the United States. #LI-Remote
Account Executive - North America - ElevenCreative...
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You will own a portfolio of enterprise accounts in the United States, focused on ElevenCreative. The US enterprise segment has the largest existing pipeline and revenue base for ElevenCreative, with strong deal velocity and expansion revenue. You will work named enterprise accounts with complex, multi-stakeholder sales cycles and high-value deal potential. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This role focuses on enterprise accounts (large organizations with complex procurement and multi-stakeholder buying committees). You should be comfortable with 3 to 6 month sales cycles, executive-level engagement, and six-figure deal sizes. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI creative capabilities into measurable business value for senior executives and economic buyers - Develop and execute territory and account strategies from scratch, including target account identification, outbound sequencing, event strategy, and pipeline building - Develop a deep understanding of the AI creative landscape - customer use cases, competitive dynamics, and emerging trends - particularly as they apply to media, entertainment, advertising, gaming, consumer brands, or technology - Partner with product, marketing, solutions engineering, and customer success to ensure smooth onboarding, deployment, and expansion of accounts - Serve as a trusted advisor to enterprise creative and marketing leaders, educating them on how AI is changing content production and where ElevenCreative fits in their stack - Represent ElevenCreative at industry events, conferences, and client meetings in your territory WHO YOU ARE We are looking for someone who combines enterprise sales instincts with genuine curiosity about how creative and marketing teams produce content at scale. You will thrive in this role if you: - Have 5+ years of quota-carrying sales experience selling technology, SaaS, or AI products to enterprise buyers, ideally with exposure to the creative tools, digital media, or content production space - Have deep familiarity with the AI creative tools or digital media landscape - you understand how enterprise creative and marketing teams evaluate, adopt, and deploy new tooling, and you know the industry well enough to build credibility with buyers quickly - Have proven success navigating complex, multi-stakeholder enterprise sales cycles across business, IT, legal, and procurement - Can translate technically complex AI capabilities - voice synthesis, image and video generation, dubbing, music creation - into clear business value for non-technical decision makers - Are comfortable building pipeline from scratch in a new market or territory, including outbound, events, and account-based strategies - Have strong executive presence and the ability to build relationships at the VP and C-suite level - Thrive in high-growth, fast-moving environments where the scope expands faster than anyone can fully prepare for, and treat that as a feature rather than a problem BONUS - Experience selling creative, design, media production, or content platform tools to enterprise buyers - Familiarity with AI or generative AI products and how enterprise buyers evaluate them - Experience with localization, dubbing, or audio and video production workflows and the buyers who own them - Deep knowledge of the media, entertainment, advertising, gaming, consumer brands, or technology verticals and the enterprise buying dynamics within them LOCATION This role is remote, based in the United States. #LI-Remote
Account Executive - North America - ElevenCreative...
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You will own a portfolio of corporate accounts in the United States, focused on ElevenCreative. The corporate segment is a high-volume, high-velocity motion where fast conversion, strong product knowledge, and efficient pipeline management matter most. You will be the first point of contact for companies that are ready to move quickly. ElevenCreative is our AI creative platform - the place where enterprise creative and marketing teams generate and edit speech, image, video, and music using the best AI models available. You will sell the full ElevenCreative suite alongside adjacent capabilities like dubbing, Flows, and Studio to enterprise buyers who are looking to modernize how they produce content at scale. This role focuses on corporate accounts (growing companies typically with fewer than 200 employees). You should thrive in a fast-paced, high-volume environment with short sales cycles, often closing within days to weeks. This is a green-field role. You will define the playbook, build the pipeline, and close the deals - working cross-functionally with product, marketing, solutions, and customer success. IN THIS ROLE YOU WILL - Build and manage a growing portfolio of enterprise accounts to drive ElevenCreative revenue in your territory, identifying new business opportunities where AI creative tools can transform how teams produce content - Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI creative capabilities into measurable business value for senior executives and economic buyers - Develop and execute territory and account strategies from scratch, including target account identification, outbound sequencing, event strategy, and pipeline building - Develop a deep understanding of the AI creative landscape - customer use cases, competitive dynamics, and emerging trends - particularly as they apply to agencies, digital media, content studios, e-commerce, or technology startups - Partner with product, marketing, solutions engineering, and customer success to ensure smooth onboarding, deployment, and expansion of accounts - Serve as a trusted advisor to enterprise creative and marketing leaders, educating them on how AI is changing content production and where ElevenCreative fits in their stack - Represent ElevenCreative at industry events, conferences, and client meetings in your territory WHO YOU ARE We are looking for someone who combines enterprise sales instincts with genuine curiosity about how creative and marketing teams produce content at scale. You will thrive in this role if you: - Have 5+ years of quota-carrying sales experience selling technology, SaaS, or AI products to enterprise buyers, ideally with exposure to the creative tools, digital media, or content production space - Have deep familiarity with the AI creative tools or digital media landscape - you understand how enterprise creative and marketing teams evaluate, adopt, and deploy new tooling, and you know the industry well enough to build credibility with buyers quickly - Have proven success navigating complex, multi-stakeholder enterprise sales cycles across business, IT, legal, and procurement - Can translate technically complex AI capabilities - voice synthesis, image and video generation, dubbing, music creation - into clear business value for non-technical decision makers - Are comfortable building pipeline from scratch in a new market or territory, including outbound, events, and account-based strategies - Have strong executive presence and the ability to build relationships at the VP and C-suite level - Thrive in high-growth, fast-moving environments where the scope expands faster than anyone can fully prepare for, and treat that as a feature rather than a problem BONUS - Experience selling creative, design, media production, or content platform tools to enterprise buyers - Familiarity with AI or generative AI products and how enterprise buyers evaluate them - Experience with localization, dubbing, or audio and video production workflows and the buyers who own them - Deep knowledge of the agencies, digital media, content studios, e-commerce, or technology startups verticals and the enterprise buying dynamics within them LOCATION This role is remote, based in the United States. #LI-Remote
Lead, Frontier Red Team (Cyber)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Lead, Frontier Red Team (Cyber) San Francisco, CA About the Team As part of Anthropic’s work on the frontier of cybersecurity, we are forming a new team focused on steering the world through the next generation of cybersecurity. It is now clear that frontier AI models – Mythos and beyond – will have dramatic impacts on cybersecurity. This team will research the impacts of advanced models, beyond Mythos, on security – and publish the research and build + deploy the defenses the world needs to navigate it smoothly. We believe many parts of cybersecurity will need to be fundamentally reimagined for the age of powerful models. This team is incubated with the highest priority within the Frontier Red Team, which studies the catastrophic risks and builds and advocates for defenses. See our previous related work on Mythos , N-days , exploits , 0-day , and finding vulns in hardened codebase . We also run Project Glasswing . About the Role The Lead will oversee all of Anthropic’s mission-driven research on defending the world in an era of advanced cybersecurity capabilities. They will lead research to uncover the offensive and defensive capabilities of Claude, prototype defenses in the wild, inform how Claude is trained and safeguarded in order to favor defenders, and engage with the public and government. The Lead will, over the long run, focus on how to give defenders a permanent advantage. Done well, within a year we expect Mythos, Glasswing, and our vulnerability and exploit research to seem like a modest first step towards this vision. They will work with our Product, Training, Security, and Safeguards teams to support their missions. The Lead will be responsible for all components of this vision. They will hire a world-class research team, lead them to produce frontier research on extremely quick timelines, maximize the public impact of that research, and build and deploy defenses into the world. The lead will develop a compelling vision for a dramatically more secure future, and communicate it to the company, industry, researchers, and government. The lead will also be responsible for informing and making difficult decisions at the highest levels of the company – how to broadly distribute access to advanced capabilities, how to safeguard the model, what threats to focus on, what systems to harden, and what high-risk, high-reward research to take bets on. The role is based in San Francisco, but we expect some travel at least to Washington DC. What You'll Do - Be responsible for Anthropic’s overall defensive cybersecurity vision - Hire and lead a world-class research team of AGI-pilled cybersecurity researchers and program managers - Design an AGI cybersecurity research program that aims to secure the world - Lead the team to execute on this research at the scale, speed, and quality of a frontier lab - Work with other Anthropic teams, such as Training, Safeguards, and Policy, to address their biggest opportunities and challenges in Anthropic’s cybersecurity mission - Identify field partners – maintainers, researchers, companies, governments – to do joint projects with - Develop a strategy to publish and share research with the world for maximum impact; shut down and avoid low-impact research or research communication - Translate technical findings into compelling demonstrations and artifacts that inform policymakers and the public - Proactively identify critical strategic decisions for the company and the AI lab ecosystem, raise them, marshall resources to address them, and help the decisions be made as smoothly as possible Sample Projects - Writing the strategy for how a frontier AI lab can use frontier models and resources to most defend the world - Building frameworks and tools that enable AI models to autonomously find and patch vulnerabilities using tens of trillions of tokens - Running purple-team simulations where AI defenders compete against AI attackers in network environments - Pointing autonomous AI systems at real-world security challenges (bug bounties, CTFs etc.) to characterize risks, defensive potential, and compare to human experts - Building demonstrations of frontier AI cyber capabilities for policy stakeholders The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $485,000 - $690,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Founding Data Scientist, Pricing & Monetization
About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like. About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world. In This Role, You Will - Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions. - Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems. - Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy. - Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-to-pay questions. - Translate technical work into crisp executive recommendations and practical operating guidance for cross-functional teams. - Identify where a dedicated pricing data science function can create repeatable leverage, helping define the roadmap, standards, and future operating model for the team. You Might Thrive in This Role If You - Have deep experience using casual inference and other statistical techniques to solve pricing, monetization, packaging, or business strategy problems. - Are energized by ambiguous, zero-to-one work with senior leadership visibility and a chance to write the playbook. - Can move fluidly between hands-on analysis, model-building, experimentation, and strategic decision support. - Have built or influenced sophisticated pricing systems in complex, high-scale environments. - Communicate clearly with executive, business, product, and technical leaders, including when the answer is nuanced or uncertain. - Are excited by a founding role where your work can shape company-level strategy and the future of pricing at OpenAI. Qualifications - Significant experience in data science, analytics, economics, statistics, machine learning, or a related quantitative field. - Strong technical ability in analysis, modeling, experimentation, causal inference, and data-driven decision-making. - Experience working on pricing, monetization, marketplace dynamics, usage-based pricing, dynamic pricing, packaging, or adjacent high-complexity business problems. - Ability to operate independently in ambiguous environments, define analytical direction from scratch, and bring senior stakeholders along through clear tradeoff framing. - Strong written and verbal communication skills, including the ability to influence executive-level audiences and cross-functional operating teams. Preferred Qualifications - Prior pricing experience across consumer, SMB, enterprise, marketplace, platform, or AI/API businesses. - Experience building novel pricing models, systems, experimentation programs, or decision frameworks. - PhD preferred; a master’s degree or equivalent practical experience can also be a strong fit. - Experience helping establish a new data science function, operating model, technical roadmap, or executive decision cadence. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Sales Development Representative (German Speaker)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role: We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects. You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI. What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator. What you will do: - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value. - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience. - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development. - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency. - Use LangChain powered agents to test, learn, and improve prospecting strategies. How to be successful in this role: - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career). - Clear, confident communicator who can engage both technical and business audiences. - Motivated by learning, iteration, and experimentation you treat outreach like a craft. - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way. - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate. - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction. - Fluent or native German speaker, is required for this role. Compensation & Benefits - Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. - Annual On Target Earnings - 110,000 GBP (70/30 split). Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Sales Development Representative (French Speaker)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role: We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects. You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI. What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator. What you will do: - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value. - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience. - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development. - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency. - Use LangChain powered agents to test, learn, and improve prospecting strategies. How to be successful in this role: - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career). - Clear, confident communicator who can engage both technical and business audiences. - Motivated by learning, iteration, and experimentation you treat outreach like a craft. - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way. - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate. - Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction. - Fluent or native French speaker, is required for this role. Compensation & Benefits - Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. - Annual On Target Earnings - 110,000 GBP (70/30 split). Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Marketing Operations Strategy
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. Marketing Operations Team We're a lean, high-output marketing team, and as we scale we're looking for someone to architect the engine that runs our tools. You'll own our marketing tech stack end to end: the roadmap, the integrations, the best practices, and you'll be the closest operational partner our campaigns team has, turning every campaign brief into a clean, well-instrumented launch. And because we believe the next big unlock in marketing ops is AI, this role is explicitly AI-forward: we want someone who builds with AI tools daily. This role is built for those who get satisfaction from a campaign that launches without a hitch, a data flow with zero gaps, and finding the one workflow that saves the team ten hours a week. Key Responsibilities: - Own the Marketing Tech Stack: Take full ownership of our marketing technology stack: CRM, marketing automation, ad platforms, analytics, and everything in between. Set and maintain the tech stack roadmap, decide what to add, consolidate, or retire, and make sure every tool earns its place. - Set the Standard for Best Practices: Establish how the stack should be governed (data hygiene, permissions, naming conventions, integration patterns) and make sure the rest of the team follows it. You're the internal authority on how our systems connect and where data should live. - Run End-to-End Campaign Operations: Own the operational backbone of every campaign, from setup through QA, launch, and post-launch reporting. Be the go-to technical partner for the campaigns team, translating what they want to launch into system configurations, automations, and integrations that actually work. - Own Tracking, Paid Ads & Tag Management: Manage our tracking infrastructure end to end, including Google Tag Manager, conversion tracking, and pixel/tag implementation across paid ad platforms. Make sure every campaign is properly instrumented before it launches, and that attribution and reporting are accurate and trustworthy. - Keep Everything Flowing: Ensure clean, reliable data and audience flow across the full stack, from paid media platforms through marketing automation, CRM, and reporting, so nothing breaks and nothing gets lost at the handoffs. - Build with AI, Don't Just Use It: Actively evaluate and deploy AI-powered tools and workflows (automations, agents, AI-assisted campaign tooling) to eliminate manual work and unlock the next level of operational efficiency. Bring these recommendations to us proactively. - Grow Into Strategic Initiatives: As you establish the operational foundation, take on leadership of key initiatives in account-based marketing (ABM) and product-led growth (PLG), building the systems, signals, and workflows (e.g., intent data, product usage triggers, lifecycle automation) that power both motions. Preferred experience & skills - Technical Depth: 8-10 years in marketing operations or marketing technology, with hands-on experience administering marketing automation platforms, customer development platforms (e.g., HubSpot, Segment, Zapier), CRM systems (e.g., Salesforce) & ad platforms. - Systems Thinking: Strong understanding of integrations, APIs, and data flow across a marketing stack, including native integrations, middleware (Zapier), or custom-built connections. - Campaign Fluency: A proven track record owning end-to-end campaign operations in a fast-moving environment, and real comfort partnering closely with campaign teams without needing formal authority over them. - An AI-Builder Mindset: You have concrete examples of automations or internal tools you've created using LLMs or workflow platforms. - A Bias for the Weeds: You're comfortable getting hands-on, building workflows, debugging integrations, and writing a query or a script when it's faster than asking someone else to. - Self-Direction: You find problems before they're assigned to you and build the fix before anyone asks. Nice to Have: - Background in paid media operations or ad tech integrations - Experience running AI enablement for a non-technical team If this role excites you but you don't check every box, we'd still love to hear from you; the right experience matters more than a perfect match on paper. Compensation $165,000 -$185,000 + equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Data Science, Finance & Strategy
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how we measure the value of our models and our position in the market. These are open questions without an established playbook: how much value do our models deliver per dollar and per token, how is that changing with every launch, how do we compare to the rest of the frontier? You’ll own how Finance quantifies relative model value and market position: maturing our cross-product benchmark suite, building task-cost and price-elasticity estimates that inform live pricing and packaging decisions, sourcing and running capability and market analysis around every model launch, and standing up forecasting on third-party and survey data. The work is open-ended and technical, and you’ll operate as an analytical lead, partnering closely with Product Finance and our model performance Data Science teams. Key responsibilities - Build the relative-value measurement system: evolve our cross-product benchmark into a durable, trusted read on model and product value, spanning coding, agentic, and product-shaped tasks - Inform pricing and packaging: construct task-cost approximations and price-elasticity estimates across differently priced products, and carry them into decisions - Own launch and market analytics: run analytics around model launches, including capability-based revenue analyses and views of the broader market - Deepen our market understanding: evaluate and integrate external datasets and research to strengthen our read on the market and how it's evolving - Partner with Product Finance: take open-ended pricing, packaging, and positioning questions from vague ask to decision-grade answer - Raise the bar: land narratives in executive forums and uplevel the team’s product-finance analytics practice by example Minimum qualifications - Put shape around ambiguity: you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask - Land narratives with executives: your analyses have changed pricing, product, or competitive decisions, and you can simplify for senior leaders without losing rigor - Stay hands-on at senior scope: you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data - Are inherently curious: you go one level deeper than asked and are energized by how fast models, products, and the market are moving - Thrive amid shifting priorities: you juggle multiple fast-moving workstreams and stay effective when the plan changes weekly - Work fluently with modern tooling: you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse Preferred qualifications - Experience designing evals or benchmarks for AI models or products - Pricing and packaging analytics at scale, including elasticity estimation - Market share estimation from imperfect third-party, panel, or survey data - Fluency in the LLM model and product landscape - Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness) - Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Sr. Data Platform Engineer - Computer System Valid...
Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: - Build, scale, and operate in a validated data platform . You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery. - Engineer Data Integrity and Traceability: You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. - Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You’ll Join - You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake . The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus. Working Location & Compensation: This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: £75,900–£101,900 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-EP1 The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Product and Solutions Marketing Manager
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re looking for a Product and Solutions Marketing Manager to help drive go-to-market for LangSmith Fleet and build the solutions marketing motion around enterprise AI adoption. Fleet is LangChain’s product for bringing agents to every team in an organization. It enables anyone to build, use, and manage agents with natural language, while giving organizations the security, observability, and API extensibility they need to deploy agents across the business. This role will help shape how we take Fleet to market across both sales-led and product-led growth motions. You’ll work on positioning and messaging, product launches, content, enablement, campaigns, customer storytelling, and cross-functional programs in partnership with product, sales, education, and marketing. The audience is broad and nuanced: technical buyers who care about security, observability, integrations, APIs, and governance; technical champions who want to extend and operationalize agents; and nontechnical users who need to understand what agents can do for their day-to-day work. You’ll help translate a rapidly evolving product into clear stories, content, and programs that drive awareness, adoption, and revenue. You’ll also help turn LangChain’s broader platform story into industry-specific solutions. That includes developing campaigns, collateral, and sales enablement for targeted enterprise segments such as financial services, healthcare, and life sciences. You’ll work closely with product, sales, demand generation, field marketing, education, and customer-facing teams to translate customer problems into clear narratives, programs, and assets that support pipeline and revenue. WHAT YOU’LL DO PRODUCT MARKETING FOR FLEET - Help launch new Fleet capabilities in a fast-moving market. You’ll partner with product and GTM teams to bring new features and use cases to market. - Develop positioning and messaging for Fleet. You’ll help define how Fleet shows up across the website, sales materials, launch assets, campaigns, product pages, and customer-facing content. - Create content that helps different audiences understand and adopt Fleet. This may include launch blogs, solution briefs, use case pages, customer stories, comparison pages, demo narratives, sales decks, guides, and campaign assets. - Build enablement for a sales-led motion. You’ll help equip sales and customer-facing teams with talk tracks, objection handling, discovery questions, demo narratives, competitive context, and materials that help them speak to technical buyers and business stakeholders. - Partner with demand generation on campaigns. You’ll help turn product narratives, use cases, launches, and customer insights into campaigns that drive pipeline and product adoption. - Stay close to customers and the market. You’ll synthesize customer conversations, sales feedback, product usage signals, competitive activity, and market trends into insights that improve our messaging, roadmap inputs, and GTM strategy. SOLUTIONS AND ENTERPRISE MARKETING - Develop solution narratives for priority industries and enterprise use cases. Initial focus areas include financial services, healthcare, and life sciences, with room to expand based on GTM priorities. - Partner with demand generation, field marketing, and sales on integrated campaigns. You’ll create campaign materials and collateral for targeted enterprise motions. This may include solution briefs, industry landing page copy, campaign messaging, and webinar narratives. - Build sales enablement for enterprise conversations. You’ll create materials that help account teams explain LangChain’s value in regulated and complex environments, including industry talk tracks, use case maps, executive-ready decks, and objection handling. - Translate customer and field insights into repeatable sales plays. You’ll work with sales, solutions, and customer-facing teams to understand what resonates in the field and turn that into reusable messaging, collateral, and campaign programs. WHAT YOU’LL BRING - You have 2–4+ years of experience in product marketing, developer marketing, solutions marketing, enterprise marketing, or a related GTM role. - You’ve worked on technical products, developer tools, AI/ML products, B2B SaaS, infrastructure, automation, productivity tools, or platform products. - You can translate technical concepts into clear customer-facing messaging. You don’t need to be an engineer, but you should be comfortable learning technical products and asking good questions. - You’re excited by a product that serves multiple audiences: developers, technical buyers, operators, admins, and nontechnical end users. - You understand how sales-led and product-led motions can work together. You can create materials that help sales teams win while also helping self-serve users understand and adopt the product. - You understand enterprise marketing. You know how to create assets and campaigns for complex buying committees, regulated industries, and sales-led motions. - You write clearly and quickly. You can turn a product capability, customer problem, or technical workflow into useful content or enablement without a long ramp. - You like working cross-functionally. You’ll partner closely with product, sales, demand generation, field marketing, devrel, education, customer-facing teams, and the broader marketing team. - You’re comfortable with ambiguity and iteration. Fleet is evolving quickly, and the market for workplace agents is still being defined. You’re excited to ship, learn, and improve. - You have genuine curiosity about agents, enterprise AI adoption, and how they will change how teams work. - You use AI tools in your own work and are interested in finding new ways to increase your effectiveness with them. NICE TO HAVE - Experience marketing developer tools, AI products, automation products, productivity tools, or enterprise SaaS platforms. - Familiarity with the LLM, agent, or AI application development ecosystem. - Experience supporting both technical buyers and business or end-user audiences. - Experience partnering with sales on enterprise deals, including enablement, customer-facing storytelling, competitive support, account-based campaigns, or executive-facing collateral. - Experience building industry or solutions marketing programs for financial services, healthcare, life sciences, public sector, or other regulated industries. - Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption. - Experience with field marketing, demand generation, partner marketing, or integrated campaigns. WHY JOIN - You’ll help define a new category. Fleet is bringing agents from developer experiments into everyday work across companies. - You’ll work on a product with both end-user pull and enterprise depth. Fleet is easy to try, but also deeply connected to LangSmith’s security, observability, evaluation, deployment, and API capabilities. - Your work will directly shape how the market understands Fleet and LangChain’s enterprise platform. This is a high-impact role with room to influence messaging, launches, content, campaigns, enablement, and GTM strategy. - You’ll help build a solutions marketing motion from an early stage. There is room to shape how LangChain tells industry-specific stories, supports enterprise campaigns, and enables the field. - You’ll join a small, fast-moving team. You’ll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly. - Agents are where software is heading. LangChain is at the center of that shift, and you’ll help tell the story of how agents move from prototypes to real usage across companies. Compensation $125,000 to $165,000 + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Enterprise Account Executive (Northwest)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. - Annual salary: $350K OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Product Manager, Safeguards (Verticals)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
DevOps Engineer, Infrastructure & Security
As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. Must have: - At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance. You will: - Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. - Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines. - Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. - Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles. - Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. - Document pipeline processes and configurations to ensure maintainability and knowledge transfer. - Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes. - Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC. Ideally you'd have: - 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role. - Proven track record of building or significantly enhancing CI/CD pipelines. - Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments. - Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP). - Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell). - Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps). - Knowledge of software architecture, system design, and version control systems. - Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems. - Basic understanding of security best practices in software development and an eagerness to integrate them. - A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows. - Strong problem-solving, analytical, collaboration, and communication skills. Nice to haves: - Experience with containerization technologies (e.g., Docker, Kubernetes). - Exposure to machine learning lifecycles or MLOps concepts. - Prior experience in classified environments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $198,400 - $311,000 USD The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $178,400 - $279,000 USD The base salary range for this full-time position in the location of St. Louis is: $148,800 - $233,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Head of International Security
Scale AI sits at the intersection of frontier AI, enterprise software, and national security. We safeguard high-value assets: proprietary AI data and infrastructure, a global contributor ecosystem, and sensitive enterprise and government customer data. As our International Head of Security, you will own and unify Scale’s security strategy across our non-US affairs: Global Public Sector and non-US Enterprise deals. You will drive the execution, customer engagements and compliance with frameworks such as GDPR, ISO27001, UK Cyber Essentials Plus, the EU AI Act, NIS2 and country-specific sovereignty requirements while staying tightly aligned to our global secure-by-default architecture set by the Head of Security. As we expand into FDE-led Agentic Applications while continuing to serve our data and model customers, our security surface area spans internal systems, external products, distributed contributors, and high-assurance government environments. You are a builder who believes security is a product feature, not a hurdle — and who can raise both our defensive maturity and our ambition in frontier AI security. What You'll Do Execute the Global Security Strategy Across International Markets - Drive execution of Scale's multi-year secure-by-default roadmap across non-US markets, surfacing regional needs into global architecture decisions. - Translate regional regulatory requirements (GDPR, ISO 27001/27017/27018, SOC 2, UK Cyber Essentials Plus, EU AI Act, NIS2, and country-specific data residency / sovereign-cloud rules) into concrete engineering controls. - Track regional security metrics and accountability, and represent the international perspective in global prioritisation, audits, and roadmap reviews. Lead Regional Security Engineering & Threat Detection - Own the regional execution of identity, fine-grained RBAC, secrets management, CI/CD hardening, encryption, logging, and infrastructure protection with a particular focus on cross-border data flows and in-region telemetry. - Stand up high-fidelity detection and response capabilities that meet local time zone coverage, breach-notification timelines, and regulator expectations. - Drive systemic risk reduction through platform-level controls, partnering with the global security engineering team rather than building parallel stacks. Secure Products, Data, and AI Systems for International Customers - Ensure enterprise-grade protection of customer data, proprietary datasets, and AI assets across regional deployments, including support for in-region processing, encryption with customer-managed keys, and data-localisation commitments. - Design and enforce robust multi-tenant isolation, fine-grained RBAC, and privilege lifecycle management across customer environments serving international enterprises and public sector buyers. - Address AI-specific attack surfaces; prompt injection, tool abuse in agentic workflows, data exfiltration, and model/data integrity risks. - Champion secure SDLC practices, threat modeling, and code review standards within FDE teams. Lead Insider Risk & Contributor Integrity Across International Populations - Partner with Product and Operations to reduce fraud, account compromise, collusion, and identity-based abuse without degrading platform usability, particularly in higher-risk regions. - Implement strong auditability, privilege governance, and behavioural anomaly detection across sensitive workflows in a way that is defensible to international regulators. Be the Lead Security Partner for International Customers & Governments - Serve as the lead security partner in international enterprise and public sector engagements; running customer security reviews, supporting regulator interactions, and shaping trust narratives across the UK, EU, MENA, and beyond. - Drive execution of the international clearable-infrastructure plan without fragmenting the core platform. - Partner with Sales, Legal, and Compliance to streamline security reviews and build durable customer confidence. Qualifications Required - 8+ years in cybersecurity (security engineering, product security, detection/response, or cloud security), with at least 4 years leading or formally mentoring engineers in high-growth or enterprise environments. - Demonstrated experience building and scaling security programs that materially improved risk posture. - Strong technical depth in cloud-native security (AWS / GCP / Azure), IAM / Zero Trust, infrastructure security, logging and monitoring, and secure SDLC practices. - Hands-on familiarity with GDPR, ISO 27001, SOC 2, UK Cyber Essentials Plus, NIS2, and the EU AI Act. - Experience managing insider risk or securing environments with significant third-party, contractor, or marketplace-style user populations. - Ability to operate cross-functionally with Engineering, Product, Legal, Compliance, Sales, and Public Sector stakeholders. - Right to work in the UK. Comfortable traveling regularly; willing to be vetted for country-specific clearances where customer engagements require it. Preferred / Differentiators - Experience securing AI / ML platforms, LLM-based systems, or agentic applications - Familiarity with AI-specific threat vectors such as training data poisoning, prompt injection, tool/plugin abuse, and protection of model-related IP. - Experience operating at the intersection of enterprise SaaS and government or national security customers. - Working knowledge of GCC (Gulf Cooperation Council) sovereign compliance and privacy regulations (such as UAE DESC CSP and Qatar NCSA NISCF/NIA) - Proven ability to build secure-by-design multi-tenant systems serving FTSE 100 / Euro Stoxx 50 / global Fortune 500 clients across multiple regulatory regimes. - Experience leading red-teaming, adversarial testing, or offense-informed defense programs. - Active or eligible for UK clearance (SC or DV), NATO clearance, or equivalent in another allied jurisdiction. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Engineering Manager, UI Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude.ai is Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. We're looking for an engineering leader to own the foundational platform that powers all of these surfaces: the shared infrastructure, APIs, tooling, and systems that enable product teams to ship reliably, quickly, and with confidence. In this role, you'll lead the team responsible for reliability, latency, developer velocity, and common components across Claude.ai 's UI surfaces. Your work will directly determine how fast customer, partner, and product teams can innovate—and how stable their experiences are when they ship. This is a highly technical leadership role: you'll stay close to the code, drive architectural decisions, and build the systems that let others move faster. This is a unique opportunity to shape the developer experience and platform foundations for one of the most rapidly evolving AI products in the world. You'll partner closely with product engineering teams, infrastructure, and leadership to ensure Claude.ai scales gracefully as we grow. Responsibilities - Lead and grow the UI Platform team, setting technical direction for reliability, performance, and developer experience across all Claude.ai surfaces - Own the foundational systems that product teams depend on: shared components, build and deploy pipelines, observability, and performance infrastructure - Drive improvements to developer velocity—reducing friction, improving tooling, and enabling teams to ship features faster and more safely - Establish and maintain high standards for latency, reliability, and quality across the platform - Partner closely with product engineering, infrastructure, and leadership to align platform investments with product priorities - Create clarity and direction in a fast-moving, ambiguous environment where priorities shift as Claude.ai evolves - Build a culture of technical excellence, collaboration, and continuous improvement within your team You may be a good fit if you - Have 10+ years of software engineering experience, with significant time spent building platforms, developer tools, or infrastructure for consumer-facing products - Have 5+ years of engineering leadership experience, including managing and growing teams in high-growth environments - Have deep expertise in modern web development stacks (React, Next.js, TypeScript) - Are passionate about developer experience and have a track record of building tools and systems that make other engineers more productive - Have strong opinions on reliability, observability, and performance—and know how to operationalize those opinions at scale - Can balance technical depth with strategic thinking, staying hands-on while also setting long-term direction - Thrive in ambiguity and can create structure and clarity for your team when the path forward isn't obvious <
Technical Deployment Lead, Forward Deployed Engine...
About the team OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products. The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders. About the role This is a founding Technical Deployment Lead (TDL) role for the FDE Platform team. You will be accountable for making our earliest design partner deployments successful, from initial scoping and success criteria through production adoption and demonstrated value. This is an ops-heavy, technically deep role: you will drive alignment across OpenAI and customer stakeholders, run the delivery plan across interdependent workstreams, and ensure enterprise constraints are handled upfront rather than discovered late. You will work closely with B2B Platform and FDE Platform teams to drive crisp execution, clear tradeoffs, and a path to scalable rollout for our platform design partners. Success is defined by delivered outcomes and adoption in critical workflows, not activity or slideware. Success will be measured by platform outcomes that are measured by successful deployments. Deployments should deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This role is based in San Francisco or New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Define pilot scope and success criteria: Partner with customer sponsors and technical leads to translate goals into a concrete plan, measurable outcomes, and clear acceptance criteria. - Own the delivery plan across work streams: Build and run integrated milestones, dependencies, and execution rhythms across Applied, platform engineers, and customer teams. - Drive stakeholder alignment and decision-making: Lead internal and external working sessions, keep tradeoffs explicit, unblock decisions, and escalate crisply when needed. - Ensure enterprise readiness from day one: Pressure-test security posture, permissions and access boundaries, audit-ability, and deployment/infra requirements as part of the delivery plan. - Manage production adoption and value realization: Drive onboarding, enablement, and change management so deployments land in real workflows and deliver measurable impact. - Run multiple deployments with rigor: Maintain clear status, risks, and mitigations across concurrent pilots, and continuously adjust plans to protect outcomes. - Convert learnings into actionable next steps: Synthesize what worked and what broke into clear requirements, sequencing proposals, and improvements to the platform delivery approach. You might thrive in this role if you - Have 5+ years leading complex, customer-facing technical delivery where you owned outcomes end-to-end in high-ambiguity environments. - Are deeply credible with senior technical stakeholders and can whiteboard architectures, reason about enterprise deployment constraints, and go in the weeds when required. - Have strong instincts for enterprise security and governance, including permissions/RBAC, audit trails, data access boundaries, and rollout safety. - Bring an ops-first background (e.g., platform delivery leadership, technical pr
Data Center Controls Network Engineer
About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Controls Network Engineer, you will design, validate, and scale the controls and OT network architectures that support high-density AI data centers. You will work across controls systems, OT infrastructure, telemetry, commissioning, deployment, and operations, partnering with mechanical, electrical, IT/networking, security, and external delivery teams. About the Role We are seeking a mid to senior OT Network Engineer with a strong controls systems background to lead the design and operation of resilient, secure, and scalable OT network architectures for high-density AI data centers. This role translates compute, power, cooling, and operational requirements into practical OT network designs, evaluates vendor solutions, and drives technical decisions across controls infrastructure, telemetry, commissioning, and operations. The ideal candidate has strong hands-on experience in mission-critical OT environments, including industrial networking, virtualized infrastructure, and OT network operations, with expertise in routing, switching, segmentation, firewall policy, time synchronization, monitoring, and network lifecycle support. Key Responsibilities - Define controls, automation, and OT network requirements for AI data center campuses. - Develop reference architectures, engineering standards, and reusable design templates. - Review and develop basis-of-design and functional design documents, including OT network diagrams, IP/VLAN schemes, telemetry architectures, data flow diagrams, and commissioning requirements. - Design OT and infrastructure network architectures, including physical topology, logical topology, IP addressing, subnetting, VLANs, routing, switching, redundancy, segmentation, firewall policy coordination, out-of-band management, monitoring, and remote access patterns. - Develop day-two network operations requirements, including change management, configuration backups, golden configurations, monitoring thresholds, firmware lifecycle, rollback plans, and post-change validation. - Partner with electrical, mechanical, IT/networking, security, and operations teams to ensure OT network systems align with GPU deployments, campus-wide telemetry, and failure-domain isolation requirements. - Define integration patterns and protocol requirements across BACnet/IP, BACnet MSTP, Modbus TCP/RTU, OPC UA, IEC-61850 MMS/GOOSE, MQTT, SNMP, syslog, NTP/PTP, IRIG-B, and vendor-specific interfaces. - Lead technical evaluation of controls integrators, network equipment suppliers, design consultants, contractors, and commissioning agents - Review network equipment submittals, configurations, firmware assumptions, certifications, test reports, and quality documentation. - Support factory witnessed testing (FWT), site acceptance testing, network readiness checks, failover testing, and integrated systems testing. - Troubleshoot complex controls network issues including packet loss, latency, duplicate IPs, routing errors, firewall drops, protocol incompatibilities, time synchronization drift, and intermittent device communication failures. Qualifications - 8+ years of relevant experience in controls engineering, industrial automation, OT networking, mission-critical facilities, or similar critical infrastructure environments. - Strong expertise in resilient OT network architecture, implementation, troubleshooting, and lifecycle support. - Experience with OT/IT boundary design, secure enterprise integration, firewall policy design, redundant topologies, out-of-band management, and monitoring. - Hands-on experience with Layer 3 OT network design, including IP addressing, subnetting, routing, VRFs, ACLs, inter
Account Director, Mid-Market
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role This role is part of our ANZ Mid-Market team which will own both named account pursuits and executing programmatic sales via OpenAI partners. You’ll be a key driver of writing the playbook for Mid-Market in APAC as an AI Native Sales team. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Sydney. In this role, you'll: - Manage a portfolio of accounts, developing and executing strategies for a comprehensive regional go to market plan - Win lighthouse accounts through outbound sales outreach - Partner with solutions and research engineering to build and execute complex customer programs and projects - Own a consumption revenue target - Manage consumption revenue forecasts - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 7+ years of direct selling experience in Data and AI or Cloud - Designing and executing complex go to market strategies - Orchestrating programmatic sales motions with partners - Experience operating in fast paced, high growth environments - Working directly with c-level executives - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Hands on experience with AI tools You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For addit
Enterprise Account Executive, State & Local Sales...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a State and Local Government Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across state and local government agencies including New York, Pennsylvania, Massachusetts and New Jersey. You'll leverage your deep understanding of state and local government operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the state and local government market while maintaining the highest standards of security and compliance. Responsibilities: - Drive new business and revenue growth specifically within state and local government agencies, owning the full sales cycle from initial outreach through deployment - Navigate the unique requirements of state and local government procurement, including state-specific regulations, security standards, and agency-specific requirements - Build and maintain relationships with key decision-makers across state, county, and municipal agencies, becoming a trusted advisor on AI capabilities and implementation - Develop and execute strategic account plans that align with agency missions and modernization initiatives - Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration - Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet state and local government requirements - Create and maintain sales playbooks specific to state and local government use cases and procurement processes - Take a leadership role in growing our state and local government presence while maintaining hands-on engagement with key accounts - Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: - 7+ years of enterprise sales experience in the state and local government space specific to New York, Pennsylvania, Massachusetts and New Jersey, with a proven track record of driving adoption of emerging technologies - Deep understanding of state and local government agency missions, challenges, and technology needs - Demonstrated ability to balance strategic leadership with hands-on sales execution - Experience navigating complex state and local procurement processes and compliance requirements - Strong track record of exceeding revenue targets in the state and local government space - Extensive experience with state and local government contracting vehicles and procurement mechanisms - Excellent relationship-building skills across all levels, from technical teams to senior agency leadership - Proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators - Strategic thinking combined with attention to detail in execution - Familiarity with state-specific data privacy laws and security complia
Member of Technical Staff (Product Data Scientist,...
Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently. Responsibilities - Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption - Formulate hypotheses and validate them by designing, running, and analyzing A/B tests - Determine appropriate metrics and visualizations for tracking, and implement them in dashboards - Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback Qualifications - 4+ years of experience working as a data analyst or in a related role - Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments - Strong Python skills (expected to write production-grade code) - Proficiency with SQL - Experience with Business Intelligence (BI) tools - Deep knowledge of statistics Preferred Qualifications - Proficiency with Apache Spark - Experience with Databricks - Experience with development of LLM-as-a-judge systems
Software Engineer, ChatGPT Shopping
About the Team ChatGPT is evolving from answering questions to becoming a deeply personalized assistant that helps people discover, create, and make decisions across everyday life. We're building new multimodal product experiences that combine language, images, personalization, and interactive interfaces to help millions of users accomplish tasks in entirely new ways. This team sits at the intersection of AI research, product engineering, design, and consumer experiences. We move quickly, ship frequently, and work on products that define how people interact with AI every day. About the Role We're looking for exceptional full stack product engineers who love building polished consumer experiences from the ground up. You'll work across frontend, backend, AI-powered workflows, and rich interactive interfaces to create new product experiences that blend conversation, visual understanding, personalization, and commerce. You'll collaborate closely with designers, researchers, product managers, and model teams to rapidly prototype, launch, and iterate on experiences used by millions of people. This is an opportunity to help invent entirely new interaction paradigms—not just build traditional web applications. In This Role, You Will - Design and build end-to-end product experiences across web services, APIs, and modern frontend applications. - Partner closely with product, design, and research to rapidly prototype and launch new AI-native experiences. - Build intuitive, performant interfaces that make advanced AI capabilities feel simple and delightful. - Develop scalable backend systems that power personalized, real-time product experiences. - Work with multimodal capabilities including text, images, and interactive UI components. - Iterate quickly using user feedback, experimentation, and product metrics. - Help define engineering standards, architecture, and technical direction for a fast-growing product area. You Might Thrive If You - Have significant experience building consumer-facing products end to end. - Are comfortable moving across frontend, backend, infrastructure, and product architecture. - Care deeply about craft, user experience, and product quality. - Enjoy ambiguity and are energized by taking ideas from zero to one. - Think like both an engineer and a product builder. - Have strong systems thinking while maintaining exceptional attention to detail. - Communicate well across engineering, design, product, and research teams. Preferred Qualifications - Strong experience with modern frontend technologies (React, TypeScript, Next.js, or similar). - Experience building scalable backend services using Python, Go, Node.js, Rust, or comparable technologies. - Familiarity with distributed systems, APIs, and cloud infrastructure. - Experience building highly interactive consumer products. - Background working with AI, machine learning products, search, recommendations, personalization, or multimodal systems is a plus. - A track record of shipping products quickly while maintaining engineering quality. What Success Looks Like Successful engineers on this team combine strong technical execution with excellent product judgment. They move fluidly between prototyping and production systems, collaborate effectively across disciplines, and consistently deliver experiences that feel intuitive, elegant, and magical to users. They are excited by fast iteration, comfortable making decisions with imperfect information, and motivated by building products that redefine how people use AI every day. Why OpenAI At OpenAI, you'll work alongside some of the world's best researchers, engineers, designers, and product thinkers to build AI that benefits everyone. We value curiosity, ownership, humility, and a bias toward shipping impactful products. If you're excited about inventing new consumer experiences powered by frontier AI—and want to help shape the future of how millions of people interact with technology—we'd love to hear from you. About O
Staff+ Software Engineer, Public Sector
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is bringing Claude to the U.S. government and allied democracies, and we’re looking for startup-minded engineers to grow our public sector engineering team. This is a small team with large surface area. You’ll work across the stack to take products from 0 to 1 and beyond. We are looking for product- and civic-minded engineers with a track record of building and scaling great products. The opportunities outpace our ability to build them all, so the right candidate thrives on sharp judgment, prioritization, and focus. You’ll own work like: - Building Claude products that can be used by customers in highly regulated environments - Deploying Claude into government networks - Understanding and improving Claude’s usefulness in common government workflows – for example, policy research, benefits administration, intelligence analysis - Scaling and innovating Claude for Government, our existing product serving U.S. government customers today Our team is filling a number of roles and is open to candidates with either full-stack or backend experience. Key responsibilities - Architect and ship deployments that meet public sector compliance and security requirements, from FedRAMP to classified networks - Build AI applications tailored to government workflows by developing deep understanding of how agencies actually operate - Partner with research and safeguards teams to evaluate and improve Claude for government use cases - Work directly with government customers and internal go-to-market teams to turn requirements into technical and product roadmaps - Design scalable systems for deployment, user management, and administrative controls across constrained environments - Create clarity and technical direction in a fast-moving environment with unique constraints Minimum qualifications - Experience building AI products and a working intuition for their capabilities and limitations - A strong technical track record building and shipping enterprise- or government-grade products - Excellent cross-functional collaboration skills — you’ll partner with sales, legal, research, and policy teams alike Preferred qualifications - Have 8+ years of experience as a full stack or backend software engineer - Startup experience, particularly in scaling products from zero to one - Experience partnering with sales, customer success, and professional services teams to drive product adoption - Experience deploying software on government networks - Active federal security clearance (Secret or above) This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports a United States federal, state, and/or local government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizens
Manager, IT Risk and Controls
About the Team The IT Risk & Controls function sits within the Finance Risk Management (FRM) team and plays a critical role in designing secure, compliant, and scalable systems that support our mission. Our team is responsible for implementing and governing IT General Controls (ITGC) and automated application controls (ITAC) that underpin the integrity of financial reporting. Our work spans access and change management, segregation of duties, system configuration, and integration oversight. We partner closely with Engineering, Security, and Compliance to ensure financial systems are compliant, resilient, and automation-ready. FRM, as the broader function, leads OpenAI’s financial risk posture—spanning governance over internal controls, third-party risk, audit readiness, and financial systems oversight. Together, we provide the foundation of trust that enables OpenAI to operate at global scale. About the Role We’re seeking an experienced, execution-focused Manager to help build a world-class IT controls environment supporting finance-critical systems. In this role, you’ll lead the design, assessment, and readiness of controls, evaluate risk across systems and integrations, and ensure that our control environment is rigorous, scalable, and aligned with business growth. You’ll work closely with Engineering, Security, and Finance teams to embed proactive, technology-driven control solutions into our operations. What you’ll do: - Own IT SOX readiness for finance and HR-related systems, and other systems impacting financial reporting. - Design and improve controls across end-to-end, system-driven processes such as revenue workflows, financial close, payroll, equity administration, procurement intake/approvals, and HR/Finance integrations. - Partner closely with Finance, Accounting, HR, Engineering, Security, and system owners to make sure system logic, automations, integrations, roles, workflows, and configurations support accurate and reliable financial reporting. - Evaluate Oracle Fusion access, role design, segregation of duties, privileged access, provisioning/deprovisioning, quarterly access reviews, audit logging, and key finance configurations. - Assess Oracle Fusion change and configuration governance, including setup changes, approval workflows, flexfields, scheduled jobs, integrations, custom reports, and release/update impacts.. - Support audit readiness end-to-end: walkthroughs, documentation, evidence standards, PBC coordination, and auditor Q&A. - Drive smarter ways of working by improving control automation, standardization, and continuous monitoring across Oracle Fusion and connected finance, HR, and procurement systems. - Act as the day-to-day point of contact for external auditors on IT risk, ITGCs, automated controls What we’re looking for: - Bachelor’s or Master’s degree in Accounting, Finance, Business Administration, Information Systems, or a related field, or equivalent experience. - 5+ years of experience in IT audit, SOX, internal controls, or risk management, with hands-on exposure to financial reporting systems. - Strong hands-on Oracle Fusion Cloud ERP experience, especially in an ITGC, SOX, IT audit, or controls capacity. - Experience designing and testing ITGCs for Oracle Fusion, including user access, role provisioning, privileged access, segregation of duties, change/configuration management, job monitoring, and availability controls. - Experience with Oracle Fusion Financials controls across areas such as general ledger, procure-to-pay accounting impacts, order-to-cash/revenue, financial close, reporting, integrations, and key configurations. - Familiarity with Workday controls related to HR master data, payroll inputs/outputs, role-based access, integrations, and downstream finance impacts. - Familiarity with Zip or similar procurement intake/workflow platforms, including approval workflows, access controls, vendor/request data, and integrations with ERP or finance systems. - Strong experience desig
Communications Manager
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Comms is a small, newly formed function, and we’re looking for someone to help define how the world perceives ElevenLabs as we expand beyond our roots in voice AI. You’ll work closely with our growth, engineering, policy, and leadership teams to increase awareness of what we’re building and the future we’re working towards. You’ll be responsible for a combination of: - Shaping perceptions of ElevenLabs, with strategies, stories and updates that advance how the world thinks about us. - Creating compelling content that earns organic interest, from blogs and event talk tracks, to demos and social posts. - Running ElevenLabs' social presence on X and LinkedIn, managing the calendar and finding creative ways to bring our work to life. - Building and maintaining relationships with journalists, writers, and other important players across the business, tech, and creator ecosystem. - Working closely with domain experts across the company to translate their work into compelling narratives that land with specific audiences (for example, building awareness of ElevenAgents with enterprise leaders). - Establishing the infrastructure that keeps communications running at global scale, including introducing new systems, managing agencies, and coordinating with internal teams. REQUIREMENTS The ideal candidate will be genuinely fascinated by what AI is making possi
Partner Manager, Global Health
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. About the Role We're looking for a Partnerships Manager to drive forward the clinical AI research agenda for Anthropic's global health work — informing the tools that bring Claude safely into care and generating the evidence that proves they work. You'll help define how clinical AI tools should be validated for use in low- and middle-income countries (LMICs), and you'll help shape the tools and safeguards that make Claude safe and usable in clinical settings. This is a hands-on role as much as a research one: you'll work side by side with Anthropic's research, evals, and product teams, translating what you know from how care actually gets delivered in low-resource settings into evaluations, safeguards, and product improvements. You'll join a small, tight-knit global health team within Beneficial Deployments. While you'll lead on this domain, you should expect to roll up your sleeves on adjacent workstreams, help shape overall team strategy, and be a thought partner to colleagues working on other parts of the health system. Everyone on the team owns the whole mission, not just their lane. Key responsibilities - Own the clinical research and evaluation agenda for our global health work — define what we need to prove, to what standard, and with whom, and drive it. - Design clinical evaluations and validation frameworks for LLMs in LMIC contexts, covering accuracy, safety, multilingual performance, and real-world conditions, in close partnership with Anthropic's research, evals, and product teams. - Develop theories of change and outcome metrics connecting model capability to care quality, health-worker performance, and patient outcomes. - Build and manage our global research partnerships, and engage with relevant regulatory and normative bodies (WHO, national authorities, research-ethics bodies). - Partner with internal research and product teams to improve Claude for clinical use cases in low-resource settings. Stay grounded in how care is actually delivered in LMICs so our tools and evaluations reflect those realities. - Contribute across the broader global health portfolio — lean in on adjacent workstreams, help set strategy, and be a thought partner to the team. Minimum qualifications - Medical training and clinical practice (MD, GP, MBBS, DO, or equivalent), with direct experience delivering care in low-resource settings — you reason fluidly from how diagnosis, triage, treatment, and referral actually happen at the point of care in low and middle income countries. - A concrete, on-the-ground understanding of clinical and care-delivery workflows in LMIC
Finance Systems Integration Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development. You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges. In this role you will: Core Focus: Integration Development & ERP Support - Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions - Support integration development and testing during the ERP implementation projects - Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication - Implement real-time and batch integration patterns supporting high-volume financial transactions - Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity - Document integration architectures, data flows, API specifications, and troubleshooting procedures - Collaborate with implementation consulting partners and vendors on technical integration requirements Additional Scope: AI Automation & Data Infrastructure As you master our integration landscape, you'll have opportunities to expand into: AI Agent Development - Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting - Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes - Create automated validation and quality assurance processes for AI-generated outputs - Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions Data Pipeline Support - Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation - Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting - Implement data quality checks a
Corporate Business Development Lead
About the Role We are a small, fast-moving partnerships team that shapes and executes OpenAI’s most strategic collaborations. In this role, you will lead initiatives spanning everything from strategic deals to enabling new ecosystem launches in consumer and enterprise software as well as hardware. You will build deep relationships, set and ensure we have the right joint strategy and programs in place, lead cross-functional workstreams, and iterate on complex deals to break new ground and advance OpenAI’s mission. You are a seasoned leader with deep experience in architecting complex deals across all aspects of the business, comfortable operating amid ambiguity, and capable of driving alignment at the executive level while simultaneously pushing critical programs to delivery. You have a background in both software and hardware industries and prior experience scaling new platforms and ecosystems. Key Responsibilities: - Own the partner relationship end-to-end. Be the primary point of contact internally and externally for OpenAI’s most important strategic partners. - Define and drive joint strategy and roadmap alignment. Collaborate with product, engineering, finance, sales, legal to translate product and engineering priorities into partner roadmaps, milestones, and decision points. - Technical diligence and partner strategy. Evaluate build/buy/partner options, understand where advantages/risks sit, and provide clear recommendations grounded in technical and business analysis (user experience, data sets, cost targets, silicon device HW/SW stack, timelines etc.). - Structure and negotiate complex agreements. Lead negotiations with the partner, owning the lifecycle from initial deal structure through launch, expansion and renewal. - Run operating rhythm and governance. Establish and lead QBRs, steering committees, and exec briefings. Unblock issues fast and hold both sides accountable to outcomes. - Measure and communicate impact. Own the KPI framework and reporting: launch milestones, partner adoption, revenue or usage impact, ecosystem growth, strategic leverage, and partner health. - Build trusted, long-term relationships with partner executives; influence roadmaps, investment decisions, and capacity allocation. Qualifications: - 12+ years of experience in business development, strategic partnerships, or general management of marketplaces/ecosystems. Commercial leadership within semiconductors, consumer electronics, cloud infrastructure, or marketplaces preferred. - Demonstrated success across the lifecycle of complex strategic partnerships that combine product integration, commercial terms, GTM execution, and long-term platform alignment. - Strong technical fluency and cross-functional leadership across product, engineering, GTM, legal, policy, security, support, and operations, particularly where execution depends on influence. - Clear communication, structured thinking, and comfort making prioritization calls in a fast-moving and ambiguous environment. - Exceptionally high quality judgment and integrity. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy
Account Associate - SF
About the Team OpenAI’s Enterprise Go-To-Market organization helps the world’s largest companies adopt and scale our AI platform across their business—from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Account Associates sit at the front of this motion—where technical curiosity turns into executive engagement, and early product signals become enterprise-wide deployments. About the Role This role is designed as a launchpad for future enterprise sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You’ll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 4-6+ years of professional experience who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in AI go-to-market. In this role, you will identify, shape, and advance complex enterprise opportunities by turning product usage, pilots, and inbound demand into qualified, high-conviction enterprise opportunities for our Large Enterprise and Strategic Accounts teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week (Monday through Wednesday) and offer relocation assistance to new employees. In this role, you will: - Partner with Account Directors on account strategy, multi-threading, and deal progression - Design and execute targeted outbound strategies using industry context, stakeholder mapping, and product signal to break into priority accounts - Lead high-quality discovery to uncover business priorities, map stakeholders, and assess enterprise readiness - Contribute to pipeline reviews by sharing outbound activity, account insights, and early competitive signals. - Build and iterate on AI-enabled GTM workflows (GPTs/agents) to scale prospecting and qualification You may thrive in this role if you: - Have 4+ years of relevant experience in enterprise sales, or in strategic customer-facing roles in the finance or consulting industry - Have a track record of consistently hitting and exceeding ambitious targets in enterprise or strategic sales environments - Experience selling into regulated or complex industries (Financial Services, Life Sciences, Retail) - Strong communication skills and executive presence; able to build credibility with senior C-Suite stakeholders across an organization, and speak fluently with technical buyers - Strong interest in the AI landscape with the ability to connect OpenAI products to real customer value and business outcomes - You enjoy evangelizing new technology and helping the market understand what’s possible - You’re comfortable with ambiguity, moving quickly, and operating well with a high degree of ownership About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different pers
Abuse Investigator - Child Safety
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice. The Intelligence and Investigations team supports this mission by identifying, analyzing, and investigating misuse of our products, particularly novel or emerging abuse patterns. Our work enables partner teams to develop data-backed product policies and build scalable safety mitigations. By precisely understanding abuse, we help ensure OpenAI’s products can be used safely to build meaningful, legitimate applications. About the Role As a Child Safety Investigator on the Intelligence & Investigations team, you will identify and disrupt actors attempting to use OpenAI’s products to sexually exploit minors both online and in the real world. OpenAI maintains strict prohibitions in this area and reports apparent CSAM and other credible child sexual exploitation threats to the National Center for Missing and Exploited Children (NCMEC), consistent with applicable law and our policies. This role requires domain-specific expertise, technical fluency, and the ability to operate in ambiguous, high-impact situations. You will conduct in-depth investigations into user behavior, analyze product data, identify emerging threat patterns, and support enforcement actions — including escalations requiring legal review and external reporting. You will also help develop detection strategies that proactively surface high-risk behavior, especially cases that evade existing safeguards. This role includes responding to time-sensitive escalations. Investigations may involve exposure to sensitive and disturbing material, including sexual or violent content. In this role, you will: - Investigate high-severity child safety violations and disrupt malicious actors in partnership with Policy, Legal, Integrity, Global Affairs, Security, and Engineering teams, including through cross-platform and cross-internet research - Support investigations across other high-risk harm areas where child safety concerns intersect - Conduct open-source and cross-platform research to contextualize actors and abuse networks - Develop detection signals, behavioral heuristics, and tracking strategies to proactively identify high-risk users using tools such as SQL, Databricks, and Python - Communicate investigation findings clearly and effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries - Develop a deep, working understanding of OpenAI’s products, internal data systems, and enforcement mechanisms - Collaborate with engineering and data partners to improve investigative tooling, data quality, and analyst workflows - Support time-sensitive escalations and high-priority investigations requiring rapid analysis and sound judgment - Represent investigative findings and work externally with the press, governments, NGOs, and law enforcement agencies - Participate in a rotating on-call schedule to support timely response to high-priority safety incidents and sensitive investigations You might thrive in this role if you: - Have deep expertise in online child safety and child exploitation threats - Have familiarity or proficiency with technical investigations, especially using SQL, Python, Notebooks and scripts in a government, law enforcement and/or tech-company setting - Speak one or more languages in addition to English - Have at least 5+ years of experience tracking threat actors in abuse domains - Have worked on time-sensitive escalations involving high-risk harm - Have presented analytic findings to senior stakeholders or external partners - Have experience scaling and automating processes, especially with language models About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of huma
Developer Marketing Lead, India
About OpenAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence benefits all of humanity. We push the boundaries of AI capabilities while prioritizing safety, responsible deployment, and human needs. Our mission requires a team that represents a diversity of perspectives, voices, and experiences. About the Role We are seeking an experienced India Developer Marketing Lead to build OpenAI's India strategy for developer audiences. This is a senior role for a marketer who understands technical audiences, can translate global developer priorities into India-relevant programs, and knows how to earn builder trust through useful education, credible storytelling, strong launches, and high-quality ecosystem activation. The role will prioritize developers while supporting startup marketing where builder and founder ecosystems naturally overlap. That includes technical founders, startup builders, founder-developer communities, startup ecosystem moments, and programs that help high-potential startups discover and build on OpenAI. The ideal candidate brings strong developer marketing experience, India market judgment, and the ability to partner closely with Developer Relations, Product Marketing, Product, Growth, Startups, Partnerships, Content, Events, and India/APAC marketing teams. The role will be based in Bangalore. In this role, you will: - Lead India developer marketing strategy across priority audiences, channels, communities, cities, and product moments. - Build programs that improve developer awareness, education, product understanding, adoption, and advocacy. - Translate global developer launches and narratives into India-relevant activation plans. - Partner with Developer Relations and technical stakeholders to ensure programs are credible, useful, and grounded in builder needs. - Develop repeatable India plays across content, technical education, developer events, hackathons, builder workshops, community moments, ecosystem partnerships, and builder stories. - Support startup marketing initiatives where startup and developer audiences overlap, including technical founders, startup builders, startup ecosystem moments, founder-led proof points, and programs that create adoption with early-stage builders, while keeping the core mandate centered on developers. - Establish clear operating rhythms, prioritization, measurement, and feedback loops with global, India, and APAC partners. - Bring India developer insight, market nuance, and ecosystem opportunities into global planning. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - 10+ years of experience in developer marketing, technical marketing, product marketing for developer products, community-led technology marketing, or integrated marketing for technical platforms. - Proven track record building credible marketing programs for developer audiences. - Experience leading India-market or multi-city programs across launches, education, content, events, community, and ecosystem channels. - Strong cross-functional experience with Developer Relations, Product, Product Marketing, Growth, Startups, Partnerships, and India/APAC marketing stakeholders. - Ability to work across strategic planning and hands-on execution in fast-moving, ambiguous environments. - Strong communication, prioritization, and stakeholder management skills. - Clear understanding of how developer trust, technical usefulness, and product adoption connect. Nice to have: - Experience with AI, APIs, developer platforms, cloud tooling, or applied AI ecosystems. - Familiarity with India developer communities, technical events, startup ecosystems, accelerators, investors, and founder-builder channels. - Experience working across developer and startup audience overlap, including builder programs, founder storytelling, or startup ecosystem activations. OpenAI is an equal opportunity employer and we value thoughtful builders who bring curiosity, rigor, and care to complex work.
