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.

You might thrive in this role if you have

• 7+ years in data science, experimentation, or product analytics, including leadership experience

• Experience leading monetization, payments, checkout, or subscription analytics

• Deep fluency in SQL and Python, and strong causal inference instincts

• A track record of building experimentation platforms or scaling testing programs

• Experience managing or mentoring high-performing data scientists

• Strong executive communication skills and ability to influence cross-functional leaders

You could be an especially strong fit if you have

• Payments infrastructure or PSP experience (bank rails, disputes, fraud/risk systems)

• Background in offline incrementality, uplift modeling, CUPED, or counterfactual evaluation

• Experience with global payment methods, FX strategy, and pricing optimization

• Built operational analytics systems (alerting, SLIs/SLOs, monitoring)

• Partnered closely with Finance or revenue accounting teams

This becomes one of the most leverage-heavy roles in the company because it directly impacts revenue durability, international expansion, and customer experience simultaneously.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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