Data Scientist, FinEng

About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth. About the Role As Manager of Data Science for Financial Engineering, you will lead the measurement, experimentation, and optimization strategy that powers OpenAI’s monetization infrastructure. You will define how we measure and improve checkout, payments, subscriptions, and pricing systems globally—balancing conversion, risk, cost, reliability, and user experience. You will build and lead a high-leverage team responsible for establishing source-of-truth metrics, scaling experimentation, and driving executive-level revenue insights. This role is both strategic and deeply technical: you’ll shape the long-term financial data architecture while guiding day-to-day experimentation that directly impacts revenue and international scale. This role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support. In this role, you will Own the FinEng Measurement Strategy - Define the north-star revenue and monetization metrics across checkout, payments, subscriptions, and pricing. - Establish guardrails across conversion, fraud/risk, payment latency, cost-to-serve, and reliability. - Partner with Finance to ensure alignment between product metrics and financial reporting. Lead and Scale Experimentation - Build and oversee the experimentation program for in-house checkout and subscription systems. - Define staged rollouts, guardrails, and offline incrementality methods when online testing is c