The opportunity
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 partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying…
What you'll do
Own checkout & payments analytics and experimentation across methods and: locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency.
Build and run the experimentation program for in-house checkout—define: success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible.
Create operational visibility and source-of-truth data with FinEng Data: Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action.
Lead subscription, retention, and monetization analytics—ship: launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality.
+ years in a quantitative role (data science, product analytics, or: experimentation) in high-growth or fintech environments
Fluency in SQL and Python , with a track record designing and interpreting A/B tests and quasi-experiments
What they're looking for
- Experience building product metrics from scratch and operationalizing them for decision-making
- Excellent communication skills with PMs, engineers, risk/finance partners, and executives
- Strategic instincts beyond significance tests—clear thinking about tradeoffs: (conversion vs. risk vs. cost vs. user experience)
- Payments, checkout, or subscription analytics experience (PSPs, bank rails,: disputes/refunds, risk, e-commerce)
