Description
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 GTM Systems builds and runs the platform that Sales and contracting operate on. These are production systems that process real transactions and produce the data the rest of the company depends on, and the team has grown into a scope where the engineering practices need to grow with it. The platform-developer model got us here. The next stage is a team that operates as software engineers on top of it. We are hiring a technical lead to build that next stage. You will design and stand up the engineering motions the team runs on, from pull requests and CI/CD through automated UAT, and you will set the technical bar by working alongside the team rather than legislating from the side. Anthropic is also an unusual place to do this work: our own frontier models are part of your toolkit, the team already uses them daily, and a real part of this role is turning that individual usage into a coordinated engineering practice. Key responsibilities - Lead architecture reviews for GTM systems that process lead-to-cash transactions and generate the data points the organization runs on, including changes originating in other teams that land on our platform - Architect and mature the engineering pipeline the team develops against: pull request workflow, CI/CD, automated UAT, and the deploy path from source control to production - Establish shared AI-assisted development standards for the team, converting existing individual usage into consistent practice that holds up under review - Work with engineering teams outside GTM on shared architectural problems and common tooling, where the right answer is a platform decision rather than a local one - Build and shape the agentic tooling running on top of our platform, and set the pattern other engineers follow when they build the next one - Trace the dependency chain from upstream data and downstream quoting and provisioning systems, and make sure design decisions account for what they break - Partner with the platform developers on the team as engineering practice deepens, expanding what the team can safely ship Minimum qualifications - Have strong software engineering fundamentals: version control discipline, testing, code review, deployment automation, and a bias toward simple designs - Have built the delivery pipeline for a team, not just worked within one, and can describe the sequencing choices you made - Have led a team through a step change in engineering practice as its scope grew, including what you did when adoption slowed - Work fluently with AI coding tools and agentic development workflows, and have views on how a team should standardize around them - Can run a technical discussion across teams that do not report to you and leave it with a decision rather than a follow-up meeting - Reason about systems you do not own well enough to predict how your changes affect them <