OpenAI's Financial Engineering (FinEng) team needs to improve its checkout and payments, subscriptions, and pricing & monetization systems to ensure seamless, reliable, and efficient payment processes for its products, directly influencing revenue, customer experience, and international scaling.
Requirements
- Fluency in SQL and Python, with a track record designing and interpreting A/B tests and quasi-experiments
- Experience building product metrics from scratch and operationalizing them for decision-making
- Background in offline incrementality methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation
- Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data engineering
Responsibilities
- 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.
Other
- 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments
- 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)
- Experience with internationalization/local payments, FX, and pricing & packaging strategy
- This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
