Workplace
On-site
Employment
Full-Time
Published
Jun 15, 2026
Closes
No date supplied
The role
About the Team The Premium team owns some of the highest-leverage customer-facing levers in ChatGPT’s consumer revenue business, spanning the paid customer journey: helping users understand the value of paid plans, convert with confidence, and continue finding lasting value in their subscription. Our work is highly cross-functional, partnering with Product, Data Science, Design, FinEng, Finance, Legal, Support, and Marketing to improve free-to-paid conversion, renewal, customer lifetime value, and revenue while keeping the experience trustworthy, scalable, and low-friction. In This Role, You Will: - Lead and scale an engineering team responsible for some of ChatGPT’s most important subscription and monetization experiences. - Own the technical execution for Premium customer experiences across plan merchandising, paywalls, upgrade flows, checkout UX, plan management, renewals, downgrades, and cancellation. - Partner with Product and Data Science to run high-quality experiments across upgrade, trial, renewal, downgrade, and cancellation flows. - Improve key subscription metrics including conversion, renewal, churn, ARPU, and lifetime value. - Build reliable customer-facing Premium experiences for purchase, plan management, renewal, downgrade, cancellation, and access-related states at scale. - Partner closely with FinEng and other platform teams to evolve the billing, payments, and entitlement capabilities that power Premium experiences. - Collaborate closely with Product, Design, Data Science, Finance, Legal, Support, and Marketing on monetization strategy and execution. You Might Thrive in This Role If You: - Have 5+ years of engineering management experience, - Have strong technical expertise in backend, frontend, or full-stack development, with experience building growth-oriented features. - Have a track record of improving conversion, retention, or monetization through experimentation and data-driven product engineering. - Are experienced with subscription produc
Requirements
Department: Applied AI; Team: Applied AI Engineering