Description
[About the role] We are looking for a highly driven and execution-focused Product professional to own and scale the Swag Store experience. This role sits at the intersection of Product Management, Operations, and AI-driven Analytics, where you will play a key role in driving growth, optimizing user journeys, and improving operational efficiency. [Key Responsibilities] Product Management (Execution-Focused) Partner with the Product Lead to: Define and prioritise features for Swag Store Write clear PRDs and requirements, especially for ops, analytics, and tooling features Drive data-backed decisions around: Discovery, checkout, rewards, and wallet flows Experimentation (cashback %, denominations, merchandising) Ensure features are launch-ready with proper instrumentation and operational playbook. Product Operations Own day-to-day operations of Swag Store: Catalog, pricing, denominations, offers, cashback rules Campaign setup and monitoring via internal CMS/admin tools Monitor live product health: Conversion, GMV, issuance failures, payment issues, reward discrepancies Act as the primary ops owner for identifying issues and driving resolution AI-Driven Analytics & Insights Own Swag Store dashboards and key metrics (funnels, GMV, AOV, reward cost) Use AI/LLMs to: Analyze funnels and performance trends Generate insight summaries and experiment readouts Detect anomalies and sudden metric changes Turn insights into clear actions or experiments, not just reports AI, LLMs & Automation Actively use and configure LLMs for: Analytics queries and summaries Operational checks Support issue triage and root-cause analysis Build or manage AI-powered workflows / agents for: Campaign validation Offer or cashback misconfiguration detection Daily or weekly product health summaries Continuously identify manual workflows and replace them with AI-driven automation Success Metrics Improved conversion, GMV, and cashback efficiency Faster issue detection and resolution Reduced manual operational effort through automation Higher experiment velocity and quality of product decisions [Required Experience] - 2-4+ years in Product Management, Product Ops, Analytics, or Marketplace roles. - Strong hands-on experience with AI tools and LLMs (prompting, structured outputs, workflows) - Experience using data to drive product and operations decisions - Comfortable working with CMS tools, dashboards, and internal panels