Strategic Finance Lead - Infrastructure
ABOUT THE ROLE Perplexity is seeking a Strategic Finance - Infrastructure Lead to provide financial leadership over our cloud service provider (CSP) spend, compute and model capacity planning, and broader infrastructure economics. This person will be a core partner to our engineering, infrastructure, and product teams, bringing financial rigor and judgment to the most consequential cost decisions the company makes. You’ll build the models that underpin our capacity investments, own the day-to-day CSP and model provider relationships, and help shape how we plan for infrastructure as the business scales. The role partners closely with Accounting and Engineering leadership to keep our compute and CSP strategy tightly aligned with the company’s financial trajectory. RESPONSIBILITIES: Capacity Planning & Infrastructure FP&A - Build and maintain multi-year capacity forecasts and scenario models across CPU, GPU, and accelerator footprints - Partner with Strategic Finance leadership on long-horizon capacity decisions, including reserved/committed structures and build-out sequencing - Lead ROI and trade-off analysis for new platforms, hardware generations, and efficiency initiatives - Translate engineering and product roadmaps into capacity requirements and the cost envelope to support them Cloud Service Provider (CSP) Financial Management - Own day-to-day management for all core infrastructure spend, including the monthly bill, variance analysis, and forecasting - Drive efficiency and optimization initiatives with engineering and infrastructure teams - Build cost-driver models that explain spend movements and surface the levers behind them - Support CSP rate and commit negotiations with rate analysis, benchmarking, and contract modeling - Maintain deep working knowledge of CSP contract terms, pricing structures, discount programs, and optimization opportunities - Partner with Accounting on contract operationalization, accrual accuracy, and compliance Inference Cost Allocation & Unit Economics Support - Own management and forecasting of inference costs end-to-end, including product unit economics - Partner with Strategic Finance and executive leadership on scenario analysis to understand core unit economics and product-mix view and it’s impact on strategy and financial statements - Support training-run budgeting, tracking, and ROI analysis YOU MAY BE A GOOD FIT IF YOU HAVE: - 4+ years of experience in strategic finance or FP&A at a high-growth technology company, plus 2+ years in investment banking at a top-tier firm - Strong financial modeling skills and the ability to translate complex operating data into clear, decision-ready analysis - A track record of partnering effectively with engineering or technical teams to drive financial outcomes - Comfort communicating complex financial concepts to non-finance audiences across the company - Bias for action, first-principles thinking, and an ability to make progress in ambiguous environments - Excitement about working in a fast-paced, hyper-growth setting and adapting quickly as priorities shift - Strong process discipline, business judgment, and cross-functional communication skills - Genuine interest in AI infrastructure and the cost dynamics of large-scale model serving and training STRONG CANDIDATES MAY ALSO HAVE: - Direct experience managing or modeling cloud infrastructure spend (AWS, GCP, Azure) - Background in AI, ML, or high-performance computing infrastructure economics - Familiarity with GPU pricing, reserved/committed structures, and CSP discount mechanics - Experience supporting capital-intensive capacity decisions or multi-year vendor commitments - Advanced Excel and financial modeling skills
Member of Creative Studio (Motion Designer)
ABOUT THE ROLE We're looking for a Senior Motion Designer to own motion graphics and GTM video output across Perplexity's social channels. Video is one of our most important channels for telling the Perplexity story, and we want someone whose primary focus is producing a steady stream of high-quality, on-brand motion work that performs. This is a video-production-first role. You'll spend most of your time concepting, animating, and shipping GTM materials for social — fast, polished, and distinctly Perplexity. In a secondary capacity, you'll help define our motion principles and contribute to broader creative technologist work as our motion practice matures. You'll report into the Brand/Creative Studio team and work closely with Brand, Growth, Comms, and the Producer to keep the pipeline moving. WHAT YOU'LL DO - Own the creation of motion graphics and video content for our social channels — concepting, storyboarding, animating, and delivering GTM materials end-to-end - Make video production your primary focus: a consistent, high-volume output of polished, on-brand motion work - Bring ideas to life across 2D and (where relevant) 3D, from styleframes and animatics to final delivery - Partner with Brand and Growth to turn launches and campaigns into motion that lands on social - Contribute to Perplexity's motion principles, systems, and templates so motion scales consistently across the team (secondary focus) - Contribute to broader creative technologist explorations — new tools, techniques, and AI-assisted workflows (secondary focus) - Collaborate with the Producer on scoping, scheduling, and delivering work on time WHAT WE'RE LOOKING FOR - Senior-level experience in motion graphics and animation, with video production as your core craft - A strong portfolio of expressive motion work — especially social, campaign, and GTM content that demonstrates range and polish - Deep command of animation fundamentals: timing, spacing, composition, visual rhythm, and design sensibility - Expert proficiency in After Effects and the broader Adobe Creative Suite; comfort in Figma - Ability to work fast, manage multiple deliverables, and iterate quickly in a high-output environment - A strong sense of when motion adds clarity or emotion — and when a still is the better choice NICE TO HAVE - Experience developing motion principles, systems, or toolkits that scale across a team - Comfort across 2D and 3D, plus compositing, post-production, and optimization for different social platforms - Creative technologist instincts — building or experimenting with tools and AI-assisted motion workflows - Graphic design fluency (layout, hierarchy, type) sufficient to build and adapt assets directly
Partner Marketing Lead, APAC
About OpenAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence benefits all of humanity. We push the boundaries of AI capabilities while prioritizing safety, responsible deployment, and human needs. Our mission requires a team that represents a diversity of perspectives, voices, and experiences. About the Role We are seeking an experienced APAC Partner Marketing Lead to build OpenAI's regional marketing strategy with priority strategic and ecosystem partners across Asia-Pacific. This is a senior marketing role focused on joint narratives, co-marketing programs, partner-led education, regional moments, and integrated activations with important technology partners. The role works closely with Partnerships, partner-side marketing teams, and regional and global marketing stakeholders to turn strategic relationships into credible, high-quality programs for enterprise, developer, and startup audiences. It is not a commercial partnerships role; success depends on strong marketing judgment, alliance fluency, and the ability to align complex stakeholders around programs that create audience value and regional leverage. Key Responsibilities - Lead APAC partner marketing strategy for priority strategic technology, platform, and ecosystem partners. - Build joint marketing plans across narratives, campaigns, events, education, customer proof, and regional activations. - Partner closely with APAC and global Partnerships teams while owning marketing prioritization, program design, and execution quality. - Coordinate with B2B, Developer, Startup, Content, Events, Product Marketing, Comms, and Country Marketing teams to activate the right audiences and channels. - Develop scalable partner marketing playbooks, planning rhythms, briefs, review processes, and measurement frameworks. - Represent APAC market needs and partner opportunities in global partner marketing planning. - Manage partner-side and internal stakeholders with clarity around roles, decisions, approvals, timelines, and outcomes. - Use program performance, partner feedback, and regional insight to refine the partner marketing roadmap over time. Qualifications - 10+ years of experience in partner marketing, alliance marketing, ecosystem marketing, integrated B2B marketing, or a related discipline in technology. - Proven track record building co-marketing programs with major technology, cloud, platform, or ecosystem partners. - Strong understanding of how strategic partnerships translate into audience narratives, programs, channels, and measurable marketing outcomes. - Experience influencing across companies, functions, cultures, and senior stakeholder groups. - Demonstrated ability to operate strategically and execute pragmatically in fast-moving, ambiguous environments. - Strong cross-functional experience with Partnerships, Product Marketing, Sales or GTM, Content, Events, Comms, and regional marketing teams. - Excellent communication, prioritization, and stakeholder management skills. Nice to Have - Experience with AI, cloud platforms, developer ecosystems, startup ecosystems, or enterprise technology. - Familiarity with APAC markets and partner ecosystems. - Experience working with AWS or similarly scaled strategic partners. OpenAI is an equal opportunity employer and we value thoughtful builders who bring curiosity, rigor, and care to complex work. If you are excited to help shape how OpenAI works with strategic technology ecosystems across APAC, we would love to hear from you. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different persp
Platform Security Engineer, OpenBMC
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is standing up a founding team to own the OpenBMC-based management firmware running across its server fleet. You would be one of the first engineers on it. That means production firmware and manageability features (board bring-up through production) on one side, and hardening that firmware against sophisticated adversaries on the other. Security is a first-class constraint in everything you ship: you'll write firmware to a high security bar and partner closely with our firmware security and hardware engineers on secure boot, signing, and attestation. Key responsibilities Production and manageability: - Design, build, and ship OpenBMC firmware and manageability features for x86 and Arm (including GPU) platforms, from bring-up through production, using Yocto/OpenEmbedded - Build the management stack on DMTF/OCP standards (MCTP, PLDM, SPDM, Redfish, RDE) and IPMI/KCS: sensors, telemetry, inventory, logging, RAS - Implement BMC-to-BIOS/host communications, eSPI/LPC, thermal/fan/power management (PMBus) - Work the hardware/firmware boundary: I2C/I3C, SPI, PCIe, SMBus, device trees, U-Boot, Linux Security and hardening: - Own the BMC security posture: secure and measured boot, root of trust, attestation (SPDM), authenticated update (PLDM FW Update), rollback protection, attack-surface reduction - Lead threat modeling and secure design reviews; run coordinated vulnerability disclosure with vendors and the upstream community - Build verification tooling: static analysis, fuzzing, firmware extraction, CI gating Minimum qualifications - Strong technical cross-functional leadership skills, direction setting - Hands-on OpenBMC/BMC firmware experience on x86 and/or Arm, from bring-up through production with hands-on D-Bus/sdbusplus - Strong C/C++ and Python, deep Linux user-space/kernel fundamentals, and Yocto/OpenEmbedded proficiency - A security mindset applied to firmware, not bolted on afterward - Upstream contributions to OpenBMC, U-Boot, DMTF, or OCP - Working knowledge of out-of-band and in-band management, the relevant DMTF specs, and the device interfaces they run over - Strong debugging and a track record of shipping reliable, well-tested code. - Clear communication across internal teams and external vendors - Ability to work effectively across hardware and software boundaries - Knowledge of NIST firmware security guidelines and hardware security frameworks, specifically SP 800-193 and 800-147/155 Preferred qualifications - 8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security) - Hardware roots of trust and attestation: Caliptra, OCP S.A.F.E., TPM/HRoT, SPDM - Memory-safe systems code in Rust or Zig - Firmware vulnerability resea
Platform Product Partnerships Lead
About the Role As a member of the Platform Partnerships team, you will lead some of the most important integrations connecting the world into OpenAI’s flagship products, including Codex and ChatGPT. This role has enormous impact, as OpenAI users and their agents increasingly interact with third-party services. You will set partnership strategy, craft mutually beneficial commercial and technical agreements, and work closely with product and engineering teams to bring new platform capabilities to market. You will help decide what gets built, which partners to prioritize and how a new generation of AI-native services come to life. This role sits at the intersection of product, engineering, partnerships, and ecosystem strategy. The right person is someone who can run deals end-to-end, navigate ambiguity, push product thinking when needed, and move fast with partners and internal teams. In this role, you will - Lead full lifecycle partnerships, from identifying and prioritizing partners to negotiating terms, closing complex agreements, and driving partner success. - Work directly with Product and Engineering to shape how connectors, agents, and third-party workflows function inside ChatGPT and Codex. - Develop ecosystem relationships to drive deeper engagement across distribution, co-marketing, and product innovation. - Translate partner commercial needs, technical constraints, and market dynamics into program and product recommendations, prioritization calls, and go-to-market plans - Bring structure to ambiguous opportunities and help the team decide where to go deep, move fast, or say no. - Drive aggressive timelines by clearing blockers and aligning internal and external workstreams. You might thrive in this role if you - 10+ years of experience in product partnerships, product management, or developer relations. - Demonstrated success structuring and negotiating complex commercial and technical deals, with strong negotiation skills with a focus on creative solutions. - Excellent product and technical judgement, and experience building ecosystems or integrations for emerging products. - Self-driven, relationship-oriented, and adept at operating in a fast-changing environment. - Exceptional communication, structured thinking, and program management skills. - Ability to thrive in fast-paced ambiguous environments. - Creativity, adaptability, and a willingness to challenge assumptions. - Strong ability to collaborate with product and engineering leaders and build trust with external partners. Compensation Range: $266K - $295K USD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history m
Procurement Enablement Lead
ABOUT THE ROLE We’re looking for a Procurement Enablement Lead to improve how employees and stakeholders navigate procurement at OpenAI. This role partners across Procurement, Finance, Legal, Security, Privacy, and Enterprise Technology to simplify workflows, improve guidance, and support scalable procurement experiences across the procurement lifecycle. You’ll translate procurement policies and operational requirements into clearer processes, better-enabled systems, and more intuitive employee experiences that reduce friction while strengthening consistency and controls as OpenAI continues to grow. This role is ideal for someone who combines operational judgment, process design, and strong cross-functional partnership skills. You should be comfortable working in evolving environments where systems and workflows are still being built and continuously improved. A key part of the role will be identifying opportunities to use AI and automation to streamline workflows, reduce manual work, and improve service delivery across Procurement operations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days per week in the office and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Partner across Procurement, Finance, Legal, Security, Privacy, and Enterprise Technology to improve how procurement work gets requested, routed, approved, and supported across the spend lifecycle. - Help design and improve procurement intake, guidance, and workflow experiences that make it easier for employees and stakeholders to navigate procurement processes. - Translate procurement policies, operational needs, stakeholder feedback, and operational insights into clear business requirements for workflows, automation, reporting, analytics, and process improvements. - Partner with Enterprise Technology and tool owners to support workflow configuration improvements across procurement systems, including approvals, routing, SLAs, escalation paths, exception handling, and reporting capabilities. - Identify opportunities to use AI, automation, analytics, and decision support tools to reduce manual work, simplify employee experiences, and improve service delivery across Procurement operations. - Analyze operational data, workflow metrics, and stakeholder feedback to identify friction points, uncover trends, measure adoption, and prioritize improvements across procurement workflows and support experiences. - Build and maintain operational reporting, KPI frameworks, and workflow performance insights that support prioritization, service improvements, and data-driven decision-making across Procurement operations. - Support rollout and adoption of new procurement processes and tools, including testing, documentation, communications, training, and change management. - Help improve consistency, controls, and data quality across procurement workflows to support operational scalability, reporting, and audit readiness. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in Procurement Technology, Procurement Operations, Finance Operations, or related operational and systems-focused roles. - Bring hands-on experience with procurement and finance platforms such as Zip, Oracle Fusion, VNDLY, Navan, Brex, or similar workflow and transaction systems. - Have deep operational knowledge across Source-to-Contract, Procure-to-Pay, Travel & Expense, and Contingent Workforce / Extended Workforce processes. - Have experience designing, improving, and scaling operational workflows, automation, and service delivery models in complex enterprise environments. - Have strong analytical and data interpretation skills, including experience working with operational metrics, workflow data, reporting tools, and large datasets to drive process improvements and operational decision-making. - Are comfortable using data to identify trends, measure adoption, prioritize enhancements, and communicate operational insights to cross-functional stak
Product Support Specialist (Singapore - Weekend Co...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring our first Singapore-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. Note: Specialists in this role will work Wednesday to Sunday Responsibilities: - Become an expert in all Anthropic products - Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses - Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace - Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries. - Prioritize critically and comfortably adapt to an ever-evolving product landscape - Operate in ambiguity, making informed decisions even in never-before-seen situations - Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale - Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates - Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you: - Have experience in providing technical product support within a second tier, escalated, or priority support team. - Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease - Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) - Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution - Have crisp but kind written communication skills and a deep care for the details - Enjoy helping others learn about new features and complex concepts - Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward - Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC
Beneficial Deployments Customer Success Manager, S...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Anthropic’s Beneficial Deployments team scales its customer base across Claude Enterprise, Claude Code, and our API, we need to extend world-class customer success to a broader segment of customers through innovative, scalable approaches. The Scaled CSM will pioneer digital-first and one-to-many customer engagements that drive adoption and further mission driven organizations impact, at scale. As a Scaled Customer Success Manager at Anthropic, you’ll own the success of a broad portfolio of organizations who are committed to integrating AI to accelerate their impact. You’ll walk alongside them through onboarding, early wins, and scaled adoption — helping them stand up durable enablement, upskilling, and change-management practices so that Claude becomes part of how their teams actually work. Your work will directly shape how we engage with our nonprofit organizations at scale while maintaining the personalized, high-value experience that defines Anthropic. You’ll collaborate closely with our Beneficial Deployments Customer Success team to develop compelling content, with program leadership to co-develop engagement plans and surface learnings, with Product to channel customer insights, and with Customer Success leadership to continuously optimize our model. Importantly, this role centers on a carefully selected cohort of nonprofit partner organizations who have committed to working closely with us over the next year. You’ll partner with each of these organizations in depth — tailoring our programming, enablement, and support so it meets the distinct needs of their teams, and co-creating practices that build lasting internal capacity rather than vendor dependency. The learning generated through these will directly shape how we support the broader nonprofit ecosystem. Key responsibilities: - Own scaled customer engagement for a broad portfolio of organizations, deepening relationships through structured touchpoints that drive activation, meaningful adoption, and sustained impact aligned to each organizations mission - Design and execute one-to-many programs including workshops, office hours, cohort-based learning, peer learning webinars, partner-led thought leadership opportunities, and shared resources that educate organizations, accelerate adoption, and cultivate a vibrant cross-organizational community of practice. - Provide technical guidance. Help organizations shape AI roadmaps that are true to their mission and desired impact. Develop deep product expertise to guide implementation decisions, advise on safe and responsible adoption, and translate AI capabilities into mission-aligned outcomes for audiences from practitioners to executives - Create focus for peer exchange . Elevate customer voices and enterprise, and surface shared lessons that strengthen the broader nonprofit ecosystem. - Channel customer voice back to economic mobility team and product team by learning alongside customers — synthesizing feedback from
Software Engineer, Productivity - Model Performanc...
