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 constrained.

- Raise the bar on causal rigor across monetization decisions.

Build and Lead the FinEng DS Team

- Hire, mentor, and grow a team of high-impact data scientists.

- Set the technical direction for experimentation, causal inference, and monetization analytics.

- Create operating rhythms that translate insights into shipping decisions.

Drive Global Monetization Optimization

- Lead analytics for international payment method expansion, FX strategy, and pricing localization.

- Reduce involuntary churn through intelligent retry logic, targeted nudges, and payment optimization.

- Develop elasticity frameworks and pricing models that inform packaging and long-term revenue strategy.

Build Durable Data Infrastructure

- Partner with FinEng Data Engineering to create source-of-truth datasets and operational visibility.

- Establish SLIs/SLOs, alerting, and proactive monitoring across payment flows.

- Ensure analytics scales with product and geographic expansion.

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