ABOUT THE TEAM We’re hiring software engineers to make OpenAI’s Model Performance teams more productive. These teams work on the systems, tooling, and infrastructure that help improve model performance across OpenAI’s training and inference workloads at frontier scale. ABOUT THE ROLE We’re looking for an autonomous, high-ownership developer productivity engineer who cares deeply about helping other engineers move faster, safer, and with more confidence. This role will sit within OpenAI’s Model Performance organization, contributing to developer infrastructure, CI systems, testing workflows, tooling, and broader performance infrastructure efforts. There is also a strong opportunity to contribute to the Triton project and help improve the systems that support performance-critical engineering work across OpenAI. In this role you will: - Improve development workflows for engineers working on model performance infrastructure - Design and improve CI/CD, release, validation, and testing pipelines - Build and maintain tools that improve reliability, iteration speed, and engineering confidence - Partner closely with engineers to identify friction in testing, debugging, deployment, and development workflows - Contribute to infrastructure efforts that support performance-critical training and inference systems - Help improve developer experience across Python-heavy codebases and performance-oriented infrastructure - Work in a high-context, ambiguous environment where ownership and good judgment matter You might thrive in this role if: - You are motivated by enabling the people around you and helping engineers do their best work - You have strong experience with CI/CD, developer infrastructure, testing systems, tooling, or build/release workflows - You are highly collaborative, empathetic, and comfortable partnering deeply with technical teams - You are strong in Python and enjoy building reliable, scalable developer tools and infrastructure - You have experience improving large-scale engineering workflows, especially around CI reliability, test infrastructure, and debugging velocity - You are self-directed and comfortable operating with ambiguity - You do not need direct inference or model performance experience, but you are excited to learn the domain and make the team meaningfully more effective - Experience in the PyTorch ecosystem is highly relevant - Experience with C++ or Rust is a nice-to-have, but not required - When you see repeated friction — slow tests, flaky CI, brittle release processes, painful debugging, unclear validation — your instinct is to fix the underlying system - You are pragmatic and know how to balance high standards with forward progress About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fai
Member of Technical Staff (Secure Intelligence Ins...
Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem. As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users. RESPONSIBILITIES - Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents. - Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products. - Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products. - Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms. - Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures. - Collaborate with top-tier academic and industry researchers in SII's external research network. - Publish findings at premier venues and contribute to the broader security research community. QUALIFICATIONS - Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy. - Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions. - Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product. - Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.
Technical Program Manager, Databases
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's databases underpin every service the company runs: Claude, our APIs, and the internal systems behind them. We're hiring a Technical Program Manager to drive the strategy and execution that takes this infrastructure to the next level of availability and scale. The mandate centers on three interlocking strategies: - Cross-region: how our databases achieve resilience and locality across geographic regions - Multi-cloud: how we run and operate databases across multiple hyperscalers - Private, public, and hybrid cloud: how our database footprint spans owned, cloud, and mixed environments Success in this role is a highly available, 24x7x365 database infrastructure that every Anthropic service can depend on, across regions, clouds, and deployment models. Responsibilities - Own the roadmap and execution across all three strategy pillars, turning architectural direction into sequenced, deliverable programs - Coordinate across an unusually broad set of partners: database vendors, hyperscalers, internal platform teams, and infrastructure teams - Manage external vendor and hyperscaler relationships at the working level: commitments, escalations, and joint roadmaps - Drive the dependencies, risks, and tradeoffs that come with operating databases as critical infrastructure for every service at Anthropic - Create program documentation including roadmaps, status reports, risk assessments, and communication plans - Facilitate technical decision-making by bringing together stakeholders, driving consensus, and ensuring timely resolution of blocking issues You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs - Have experience with database, storage, or core infrastructure programs and can engage meaningfully with the engineers who design and operate them - Have managed external vendor or cloud provider relationships at the working level, including commitments, escalations, and joint roadmaps - Have experience with cross-region, multi-cloud, or hybrid cloud infrastructure (preferred but not required) - Are highly organized and can manage multiple parallel workstreams effectively across distributed teams - Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations - Have excellent written and verbal communication skills, with the ability to influence without authority - Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earning
Internship - Search Backend Infra Engineer
Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable. Internship program: 12 - 24 weeks, full-time, in-person in the Belgrade office. Responsibilities: - Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers. - Design internal tools and automation to improve developer workflows and operational efficiency. - Support the design, deployment, and monitoring of cloud-native systems on AWS. - Contribute to improving CI/CD pipelines, testing infrastructure, and release processes. - Debug and optimize Linux-based services, containers, and backend systems. - Contribute to product codebases, primarily using Rust, Go or C++. Qualifications: - Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects. - Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement. - Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance. - A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment
Safety Transparency Editor, Safety Systems
About the Team Safety Systems works to ensure OpenAI’s most capable models can be developed and deployed responsibly. Our work spans evaluations, safeguards, red teaming, deployment decisions, and the systems that help OpenAI understand and reduce risk as models become more capable and widely used. Within Safety Systems, the Trustworthy AI team is growing its safety transparency function: a practice focused on helping external audiences understand OpenAI’s technical safety work with greater clarity, rigor, and continuity. We create and improve the public artifacts that explain how our systems are evaluated for safety, what safeguards we build, what decisions we make, and where uncertainty remains. This work includes system cards, the Deployment Safety Hub, safety-related blogs, public governance documents, and other outputs that communicate technical safety topics to external audiences. It also includes building new ways to make technical safety information easier to understand, navigate, and use—including AI-assisted workflows, data visualizations, and interactive tools that make complex technical work more legible over time. About the Role We are looking for a Safety Transparency Editor to own the editorial quality of key safety transparency artifacts and systems. This is a hands-on role for someone who can write crystal-clear, pitch-perfect explanations of the hardest and highest-stakes technical safety topics that OpenAI tackles, and who can lean into AI to build systems that help the broader organization do this work better. Your core responsibility is to shape and execute how our technical safety work is externally communicated: identifying the narrative thread, exercising judgment about which details matter, determining where additional context, explanation, or supporting evidence is needed, translating complexity without sacrificing precision, and helping external audiences understand both the safety measures we’ve taken and the uncertainties that remain. To do this work effectively, you will need to be comfortable educating yourself, using AI tools and existing internal evidence, about the nuances of technical safety work taking place across OpenAI. You will serve as the editorial driver behind system cards and related transparency materials, partnering closely with Safety Programs, researchers, evaluators, red-teamers, policy experts, legal partners, product marketing and communications teams, and other launch stakeholders. You will transform complex technical safety topics into public-facing artifacts that are rigorous, accessible, and faithful to the underlying substance. You’ll also be expected to use AI deeply in your own practice—not simply as a learning and drafting tool, but as a means of rethinking how this work gets done. You should instinctively look for opportunities to build workflows, automate repetitive tasks, improve consistency, and create systems that enable the organization to produce high-quality transparency artifacts at scale and speed. This role demands deep ownership and accountability. The ideal candidate is equally at home refining a tricky explanation of a nuanced technical point, and investing in building systems that make the next ten explanations easier to produce. This role is ideal for someone who combines the judgment of an exceptional editor with the mindset of a builder. You should be comfortable using your voice and judgment while approaching the work with humility, intellectual honesty, and a deep respect for technical nuance. In This Role, You Will Serve as the narrative DRI for system cards and related transparency artifacts from initiation through publication. Partner with the Safety Programs team, researchers, evaluators, red-teamers, policy experts, legal teams, communications partners, and launch teams to translate technical findings into public-facing materials. Write clear, precise explanations of highly technical safety topics for external audiences without sacrificing rig
Android Engineer, ChatGPT Engineering
About the Team The ChatGPT organization at OpenAI supports our mission by innovating across multiple core domains — from Growth and Personalization to Search Infrastructure and beyond. We’re scaling teams that build experiences, tools, and systems that power ChatGPT on every platform where users engage. About the Role We’re hiring an Android Software Engineer to lead development of new Android experiences for ChatGPT. In this role, you will: - Design and develop new features and capabilities for ChatGPT’s Android app. - Establish strong engineering standards for performance, reliability, and code quality. - Collaborate with cross-functional partners to craft experiences that resonate with users. - Shape technical decisions and define long-term architecture for mobile platforms. - Mentor and influence peers through code reviews and shared ownership. You might thrive in this role if you: - You have strong expertise in Android (Kotlin/Java), modern architecture patterns, and Jetpack. - You’re passionate about mobile UX and system performance. - You enjoy working in dynamic, cross-functional environments. We are open to hiring in San Fransisco, New York and Seattle. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff+ Software Engineer, Experimentation
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads. Responsibilities - Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more - Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others - Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams - Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact - Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads You may be a good fit if you: - Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment - Have strong proficiency in Python, Rust and/or Go - Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes - Have experience with container orchestration and infrastructure at scale - Have excellent communication skills and enjoy supporting internal partners to improve their development experience - Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: - Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure - Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead - Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house)</li&g
Strategic Partner Development, Product Partnership...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a Product Partnerships specialist who has worked inside the security industry to support Anthropic's product partnership strategy across SIEM/SOAR, EDR, identity, cloud security, GRC, and the AI-native security startup ecosystem. You'll collaborate with category leaders, stand-up scaled partner programs, and cultivate a managed community of security startups. This is not a Sales role. You'll work with our product, research, engineering and GTM teams to build a platform strategy, source the partners, and shape what we build together. What you'll do - Research and build critical strategic partnerships. Research, source, structure, and close strategic collaborations across the security ecosystem — working closely with internal teams to shape what we pursue and why. - Be the domain expert. Serve as Anthropic's internal voice on security partnerships — helping research, product, and Anthropic leadership understand the landscape, evaluate opportunities, and make good calls. - Prioritize the ecosystem. Map the sector and sequence the highest-impact organizations to engage. Build a pipeline with a clear point of view on where to focus and where to say no. - Navigate complex organizations. Drive partnerships through R&D, IT, legal, compliance, and procurement — with a realistic view of how these deals actually get done. - Enable integrations where relevant. Where partnerships include product or platform integrations, work with partner engineering teams and hold the quality bar. - Coordinate cross-functionally. Work across research, product, engineering, policy, and legal to structure partnerships that are compliant, deliverable, and valuable. What we're looking for Non-negotiable: - Minimum 10 years of experience inside the security industry — partnerships, BD, alliances, product partnerships, or comparable. This is the single most important requirement. We need someone who can operate independently in the security ecosystem from day one, not learn it on the job. - Deep ecosystem familiarity across SIEM/SOAR, EDR/XDR, identity, cloud/workload security, GRC, or AI-native security startups. - Track record landing complex, multi-stakeholder partnerships — integration deals, ecosystem programs, or major vendor partnerships in security specifically. - Entrepreneurial operating style. - Technical fluency in security workflows and AI/ML — enough to engage credibly with CISOs, security architects, and product leaders. - Fluency in the regulatory and compliance environment that shapes enterprise security buying (SOC 2, FedRAMP, ISO 27001, sector
Researcher, Misalignment Research
ABOUT THE TEAM Safety Systems sits at the forefront of OpenAI’s mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm. The work of this research taskforce spans four pillars: 1. Worst‑Case Demonstrations – Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong. We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being. 2. Adversarial & Frontier Safety Evaluations – Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks. Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas. 3. System‑Level Stress Testing – Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve. 4. Alignment Stress‑Testing Research – Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress. About the Role We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail—and how to fix them. Your insights will directly influence OpenAI’s product launches and long‑term safety roadmap. IN THIS ROLE, YOU WILL - Design and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above. - Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI. - Create automated tools and infrastructure to scale automated red‑teaming and stress testing. - Conduct research on failure modes of alignment techniques and propose improvements. - Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk. - Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes. - Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter. - Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields. - Possess a strong research track record—publications, open‑source projects, or high‑impact internal work—demonstrating creativity in uncovering and exploiting system weaknesses. - Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure. - Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations. - Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy. - Hold a Ph.D., master’s degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push t
Simulation Applications Engineer
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are hiring a Sim Application Engineer to turn simulation systems into reliable, automated, production-quality pipelines that power model training, evaluation, and hardware-in-the-loop validation. This role owns the automation, orchestration, and tool integration that apply simulation to concrete robotics tasks: building CI/CD for SIL/HIL, presubmit checks, automatic model evaluation, metric computation and reporting, and the runtime infrastructure to run simulations at scale. You will collaborate closely with Sim Realism, Sim Environments, Research, and Ops to make simulation an integrated, reproducible, and measurable part of our ML and robotics workflows. This role is based in San Francisco, CA, and requires in-person 4 days a week. In this role, you will: - Build and maintain presubmit checks, continuous integration and deployment pipelines for simulation code, environments, and tasks so simulation artifacts are testable, versioned, and reproducible. - Implement end-to-end automation to run model evaluation in sim (SIL) and orchestrate HIL runs; compute realism and task metrics, generate dashboards and alerts, and ensure evaluation is repeatable and auditable. - Create robust APIs and connectors so research, training, and data-collection systems can schedule, seed, and evaluate batches of simulations; support RL rollouts, imitation-data collection, and presubmit model checks. - Build scheduling, batching and orchestration for running very large numbers of concurrent rollouts (target tens of thousands of rollouts / large RL workloads), solve engine-level scaling (parallelization, batching multiple runs per engine), and optimize cloud/GPU runtime reliability. - Produce metrics and tooling for measuring simulation health, throughput, fidelity regressions, and cost; create presubmit / canary tests that catch sim regressions early. - Implement artifact versioning, environment immutability (images / asset versions), experiment provenance, and policies for resource quotas and cost control across the sim farm. - Work closely with Sim Environments, Sim Realism, research, and ops to close the loop—ensuring simulation improvements directly translate into better model evaluation and training results. You might thrive in this role if you: - Have deep software engineering & infra experience: you’ve built CI/CD at scale, authored reliable pipelines, and shipped production services that coordinate many moving parts. - Are comfortable with distributed compute and cloud GPU workloads: you know how to get many sims running concurrently (scheduling, batching, GPU orchestration) and optimize throughput/cost. - Have built or maintained HIL/SIL workflows or other sim↔hardware integrations and understand the operational challenges of bridging software and hardware testbeds. - Are strong with automation, observability and metrics: you enjoy instrumenting systems, defining meaningful KPIs, and surfacing regressions early. - Can design APIs and developer ergonomics so research and SWE teams can easily submit jobs, reproduce experiments, and interpret results. - Have experience with Python/C++/Rust, container orchestration (Kubernetes), distributed task queues, and CI systems; bonus if you’ve worked with RL tooling, task generators, or large-scale data pipelines. - Enjoy collaborating across teams to turn experimental simulation work into dependable production tooling. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. W
Software Engineer, Financial Engineering
About the team The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released groundbreaking products such as ChatGPT, Plugins, DALL·E, and APIs for GPT-4, GPT-3, embeddings, and fine-tuning. Our team also manages large-scale inference infrastructure. With much more on the horizon, our impact continues to grow. Our customers create fast-growing businesses using our APIs, enabling product features previously unimaginable. ChatGPT exemplifies the current scope of possibilities. We prioritize the responsible use of our powerful tools, valuing safe deployment over unchecked expansion. Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers' varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements. We seek an experienced engineer to architect and refine our billing systems, enhancing their functionality to meet the demands of our increasingly complex and expansive product offerings. In this role, you will: - Architect and build the next generation of billing and monetization systems at OpenAI. - Develop across the stack to create comprehensive billing integrations for our range of ChatGPT and API users. - Design a versatile billing platform suitable for both subscription and usage-based offerings, ensuring scalability and enterprise readiness/flexibility. - Construct and integrate tools that empower internal teams to seamlessly incorporate billing data into their workflows. - Collaborate closely with a wide array of stakeholders, including the Product, Data, Finance, and Go-To-Market teams, as well as fellow engineers. You might thrive in this role if you: - Possess a minimum of 5 years of professional software engineering experience, with added experience in payments, billing, or monetization seen as a bonus. - Enjoy engaging with various partners, particularly those outside of engineering. - Have a keen and innate desire to learn and acquire new skills, coupled with a strong ability to impart that knowledge clearly and succinctly to others. - Bring significant experience in developing (and redeveloping) production systems to launch new product capabilities and to handle scaling challenges. - Are deeply invested in creating an exceptional user experience, taking pride in crafting products that address customer needs. - Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines. OpenAI US Applicant Privacy Policy https://cdn.openai.com/policies/u-s-employee-and-contractor-privacy-policy.pdf We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. . About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or convicti
Technical Threat Investigator, Threat Intel Engine...
About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations. About the Role As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations. This is a deeply investigative role. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company. You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time. In this role, you will: - Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem. - Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity. - Leverage internal telemetry, OSINT, vendor data, and in-house safety systems to produce high-confidence findings on adversarial use of our models in cyber operations, platform abuse, and threats targeting OpenAI. - Translate investigative findings into concrete improvements across detection, enforcement, intel, and safety pipelines. - Build tooling, scripts, automations, and agentic workflows that scale investigative throughput and reduce manual effort. - Prototype solutions in ambiguous and emerging problem spaces, including new product surfaces, novel attacker behaviors, and areas where existing coverage may be limited. - Partner closely with teams across Security, Safety Systems, Product Policy, and Integrity to operationalize findings and drive meaningful outcomes. - Produce clear, high-signal written outputs and recommendations that inform decision-making across technical and executive stakeholders. You might thrive in this role if you have: - Experience in threat intelligence, incident response, offensive security, or a closely related field. - Solid experience investigating sophisticated threat actors, including model misuse, platform abuse, or other adversarial activity in complex environments. - A strong understanding of adversary behavior, infrastructure, and tradecraft, and the ability to apply that understanding to proactive investigations. - Demonstrated ability to independently drive deep technical investigations from ambiguous signals through to clear, actionable findings. - Experience using AI to extend or accelerate investigative workflows. - Strong scripting ability and comfort building lightweight automation, investigative tooling, or workflows that improve scale and repeatability. - Strong ability to leverage telemetry from diverse systems and vendors to drive investigations, including directly querying, extracting, and stitching together data where needed. - Strong written and verbal communication skills, especially the ability to translate technical investigations into high-signal output
TL, Research Inference
ABOUT THE TEAM The Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained. ABOUT THE ROLE In this role, you will build the systems that enable advanced AI models to run efficiently at scale. You will operate at the intersection of model research and systems engineering, translating new architectural ideas into high-performance inference systems that surface real tradeoffs in performance, memory, and scalability. Your work will directly influence how models are designed, evaluated, and iterated on across the research organization. By developing and evolving high-performance inference infrastructure, you will enable researchers to explore new ideas with a clear understanding of their computational and systems implications. This is not a product-serving role. Instead, it is a research-enabling systems role focused on performance, correctness, and realism - ensuring that AI research is grounded in what can actually scale. IN THIS ROLE, YOU WILL: - Design and build high-performance inference runtimes for large-scale AI models, with a focus on efficiency, reliability, and scalability. - Own and optimize core execution paths, including model execution, memory management, batching, and scheduling. - Develop and improve distributed inference across multiple GPUs, including parallelism strategies, communication patterns, and runtime coordination. - Implement and optimize inference-critical operators and kernels informed by real-world workloads. - Partner closely with research teams to ensure new model architectures are supported accurately and efficiently in inference systems. - Diagnose and resolve performance bottlenecks through profiling, benchmarking, and low-level debugging. - Contribute to observability, correctness, and reliability of large-scale AI systems. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience building production inference systems, not just training or running models. - Are comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs. - Have worked on multi-GPU or distributed systems involving batching, scheduling, or runtime coordination. - Can reason end-to-end about inference pipelines, from request handling through execution and output streaming. - Are able to understand research ideas and implement them within real system and performance constraints. - Enjoy solving hard, ambiguous systems problems that only emerge at scale. - Prefer hands-on technical ownership and execution over abstract design work. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employer
Program Manager - IT Operations
About the Team The Employee Technology & Experience (ETX) team is responsible for delivering a world-class internal technology experience that enables employees to do their best work. We support and operate the employee-facing systems that keep the company moving quickly and efficiently. ETX spans support, logistics, AV, identity, endpoints, SaaS administration, automation, enterprise tooling, and internal infrastructure operations. We partner closely with Security, Engineering, Workplace, Finance, People, and other teams to keep OpenAI’s internal technology reliable, scalable, and moving at the pace of the company. About the Role We are hiring a Program Manager to help scale how IT operates across OpenAI. This role will lead complex cross-functional programs that improve operational maturity, streamline how teams work together, and turn high-impact initiatives into durable operational capabilities. You will work across IT, Security, Engineering, Workplace, and other functions to drive alignment, remove friction, and help build the operational foundation needed to support OpenAI’s rapid growth. You’ll be responsible for: - Lead cross-functional operational programs that improve scalability, consistency, and operational maturity. - Drive operational excellence initiatives across IT Support, employee lifecycle operations, meeting room and calendaring services, onsite support, vending, and research support environments. - Build operating models, readiness plans, escalation paths, governance cadences, and success metrics for complex operational programs. - Partner with technical teams to ensure new deployments, infrastructure investments, and internal platforms are operationally ready and sustainably supported at scale. - Drive high-priority operational programs supporting company growth, including infrastructure expansion, operational integrations, and other emerging initiatives. - Improve operational visibility, stakeholder alignment, and coordination across long-running cross-functional initiatives. - Create clarity across complex operational programs by establishing clear ownership, execution plans, operational accountability, and durable follow-through. - Own intake, prioritization, coordination, and completion of operational work originating from cross-functional teams and stakeholders. We’re looking for someone with: - 10+ years of program management experience leading complex cross-functional initiatives in high-growth, fast-moving environments. - Experience building and scaling operational processes, service models, and operating frameworks across technical and operational teams. - A strong track record improving internal operations, workplace technology, support environments, or other large-scale service-oriented programs. - Excellent judgment and execution skills, with the ability to drive prioritization, alignment, and sustained momentum across multiple teams and competing demands. - Strong communication and stakeholder management skills, with the ability to operate effectively with both technical and non-technical partners. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.op
Director, Infrastructure & Energy Accounting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Director, Infrastructure & Energy Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases, power purchase agreements, and related structures underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), power purchase agreements and energy contracts (including those containing embedded derivatives under ASC 815), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities - Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure and energy arrangements, leading classification, measurement, and subsequent accounting judgments - Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts - Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities - Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives - Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready - Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made - Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on - Serve as a key point of contact with external auditors on technical accounting matters within your portfolio - Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters - Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work You may be a good fit if you - Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role - Hold a Bachelor's degree in Accounting or Finance; CPA required - Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied
Full Stack Software Engineer, Cybersecurity Produc...
About the Team The Cybersecurity Products team builds products at the frontier of AI and cybersecurity. Our work includes Codex Security and related cyber products that turn advances in model capability into dependable tools for defenders. We help teams find, validate, and remediate vulnerabilities, continuously improve the security of software, and test AI-powered applications before they reach production. About the Role As a Full Stack Software Engineer, you will build the product experiences and systems that make AI-powered security useful in real engineering environments. You will work across web surfaces, APIs, orchestration, data models, and integrations to help security and engineering teams move from a codebase or application to evidence-backed findings, prioritized remediation, and revalidation. You will collaborate closely with product engineers, security researchers, and customer-facing teams. The work spans fast-moving product development and hard systems problems: long-running workflows, large repositories, sensitive data, reliability, observability, and a high bar for earning user trust. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build end-to-end workflows for vulnerability discovery, security scanning, red teaming, findings review, remediation, and reruns. - Design and operate backend services for long-running security work, including APIs, asynchronous orchestration, durable state, and integrations with developer workflows. - Make complex security results actionable through clear product surfaces, strong evidence, thoughtful prioritization, and reliable reporting. - Partner with security researchers, product teams, and users to evaluate quality, reduce noise, improve coverage, and ship safely. You might thrive in this role if you: - Have experience shipping production full-stack products across modern web frontends and backend services. - Can design clear APIs and data models, reason about asynchronous systems, and diagnose reliability or performance problems. - Care about building products that experts trust while making sophisticated workflows usable for a broader set of engineers. - Bring strong judgment around privacy, security, and correctness. Application-security or cybersecurity experience is helpful, but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of emplo
Member of Technical Staff (Backend/Infrastructure...
Perplexity is looking for an Infrastructure Engineer to join our small team revolutionizing the way people search and interact with the internet. Your passion and diligence will be critical to ensure a high quality product. This role blends infrastructure expertise with software engineering -- you'll own core systems that power our products and development workflows. Responsibilities - Build and maintain robust, scalable infrastructure to support high-performance search systems - Develop internal tools and automation to streamline developer workflows and operational efficiency - Design, deploy, and operate cloud-native systems, primarily on AWS - Improve and support CI/CD pipelines, testing infrastructure, and release processes - Debug and optimize Linux systems, containers, and backend services - Contribute directly to product codebases, working across Python, Go, and other systems languages Requirements - Strong background in cloud infrastructure (AWS preferred), systems design, and automation - Deep understanding of Linux internals, performance tuning, and debugging - Experience building or maintaining CI/CD systems and tooling - Strong Python skills and fluency in at least one systems language (Go, Rust, C/C++, or Java) - Comfort working across both infrastructure and application-level code - A proactive learner who thrives in a fast-paced, innovative environment
Account Director, Mid-Market
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role This role is part of our APAC Mid-Market team which will own both named account pursuits and executing programmatic sales via OpenAI partners. You’ll be a key driver of writing the playbook for Mid-Market in APAC as an AI Native Sales team. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Singapore. In this role, you'll: - Manage a portfolio of accounts, developing and executing strategies for a comprehensive regional go to market plan. - Win lighthouse accounts through outbound sales outreach. - Partner with solutions and research engineering to build and execute complex customer programs and projects. - Own a consumption revenue target. - Manage consumption revenue forecasts. - Support the recruitment and onboarding of other teammates. - Support the development of company culture. We're seeking someone with experience including: - 7+ years of direct selling experience in Data and AI or Cloud. - Designing and executing complex go to market strategies. - Orchestrating programmatic sales motions with partners. - Experience operating in fast paced, high growth environments. - Working directly with c-level executives. - Leading high-visibility customer events (CAB, conferences, product launches, etc.). - Hands on experience with AI tools. You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected charact
Safeguards Enforcement Analyst, Fraud & Scams
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be standing up fraud & scams enforcement as a program: today this work is handled reactively and in fragments — payment fraud, promotional abuse, and scam-pattern enforcement don't yet have a single owner. You'll be that owner: defining the policy area, building the detection-to-enforcement pipeline, and setting the operating model that a contractor bench can execute against. The surface area is broad: payment fraud (stolen cards, chargebacks, disputes), promotional and credits abuse, and the use of accounts to run scams against third parties. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities - Define the fraud & scams policy taxonomy and how cases are classified, prioritized, and escalated - Investigate and dismantle organized abuse rings, converting findings into durable controls - Stand up proactive fraud detection and customer-facing communication flows for fraudulent organization cases - Build the dispute and chargeback strategy in partnership with payments and card-network partners - Quantify fraud losses and control efficacy to drive investment decisions - Author the contractor playbook for fraud review and own QA of scaled output - Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Minimum qualifications - Deep payment-fraud experience at a fintech, marketplace, or platform — chargebacks, disputes, card-testing, promotional abuse - Experience building or significantly scaling a fraud program from an early state, not just operating a mature one - A working command of payment-network and dispute mechanics, sufficient to make strategy calls on them - Comfort being the sole owner of an area: prioritizing ruthlessly, shipping iteratively, and asking for help precisely - Comfort using data (SQL or similar tools) to quantify fraud losses and control efficacy - Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders - Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications - Experience working directly with payment service providers and card networks on fraud strategy - Experience with scam typologies beyond payments — social engineering, impersonation, platform-mediated scams - Experience managing vendor relationships in the fraud/risk detection space - A deep interest in AI safety and responsible technology development <li&g
Field Security Specialist (Cyber Security Solution...
About the Team The Solutions Engineering team is made up of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, and Security to translate frontier AI capabilities into practical workflows that create real-world impact. Cybersecurity is one of the most urgent areas where AI can help. As frontier models become more capable at reasoning over code, logs, infrastructure, and security evidence, organizations need guidance on how to evaluate, validate, and deploy these systems safely. Our goal is to help customers move from identifying risks to implementing solutions. About the Role We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI. We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Enterprise Sales, Security, and Product teams. We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases. This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design. You’ll help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection engineering, and security validation. You will be the field’s cyber expert: shaping discovery, demos, pilots, reference architectures, implementation guidance, and repeatable assets that help customers adopt AI safely in high-stakes security environments. In this role, you will: - Lead cyber workflow discovery with customers across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, and GRC automation. - Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows. - Scope pilots with clear success criteria, data requirements, integrations, evaluation methods, safety boundaries, and human approval points. - Advise customers on safe implementation patterns, including tool/function calling, structured outputs, sandboxing, data handling, guardrails, auditability, and approval-gated side effects. - Translate between executive buyers and hands-on security practitioners, helping each audience understand value, risk, and practical next steps. - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. - Bring recurring customer requirements, product gaps, blockers, and high-value cyber workflows back to Product, Engineering, Security, and GTM teams. You might thrive in this role if you: - Have deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft. - Have worked in a customer-facing, advisory, consulting, solutions engineering, security architecture, or technical field role. - Can build credible demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. - Understand how to design AI workflows with
Technical Program Manager, Support Delivery
About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a Technical Program Manager to join our Senior Support Engineering team. This role is an exciting opportunity to help define and implement foundational support practices that will scale with OpenAI’s growth. You will lead efforts to establish new operational frameworks, driving process alignment with various internal teams, and leading tooling and automation projects. This position offers the chance to make a significant impact in shaping customer experience while collaborating across multiple teams. We’re looking for people who thrive at the intersection of project management, systems building, data science/data engineering/software engineering, team enablement, and customer advocacy – and enjoy working cross-functionally in a fast-paced, evolving environment. This role is based in San Francisco, CA, and follows a hybrid work model of 3 days in-office per week. Relocation assistance is available. In this role, you will: - Lead support delivery programs for Tier 3 frontline delivery for our most strategic customers, including productivity and workflow improvements, team operations, and knowledge management for the Support Delivery team - Partner with Support Delivery and cross-functional leadership to define the experience, stand up the program, manage pilots and rollout, and ensure premium operations and playbooks stay healthy over time - Lead strategy and program design for internal support initiatives, including specialization programs, quality initiatives, community support, product reliability and launch supportability - Coordinate requirements, implementation, and ongoing iteration with internal build owners and systems partners - Lead projects to identify, implement, and scale tools and automation that improve customer support efficiency and effectiveness - Identify and scale practical AI-powered workflows across support operations, using automation, LLMs, and internal tooling to reduce manual work, improve resolution quality, and help the team operate more effectively at scale - Collaborate across teams to identify opportunities for improvement, reduce friction, and enhance overall customer satisfaction - Help shape the vision and strategy of a new team, contributing to its long-term success and influence across the organization You might thrive in this role if you: - Have 8+ years of experience in program management, operations, or support engineering, with a focus on building scalable processes and tooling - Have shipped or maintained tools and automations (dashboards, ETL pipelines, low-code apps) that eliminated manual work and scaled beyond a single team - Treat ChatGPT & LLMs as default co-developers, rapidly turning natural-language ideas into working code or queries - Deeply enjoy working cross-functionally and are skilled at building relationships with Product, Engineering, and Operations teams - Excel in a dynamic, high-impact team environment where you can create structure and make meaningful contributions - Are passionate about using tools and automation to drive efficiency and improve customer outcomes - Possess exceptional communication, organization, and problem-solving skills - Have a high ownership mindset with a bias toward action; comfortable operating in ambiguity, driving clarity, and rolling up their sleeves to get things done About
Researcher, Alignment
About the Team The Alignment team at OpenAI is dedicated to ensuring that our AI systems are safe, trustworthy, and consistently aligned with human values, even as they scale in complexity and capability. Our work is at the cutting edge of AI research, focusing on developing methodologies that enable AI to robustly follow human intent across a wide range of scenarios, including those that are adversarial or high-stakes. We concentrate on the most pressing challenges, ensuring our work addresses areas where AI could have the most significant consequences. By focusing on risks that we can quantify and where our efforts can make a tangible difference, we aim to ensure that our models are ready for the complex, real-world environments in which they will be deployed. The two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing mechanisms and interfaces that enable humans to both express their intent and to effectively supervise and control AIs, even in highly complex situations. About the Role As a Research Engineer / Research Scientist on the Alignment team, you will be at the forefront of ensuring that our AI systems consistently follow human intent, even in complex and unpredictable scenarios. Your role will involve designing and implementing scalable solutions that ensure the alignment of AI as their capabilities grow and that integrate human oversight into AI decision-making. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: We are seeking research engineers and research scientists to help design and implement experiments for alignment research. Responsibilities may include: - Develop and evaluate alignment capabilities that are subjective, context-dependent, and hard to measure. - Design evaluations to reliably measure risks and alignment with human intent and values. - Build tools and evaluations to study and test model robustness in different situations. - Design experiments to understand laws for how alignment scales as a function of compute, data, lengths of context and action, as well as resources of adversaries. - Design and evaluate new Human-AI-interaction paradigms and scalable oversight methods that redefine how humans interact with, understand, and supervise our models. - Train model to be calibrated on correctness and risk. - Designing novel approaches for using AI in alignment research You might thrive in this role if you: - Are a team player – willing to do a variety of tasks that move the team forward. - Have a PhD or equivalent experience in research in computer science, computational science, data science, cognitive science, or similar fields. - Have strong engineering skills, particularly in designing and optimizing large-scale machine learning systems(e.g., PyTorch). - Have a deep understanding of the science behind alignment algorithms and techniques. - Can develop data visualization or data collection interfaces (e.g., TypeScript, Python). - Enjoy fast-paced, collaborative, and cutting-edge research environments. - Want to focus on developing AI models that are trustworthy, safe, and reliable, especially in high-stakes scenarios. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of
Data Scientist, Policy
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As one of our first Data Scientists dedicated to policy work, you will play a key role in ensuring Anthropic's work is understood by policymakers around the world. You'll sit at the intersection of data science and public affairs, transforming internal product usage and survey data into clear, accurate, and consistent evidence the Policy team can use to inform its positions, demonstrate Anthropic’s relevance to policymakers, and measure the impact of its work. Your analyses will directly inform how legislators, regulators, and the public understand Anthropic's footprint and contribution. This is a highly cross-functional role that is foundational to Anthropic's mission of bringing powerful AI to the world in a way that benefits humanity. Key responsibilities - Partner with product and business teams across the company to produce supporting analyses and data collateral for specific policy position papers and partnership conversations - Determine which metrics faithfully represent our company to legislators, regulators, and the public - Own the dashboards and pipelines that keep externally-shared numbers consistent, so the Policy team can move quickly without creating discrepancies - Use AI tools to aggregate news, policy developments, and other public data sources to track trends and provide a clear picture of the evolving regulatory landscape - Develop measurement frameworks for policy communications, paid media, and public-affairs campaigns - Design and implement policy analyses to support internal position development or measure the impact of policy implementation for external audiences Minimum qualifications - Proficiency in Python, SQL, and data analysis tools, with experience working with external and public data sources - Experience producing analysis that reaches external audiences such as policy, communications, investor relations, public affairs, or published research - Applied causal inference using quasi-experimental designs (e.g., difference-in-differences, regression discontinuity, synthetic control, instrumental variables, or matching) to measure policy or program impact from observational data - Demonstrated ability to translate complex analyses into clear, actionable recommendations for audiences with differing levels of technical fluency Preferred qualifications - 6+ years of hands-on data science experience - Direct experience supporting a policy, government affairs, or regulatory team with data and analysis - Familiarity with investor-relations or financial-disclosure data standards and the consistency requirements they entail - Comfort operating in ambiguous, fast-moving environments where creating clarity and driving progress is part of the role - A genuine interest in Anthropic's mission of building safe and beneficial AI Deadline to apply: None. Applications will be
Member of Technical Staff (AI Software Engineer, M...
Perplexity is hiring builders to join our Multimodal AI group, an industry-leading team defining the next generation of human-AI interaction. Our team is creating experiences that move beyond the touch interface, allowing people to communicate with AI through the form factors that best meet their needs. These include through voice, images, video, or new modalities we have yet to invent. As an engineer on the Multimodal AI team, you will work across the stack to build the product experiences and platform systems that make this possible across our applications. Our stack spans immersive UIs, realtime audio processing, evaluation systems, backend infrastructure, and supporting libraries and SDKs. We’ll work with you to match your strengths and interests to the areas where you can drive the most impact, while collaborating as a team to turn ambiguous, bleeding-edge problems into reliable experiences for users. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own product and multimodal platform systems for Perplexity. - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch. - Hill climb on hard problems, continuously iterating to improve for ourselves and customers. - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. - Build systems that take into account the nuances of multimodal AI. - Work closely with client verticals to integrate new features into their stack. WHAT WE'RE LOOKING FOR - Experience building and operating production systems at a meaningful scale. - Ability to work up and down the stack, from deep systems primitives to getting the pixels and prompts just right. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of multimodal AI products and willingness to learn quickly. - Ability to think through novel problems and implement companion long-term solutions that scale. NICE TO HAVE - Background including work with realtime audio or video processing. - Experience with audio stack technologies including audio processing modules (APMs), echo cancellation, noise reduction/cancellation, automatic-gain control (AGC), etc. - Experience with immersive UIs integrating with realtime data. - Some experience or familiarity with Rust or C++ OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.
Security Software Engineer, Detection & Response P...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations. Responsibilities: - Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response - Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure - Architect solutions for storing and efficiently querying large volumes of security-relevant data - Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities - Work closely with security and infrastructure teams to understand requirements and deliver solutions - Mentor engineers and contribute to hiring and growth of the Security team - Participate in on-call shifts You may be a good fit if you: - 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines - Track record of building and maintaining internal developer tools or security platforms - Strong understanding of data processing pipelines and experience working with large-scale logging systems - Experience with: - Test-driven software development and/or CI/CD (plus for direct experience with Detection-as-code workflows) - Infrastructure-as-code (Terraform, CloudFormation) - Query optimization for large datasets - Experience with building stable and scalable services on cloud infrastructure and serverless architectures - Ability to write maintainable and secure code in Python - Experience working with security teams and translating requirements into technical solutions - Ability to lead technical projects with minimal guidance - Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship - Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics - Outstanding communication skills, translating technical concepts effectively across all organizational levels - Demonstrated success in bringing clarity and ownership to ambiguous technical problems - Strong systems thinking with ability to identify and mitigate risks in complex environments Strong candidates may also have experience with: - Experience building secu
Strategic Account Executive, Healthcare
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Strategic Account Executive (Healthcare) at Anthropic, you'll join the foundational team at the forefront of introducing our frontier AI platform to healthcare organizations. You'll drive adoption of safe, frontier AI by securing strategic deals with health systems, hospitals, and payor organizations. You'll leverage your consultative sales expertise in healthcare to grow revenue while becoming a trusted partner to healthcare stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with healthcare decision-makers. The ideal candidate has a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you'll help healthcare enterprises obtain new capabilities while advancing the ethical development of AI. Key responsibilities - Own a book of strategic, high-value accounts across health systems, hospitals, and payor organizations — driving the full sales cycle from outbound to close and navigating complex organizations to reach key clinical, administrative, and payor decision-makers - Design and execute sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes, translating market landscape and trend analysis into targeted account plans and campaigns that meet and exceed revenue targets - Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for both healthcare delivery and payor use cases - Run a disciplined pipeline and forecasting cadence, managing an evolving sales process to deliver predictable, coachable performance against quota - Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition for healthcare organizations - Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across health systems and payors Minimum qualifications - 5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organizations - A track record of managing complex, multi-stakeholder sales cycles within healthcare organizations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases - Extensive experience negotiating complex agreements within healthcare procurement frameworks, including value-based care contracts and payor policies - Proven experience exceeding revenue targets in healthcare by effectively managing an evolving pipeline and sales process - Excellent communication skills, with the ability to present co
AI Deployment Engineer, Codex | India
About the team The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies. This role is based in Bangalore. In this role, you will: - Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. - Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. - Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. - Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely. - Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex. - Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams. - Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows. - Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption. You’ll thrive in this role if you: - Have 8+ years of post-sales engineering or solutions architecture, working directly with customers. - Have 2+ years of software engineering experience and a strong understanding of the software development life cycle. - Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive. - Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process. - Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven. - Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact. - Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI. - Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers. - Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity. Abo
Full Stack Software Engineer, Codex
About the Team The Coding team is reimagining how software is built in the AI era. We build tools and workflows that help software engineers work faster, tackle more ambitious projects, and spend less time on repetitive tasks. AI has already transformed how code is written, but software engineering extends far beyond coding. Our mission is to apply AI across the entire software development lifecycle (SDLC) — from design and implementation to code review, testing, debugging, issue remediation, maintenance, documentation, and user support. The team is also responsible for developer-facing Codex experiences including the Codex IDE Extension and the terminal interface, which are used daily by developers ranging from individual open-source contributors to some of the world’s largest engineering organizations. The team also works closely with the open-source software community, building tools that help maintainers and contributors manage increasingly complex projects. We believe AI can make open-source development more sustainable by reducing the operational burden of reviewing contributions, triaging issues, maintaining quality, and supporting growing communities. By building the future of software development, we're helping advance OpenAI's mission of ensuring that the benefits of AI reach people around the world. About the Role We’re hiring a Full Stack Software Engineer to help invent the next generation of AI-powered software development workflows. “Full stack” in this role means much more than traditional frontend and backend development. You'll own complete product experiences, spanning user interfaces, workflow orchestration, agent and prompt design, backend systems, and cloud infrastructure. This is a highly product-oriented role. You'll work directly on the workflows developers use every day, identifying bottlenecks and rethinking how software gets built in a world where AI agents are active participants in the development process. The features you ship will influence how developers around the world write, review, test, and maintain software. In this role, you will: - Build end-to-end product experiences that span frontend applications, backend services, agent workflows, cloud infrastructure, and developer tooling. - Design AI-powered workflows that generalize across a wide variety of software engineering teams, languages, codebases, and development practices. - Discover and implement novel ways to apply AI to eliminate friction throughout the software development lifecycle. - Partner closely with product, design, and research to understand developer needs and rapidly translate insights into shipped product improvements. - Work directly with users — including developers at OpenAI, open-source contributors, startups, and large enterprises — to understand pain points and validate solutions. - Improve the reliability, observability, scalability, and performance of the systems and workflows you build. You might thrive in this role if you have: - Strong software engineering fundamentals and experience building production systems. - Experience with TypeScript, Rust, or a similar systems or application programming language. - Deep familiarity with modern software development tools, workflows, and engineering practices. - Experience using AI-assisted development tools and a strong intuition for their strengths, weaknesses, and emerging opportunities. - A desire to own products and features end-to-end, from conception through launch and iteration. - Strong product judgment and a bias toward learning from real user feedback. - Creativity in reframing problems, challenging assumptions, and inventing new workflows rather than simply optimizing existing ones. The ideal candidate is someone who loves building developer tools, thinks deeply about how software gets built, and is excited by the opportunity to redefine those workflows from first principles in the age of AI. About OpenAI OpenAI is an AI research and deployment company dedica
Technical Lead Manager - Training Runtime, Data(se...
ABOUT THE TEAM Training Runtime builds the distributed systems that power OpenAI's largest model training runs - most recently GPT-5.5! The Data Movement area owns the infrastructure that keeps training jobs supplied with the right data at the right time, and keeps model state moving safely and efficiently across large clusters. Our work spans machine learning systems, distributed storage, high-throughput data loading, reliability engineering, and developer experience. Success means researchers can move quickly while training runs remain fast, reproducible, debuggable, and resilient at scale. ABOUT THE ROLE We are looking for a deeply hands-on Technical Lead Manager to own datasets throughout our training infrastructure. This person will set the direction for how training jobs read data: the APIs, storage contracts, versioning model, benchmarks, debugging tools, and reliability guarantees that make data access consistent across current and future training frameworks. You will begin as the primary technical owner for dataset reads, working directly in the code while aligning researchers, training framework owners, storage teams, and infrastructure partners around a durable platform. The problem is deceptively hard at frontier scale: make enormous, heterogeneous datasets easy to consume, correct across distributed workers, observable when something goes wrong, and flexible enough to support pretraining, reinforcement learning, and multimodal training. IN THIS ROLE, YOU WILL - Design and build a unified dataset read platform for multiple current and future training frameworks. - Define dataset APIs, storage-format expectations, registration/versioning, and migration paths that make data access reproducible and maintainable. - Build reliability into the read path, including stateful iteration, caching, fast restart, recovery, and clear operational contracts. - Build terminal and web-based visualizers that let teams inspect text, multimodal, and reinforcement learning data late in the pipeline, where bugs are most visible. - Write and review production code in core data loading, service, caching, and reliability paths. - Partner with teams working on training frameworks, reinforcement learning, multimodal models, storage, runtime, and cluster infrastructure. OVER TIME The long-term goal is a team that owns fast, correct, scalable, and reliable in-cluster data movement for training: data that comes in, data that goes out, and data that moves around inside the cluster. After ramping on datasets, this role will expand to TLM ownership for broader data movement systems, including checkpoint loads/saves and snapshot transfers, while partnering closely with existing technical leads and adjacent infrastructure teams. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have built or owned dataset, data loading, storage, or distributed training infrastructure at large scale (e.g. torch.utils.data http://torch.utils.data) - Care equally about API design, debugging ergonomics, performance, and bit-level correctness. - Understand the failure modes of large distributed training jobs and know how data systems can create or prevent them. - Have experience with stateful iterators, checkpoint/restart semantics, caching, remote services, or high-throughput storage reads. - Are comfortable working across Python and lower-level systems code; Rust or C++ experience is useful but not required. - Have worked with multimodal, video, reinforcement learning, or pretraining data pipelines where small data bugs are expensive and hard to diagnose. - Can lead through code and technical judgment before a team exists, and can later manage engineers without losing the hands-on edge. - Obsess over developer experience by eliminating friction, such as manual preprocessing scripts and niche cluster-specific bugs, ensuring a reliable and efficient experience for researchers. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose ar
Product Designer, ChatGPT
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We serve a diverse audience of users who are already using ChatGPT daily in their lives and work. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. Design plays a critical role here. To succeed in our mission, it’s crucial that we make our technology intuitive and accessible. We’re hiring a product designer to create products that are easy to use, beautiful, and push the boundaries of what’s possible. As an early team member, you’ll have a huge part in shaping our product direction and design culture. About the Role In this role, you’ll collaborate closely with a small team of product designers and cross-functional partners to craft product experiences of today and tomorrow. You’ll work on the end-to-end design of new features and improvements across a range of OpenAI consumer, business, and tools products. You’ll help chart our course into the future as we evolve our technology, product, and design paradigms. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. What you’ll do in this role - Contribute to the overall design and product direction of OpenAI products - Design and ship high-quality products and improvements, from early concepts to high-fidelity prototypes and visuals - Partner closely with engineering, product management, AI research, and design peers to define both long-term strategy and short-term tactics - Engage in user research to better understand our users and refine our products - Contribute to and evolve our design system - Help establish our design culture and grow our team You might thrive in this role if you - Have 4+ years of experience shipping larger scale software products - Have a portfolio showcasing strong UX, UI, and interaction design skills, with a high bar for quality and craft - Love thinking through complex interaction design problems - Possess impactful communication and storytelling skills - Enjoy tackling ambiguous problems and shaping them into a clear vision - Get excited about being immersed in the AI research process and defining how AI-first products should look and behave About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially result
Software Engineer, Data Acquisition
Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: - Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. - Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. - Work closely with the legal team to handle any compliance or data privacy-related matters. - Develop and deploy highly scalable distributed systems capable of handling petabytes of data. - Architect and implement algorithms for data indexing and search capabilities. - Build and maintain backend services for data storage, including work with key-value databases and synchronization. - Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. - Conduct and analyze experiments on data to provide insights into system performance. Qualifications: - BS/MS/PhD in Computer Science or a related field. - 4+ years of industry experience in software development. - Experience with large web crawlers a plus - Strong expertise in large stateful distributed systems and data processing. - Proficiency in Kubernetes, and Infrastructure-as-Code concepts. - Willingness and enthusiasm for trying new approaches and technologies. - Ability to handle multiple tasks and adapt to changing priorities. - Strong communication skills, both written and verbal. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated
Policy Counsel, EMEA
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Policy Counsel to support our public policy and legal initiatives at the intersection of AI technology and regulation. As a member of our legal team, you'll work cross-functionally to navigate emerging policy challenges and help build and advocate for frameworks that promote responsible AI development. This is an exceptional opportunity to tackle novel legal and policy questions while contributing directly to the future of AI governance. Responsibilities - Support the development of AI governance frameworks that align with evolving regulations, industry best practices, and global standards Monitor and analyze emerging legislative and regulatory developments related to AI - Provide legal analysis and advice to the External Affairs team and other Public Policy stakeholders - Partner with Public Policy and technical teams in developing practical policy guidance that is informed by a deep understanding of our products - Assist in drafting policy positions and proposals and advocacy materials Minimum qualifications - Law degree and qualification to practice law in a relevant EMEA jurisdiction - Experience with policy, regulatory, or government affairs work, whether in government, at a technology company, a law firm, or a policy organization - Strong written and verbal communication skills, including the ability to make complex legal and technical concepts accessible to non-legal audiences - Strong analytical and problem-solving skills, with the ability to work through ambiguous policy questions Preferred qualifications - 6+ years of relevant legal experience - Experience working on complex technology policy issues across AI/ML policy, data privacy, copyright, or technology regulation - Familiarity with EMEA legislative and regulatory processes, including experience with EU or national-level advocacy - Experience drafting policy positions, comment letters, or regulatory submissions - Demonstrated ability to quickly understand AI concepts and translate them into policy contexts - Interest in government affairs matters and a commitment to responsible AI development - A collaborative, humble approach and the ability to work effectively across diverse teams - Comfort working in a fast-paced environment while maintaining attention to detail Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job lev
Senior Manager, Technical Accounting, Compute Infr...
About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Technical Accounting team plays a crucial role in helping OpenAI navigate complex, judgmental, and rapidly evolving accounting matters with rigor and clarity. We aim to bring both technical excellence and strong business partnership to some of the most novel accounting questions in the industry. About the Role As Senior Manager, Technical Accounting, Compute Infrastructure, you will lead the evaluation, documentation, and operationalization of complex accounting matters related to OpenAI's compute infrastructure, strategic investments, and other non-routine business activities.. This role sits at the intersection of U.S. GAAP technical accounting, infrastructure strategy, financial reporting, controls, and cross-functional execution. Key areas may include cloud compute arrangements, data center and colocation arrangements, lease accounting under ASC 842, power purchase agreements, strategic investments, consolidation evaluations under ASC 810, financial instruments, and other emerging or non-standard arrangements. This role is based in San Francisco, CA or remote. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead technical accounting analysis for complex, judgmental, and non-routine transactions under U.S. GAAP. - Evaluate accounting implications for compute infrastructure arrangements, including cloud compute, data center, colocation, lease, PPA, infrastructure procurement, and related commercial arrangements. - Partner with Controllership, Tax, Legal, FP&A, Procurement, Infrastructure, and other cross-functional teams to assess the accounting implications of new products, commercial arrangements, strategic transactions, and business initiatives. - Prepare and review technical accounting memoranda, position papers, and other auditor-ready documentation. - Translate technical accounting conclusions into operational guidance, including journal entries, close procedures, workpapers, disclosure considerations, and control requirements. - Advise on accounting areas such as ASC 842 lease accounting, ASC 810 consolidation and VIE evaluations, financial instruments, strategic investments, and financial statement presentation. - Help design scalable accounting processes, controls, policies, and documentation to support OpenAI's continued growth. You Might Thrive In This Role If You: - Enjoy solving complex accounting questions that do not have obvious answers. - Can move between technical U.S. GAAP research and practical business execution. - Are comfortable partnering with both accounting teams and non-accounting stakeholders. - Have strong judgment, clear communication, and the ability to document conclusions in a way that supports audit, reporting, and operational needs. - Are energized by building scalable accounting frameworks for new and evolving business activities. Required Qualifications: - CPA or equivalent accounting qualification. - 10+ years of progressive accounting experience. - Prior public accounting experience at the manager or senior manager level. - Strong technical accounting foundation under U.S. GAAP. - Hands-on experience preparing or reviewing technical accounting memoranda and supporting accounting conclusions with external auditors. - Experience with ASC 842 lease accounting. - Experience with complex or non-routine accounting transactions involving multiple accounting standards. - Ability to translate technical accounting conclusions into practical close, reporting, disclosure, and control requirements. - Strong cross-functional partnership skills and ability to work with Legal, Finance, Tax, Procurement, Infrastructure, and business teams. Preferred Qualifications: - Big 4 National Office, Accounting Advisory, or technical accounting consulting experience. - Experience in a technology, infra
Researcher, Alignment Oversight
ABOUT THE TEAM The Alignment Oversight team at OpenAI develops techniques for improving control, accountability, and alignment as AI systems become more capable and agentic. We combine longer-horizon research with hands-on deployment. We study long-term questions about how increasingly intelligent systems can be supervised, constrained, and corrected, while also building oversight systems that are used in practice today, both internally and externally (see our recent work on code review https://alignment.openai.com/scaling-code-verification/ and action monitoring for codex https://alignment.openai.com/auto-review/). We also study how to learn from real-world deployments: using oversight data and human interventions to train future models to be more aligned, while preserving the effectiveness and independence of the oversight systems themselves. ABOUT THE ROLE As a researcher on the Alignment team, you will design and run experiments that improve our ability to oversee increasingly capable models. You will work on hands-on model training, evaluation design, and research infrastructure, and translating promising oversight ideas into systems that can operate on real model traffic and real user workflows. This role combines longer-horizon research with shorter deployment sprints, with projects typically scoped around 3-6 month research timelines and aimed at directly improving future model behavior. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Design and implement alignment experiments focused on oversight systems for increasingly agentic AI models. - Deploy practical systems for action monitoring, red-teaming, and human-in-the-loop control. - Develop evaluations for alignment failure modes of the frontier models such as overeagerness, instruction following failures, covert actions, avoiding restrictions and scheming propensity. - Analyze deployment data to understand model failures, oversight gaps, and opportunities for training more aligned models. - Develop techniques for feeding oversight signals back into training while preserving the reliability and independence of the oversight process. - Produce externally publishable research when results advance the broader science of alignment. - Collaborate across research, product, security, safety, and engineering teams to turn alignment ideas into working systems. - Move quickly from research intuition to working experiments, prototypes, and evidence that can shape future models. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs. - Have experience with reinforcement learning, post-training, preference optimization, scalable oversight, model evaluation, or adjacent empirical ML research. - Have strong engineering execution and can turn ambiguous research ideas into reliable experiments, tools, training pipelines, and production-facing systems. - Have research intuitions for what experiments are likely to teach us something, while staying grounded in implementation details and empirical results. - Are a team player - willing to do a variety of tasks that move the team forward. - Enjoy fast-paced, collaborative research environments where priorities shift as models and evidence change. - See safety and usefulness as coupled goals. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal oppor
Data Center Design Engineer, Electrical - Industri...
About the Team: OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. This team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role: We are seeking experienced Data Center Mechanical and Electrical/Power Design Engineers with expertise in designing, operating, and maintaining large-scale data center campuses. The ideal candidate for this role will have extensive background and experience in design and managing critical equipment and facilities, design and operation of MEP (Mechanical, Electrical, Plumbing) systems, and overseeing operational activities from initial phases of Data Center build through delivery and ongoing maintenance. The ideal candidate will have a strong technical background, operational leadership experience, and a proven ability to collaborate with external vendors on critical infrastructure. This role offers the opportunity to lead transformative data center projects with high visibility and impact. If you are passionate about delivering cutting-edge infrastructure solutions, we encourage you to apply. Key Responsibilities: - Oversee building and MEP design, operation, and maintenance, including reviewing building and MEP drawings and proposals across all project phases. - Lead operational activities for large-scale data center campuses, from early design phases through delivery and daily operation. - Operate and maintain critical data center facilities and equipment, ensuring reliability and performance. - Collaborate with external vendors to select, procure, and manage critical equipment, such as generators, UPS, chillers, and CDUs. - Provide technical expertise on all aspects of data center building, equipment, and operational systems, ensuring alignment with best practices. - Ensure seamless integration of power, cooling, networking, and construction systems into overall data center design and operation. - Contribute to developing data center operational workflows from design requirements through commissioning, pilot testing, and deployment readiness. - Contribute to data center operations projects (hardware and software readiness) from planning through deployment. - Provide technical direction to teams and vendors, ensuring alignment with industry best practices and standards. - Select and manage external contractors and consultants and foster strong vendor relationships. - Oversee quality assurance and resolve risks to meet safety and operational standards. Qualifications: - 10+ years of experience in data center design, operation, and maintenance. - Proven track record of leading operational and technical activities in large-scale data centers. - Extensive expertise in MEP design, operation, and maintenance, including critical infrastructure systems. - Comprehensive knowledge of data center buildings, equipment, and operational workflows. - Deep understanding of power, cooling, networking, and construction systems. - Hands-on experience with critical equipment (generators, UPS, chillers, CDUs) and vendor management. - Proven ability to work with external vendors for equipment selection and installation and bring up - Working experience with local and governmental regulatory agencies and compliance with data center design standards and requirements - Strong communication and collaboration skills with internal teams and stakeholders. - Familiarity with building construction and architecture concepts, as well as best practices in data center design. - Bachelor’s degree in engineering or related fields; advanced degree preferred. - Professional engineering certificate and other similar certificates required Preferred Skills: - Experience in global, matrixed organ
Procurement
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenLabs is scaling fast globally - and so is the complexity behind how we buy. Our vendor base spans AI infrastructure, cloud, data providers, SaaS tooling, contractors, agencies, and global services, often with usage-based pricing, fast-changing needs, and contracts that can become expensive or messy if not managed early. Procurement is the function that helps us move quickly without creating vendor sprawl, missed renewals, unclear ownership, or surprise commitments. The outcome is simple: better commercial terms, cleaner approval paths, stronger spend visibility, and vendor processes that support scale without adding unnecessary bureaucracy. The ideal person is an AI-native commercial operator: analytical, commercially sharp, low-ego, and hands-on. They use AI tools naturally to work faster, think from first principles, and are excited by building simple systems that make complex vendor spend easier to understand, manage, and improve. REQUIREMENTS - Strong procurement, sourcing, vendor management, or commercial operations experience in a technology, SaaS, AI, cloud, infrastructure, or high-growth environment. - Strong commercial judgment across usage-based pricing, SaaS contracts, cloud/infrastructure commitments, enterprise tooling, contractors, agencies, and professional services. - AI-native working style: actively uses AI tools to improv
Data Center Architect, CSA
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do - Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions - Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction - Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports - Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems - Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements - Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities - Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards <
Amazon GTM Partnership, Startups
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a candidate to drive our startup partnerships through Amazon/AWS. You'll own this key relationship, generate revenue opportunities, and work with senior leadership across both organizations to accelerate Anthropic's AI adoption for startups through AWS's global ecosystem. In this role, you'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships. Key responsibilities - Develop and execute a GTM strategy for Anthropic's startup ecosystem initiatives through the Amazon/AWS partnership, including co-selling motions, enablement programs, and joint business plans - Build and own forecasting, pipeline development, and revenue targets for the partnership - Cultivate and maintain executive-level relationships across the AWS organization - Drive strategic planning and execution of joint marketing and sales initiatives - Design and implement scalable processes for partnership operations, including escalation management and performance reporting - Provide market intelligence and competitive insights to inform product and business strategy - Develop and execute segment-specific sales plays and enablement programs for startup audiences - Participate in annual business reviews with key stakeholders across both organizations - Identify and develop opportunities to expand the scope and impact of the partnership over time Minimum qualifications - Experience in enterprise sales, business development, or strategic partnerships, with a focus on the startup ecosystem - Demonstrated ability to build and execute co-selling or joint GTM strategies with a major cloud or technology partner <li class="font-claude-response-body whitespace-normal break-words pl-2"&g
Business Operations Partner, Transportation Progra...
About the Team The Transportation team, part of OpenAI's Real Estate & Workplace (REW) organization, supports programs that help employees move efficiently, safely, and reliably across offices and regions. The team partners closely with internal stakeholders to improve the employee transportation experience and ensure transportation considerations are incorporated into broader workplace planning. About the Role As a Business Operations Partner, Transportation Program, you will help strengthen how the Transportation team works across the company. You will focus on cross-functional coordination, stakeholder support, communication, and operational follow-through. We're looking for people who enjoy solving problems, building relationships, bringing order to ambiguity, and helping teams operate effectively. You will serve as a trusted partner to internal teams, help surface and organize feedback, connect stakeholders to the right resources, and improve visibility across transportation priorities. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build strong working relationships across REW, including Events, Design & Construction, Food, Security, Facilities, and Workplace Operations. - Partner with teams across the company to understand transportation-related needs, coordinate next steps, and ensure transportation considerations are reflected in broader workplace planning. - Represent the Transportation team in meetings, planning discussions, and cross-functional initiatives as needed. - Gather input, questions, and feedback from employees and internal partners, summarize nuanced issues clearly, and route requests to the appropriate owner, resource, or process. - Track open items and help ensure timely follow-up across stakeholders and team priorities. - Support internal team planning through trackers, documentation, notes, timelines, and action items. - Help organize recurring business rhythms, project milestones, operational priorities, and readiness activities tied to office openings, moves, or workplace changes. - Draft clear internal communications, updates, FAQs, and guidance materials that help partners understand available transportation programs, processes, and tools. - Improve internal processes that help the team stay organized, responsive, and able to support a smooth employee transportation experience as the company grows. You might thrive in this role if you: - Have 4+ years of experience in business operations, workplace operations, program coordination, employee experience, or similar roles. - Bring strong written and verbal communication skills, with the ability to summarize complex or nuanced topics clearly. - Are highly organized, detail-oriented, and able to manage multiple priorities while following through reliably. - Build trust across teams and are comfortable partnering with internal stakeholders in sensitive or nuanced situations. - Navigate ambiguity with sound judgment, curiosity, and a solutions-oriented mindset. - Have experience working in workplace, hospitality, real estate, operations, internal service environments, or cross-functional programs. - Are comfortable using project management tools, spreadsheets, and workflow systems to create clarity and momentum. - Are able to travel at minimum 1-2 times per quarter and support transportation needs across APAC, LATAM, and EMEA. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spec
Sr. Technical Sourcer
At Perplexity AI, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Technical Sourcer, you will be at the forefront of shaping the talent foundation that fuels our growth. This is not a traditional sourcing role. We are looking for a builder with strong technical grounding, a genuine passion for the craft of sourcing, and the ability to operate with creativity and precision in an environment where constant change and ambiguity is the norm. You will partner closely with recruiters, hiring managers, and engineers to identify, engage, and inspire world-class talent, helping build a team capable of solving some of the most challenging problems in AI today. Just as importantly, you will use AI to automate and augment your own workflow, treating sourcing as a system to be engineered rather than a set of manual tasks. WHAT YOU'LL DO - Research, identify, and engage engineering and technical talent across multiple disciplines and experience levels - Collaborate with recruiters and hiring teams to deeply understand technical requirements and calibrate profiles with accuracy and nuance - Use a wide range of sourcing strategies, including advanced research, talent mapping, referrals, AI-assisted automation, and creative outreach, to build strong candidate pipelines. - Build and refine your own tooling and workflows, leveraging AI to automate repetitive work and spend more of your time on high-judgment sourcing - Act as a candidate's first introduction to Perplexity AI, delivering an authentic and compelling story about our mission, product, and team culture - Track and analyze pipeline data to drive continuous optimization and improvements in sourcing approaches - Operate with agility, adapting quickly to shifting priorities, hard-to-fill roles, and changing team needs WHAT YOU BRING - A strong desire to grow a career in sourcing, with clear dedication to advancing your craft and developing deep expertise in the field - Exceptional technical literacy, comfortable navigating complex technical conversations, parsing nuanced skill sets, and understanding the architecture of software and AI roles - Proven experience sourcing talent in highly dynamic and fast-paced environments where priorities shift and ambiguity is constant - A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make sourcing faster and sharper - Creativity and resilience: the ability to design novel sourcing strategies, test new methods, and adapt quickly when faced with challenges - Excellent communication skills, with the ability to build trust and develop relationships with both candidates and internal partner teams - A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity AI's ethos of building what has never been built before
Solutions Engineer, Digital Natives
About the Team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer, you’ll help companies across industries transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the Role We are seeking an experienced pre-sales solutions engineer to partner with our Digital Native customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Sales, Customer Success, Security, and Product teams. This role is based in our Dublin office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory. - Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process. - Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning. - Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams. You’ll thrive in this role if you: - Have 5+ years of experience in a technical pre-sales role, managing C-level technical and business relationships with complex global organizations. - Have full professional fluency in English. - Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support. - Have industry experience in programming languages like Python or Javascript and working with REST APIs. - Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture. - Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders. - Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the
Technical Threat Investigator, Threat Intel Engine...
About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Threat Intelligence team protects OpenAI’s technology, people, research, and infrastructure by proactively identifying and disrupting adversaries who seek to compromise our systems or misuse our models. We investigate sophisticated threats, build tooling to scale and augment analysis, and deliver intelligence that shapes security strategy and equips leadership with timely, risk-aware insights. We combine technical depth, investigative rigor, and strong cross-functional partnerships to uncover threats and drive impact across OpenAI’s security and research organizations. About the Role As a Technical Threat Investigator at OpenAI, you will help protect the company from sophisticated adversaries targeting OpenAI and the broader ecosystem, as well as those attempting to misuse our models in support of cyber operations. This is a deeply investigative role. You will independently conduct complex, end-to-end investigations into capable threat actors to understand their behavior, infrastructure, emerging techniques, and how AI is integrated into their workflows. You’ll use these insights to proactively identify malicious activity and drive detection, disruption, enforcement, and safety improvements across the company. You’ll translate your investigative findings into durable solutions that scale impact. You’ll build and own lightweight tooling, automate where it matters, and create AI-assisted workflows to make investigations faster, more repeatable, and more effective over time. In this role, you will: - Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem. - Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity. - Leverage internal telemetry, OSINT, vendor data, and in-house safety systems to produce high-confidence findings on adversarial use of our models in cyber operations, platform abuse, and threats targeting OpenAI. - Translate investigative findings into concrete improvements across detection, enforcement, intel, and safety pipelines. - Build tooling, scripts, automations, and agentic workflows that scale investigative throughput and reduce manual effort. - Prototype solutions in ambiguous and emerging problem spaces, including new product surfaces, novel attacker behaviors, and areas where existing coverage may be limited. - Partner closely with teams across Security, Safety Systems, Product Policy, and Integrity to operationalize findings and drive meaningful outcomes. - Produce clear, high-signal written outputs and recommendations that inform decision-making across technical and executive stakeholders. You might thrive in this role if you have: - Experience in threat intelligence, incident response, offensive security, or a closely related field. - Solid experience investigating sophisticated threat actors, including model misuse, platform abuse, or other adversarial activity in complex environments. - A strong understanding of adversary behavior, infrastructure, and tradecraft, and the ability to apply that understanding to proactive investigations. - Demonstrated ability to independently drive deep technical investigations from ambiguous signals through to clear, actionable findings. - Experience using AI to extend or accelerate investigative workflows. - Strong scripting ability and comfort building lightweight automation, investigative tooling, or workflows that improve scale and repeatability. - Strong ability to leverage telemetry from diverse systems and vendors to drive investigations, including directly querying, extracting, and stitching together data where needed. - Strong written and verbal communication skills, especially the ability to translate technical investigations into high-signal output
Applied AI Architect, Partnerships
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - <p
Member of Technical Staff (Golang Engineer, Search...
Join Perplexity AI as a Search Golang Engineer and help architect the next generation of massively scalable, AI-powered search infrastructure. In this role, you’ll leverage Golang to design, implement, and operate backend systems that handle millions of queries with uncompromising reliability and efficiency. Responsibilities: - Build highly scalable, distributed backend services using Golang - Design, develop, and maintain search infrastructure that supports exponential traffic growth - Engineer cloud-native solutions, optimizing for horizontal scale and rapid failover - Implement robust monitoring, autoscaling, and incident recovery strategies - Collaborate with product, infra, and devops teams to maximize throughput and resilience - Drive improvements in CI/CD, automation, and operational excellence for backend systems - Mentor peers and champion scalable design principles across the organization Requirements - Significant experience developing scalable Golang services for production environments - Deep understanding of distributed systems, microservices, and cloud infrastructure (AWS preferred) - Proven track record implementing systems that scale to millions of users - Strong background in Linux performance tuning, monitoring, and debugging - Experience with CI/CD pipelines, containerization, and automation - Ability to proactively tackle scaling challenges—anticipating bottlenecks before they arise - Passion for building backend solutions that power real-time, reliable search
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