Data Engineering Manager, Growth & Revenue

Details

The Applied organization brings OpenAI’s advanced technology to the world through products such as ChatGPT and APIs that power developer and enterprise applications. Data Engineering builds and operates the trustworthy, secure, and reliable data systems that support decision-making across OpenAI.

The Data Engineering Manager will lead the Growth & Revenue data engineering team and own the data strategy and execution for growth accounting, product partnerships, checkout, billing, payments, revenue, and monetization. The role partners closely with Data Science, Business, Product, Finance, Financial Engineering, GTM, and Engineering teams to connect product behavior with reliable subscriber, payment, and revenue measurement.

Responsibilities

• Build, manage, and grow a high-performing, inclusive team across Growth & Revenue data subject areas.
• Define the data strategy for the owned data subject areas.
• Deliver durable, well-modeled data products connecting product behavior, subscription state, checkout events, payment outcomes, and revenue.
• Establish trusted metric definitions and data quality standards for product, growth, finance, and executive decision-making.
• Partner with Data Science and Product teams on experimentation, causal measurement, funnel analysis, and scalable self-service analytics.
• Partner with Finance and Financial Engineering to ensure analytical revenue views reconcile with financial truth and production billing systems.
• Improve operational excellence for critical pipelines, including reliability, observability, privacy, governance, and incident response.
• Set a clear roadmap, make principled tradeoffs, and communicate progress and risk to technical and business stakeholders.

Requirements

• Deep experience leading and scaling data engineering teams in a fast-moving product or technology environment.
• Strong technical judgment across modern data systems, including SQL, Python or Scala, Spark, orchestration, dimensional and event modeling, and lakehouse or warehouse architectures.
• Experience building trusted growth, lifecycle, attribution, subscription, billing, payments, revenue, or monetization data products at meaningful scale.
• Ability to translate ambiguous business questions into durable data contracts, metric definitions, and technical roadmaps.
• Strong partnership skills across Data Science, Product, Finance, Financial Engineering, GTM, and Engineering.
• Commitment to data quality, privacy, security, and the operational health of systems used for consequential decisions.
• Excellent people leadership skills, including hiring, talent development, clear feedback, and fostering an inclusive environment.

Success Measures

• Within the first 90 days, earn trust with the team and partners, clarify ownership boundaries, assess the current data portfolio, and align on a prioritized roadmap.
• Within a year, Growth & Revenue stakeholders rely on a smaller set of trustworthy, well-owned datasets and metrics for lifecycle, attribution, subscriber, billing, payment, monetization, and revenue decisions.
• The team operates with clear goals, healthy execution rhythms, strong reliability standards, and a hiring and development plan aligned with the domain’s ambition.

Benefits

• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health and dependent care expenses, parking, and transit.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, and office closures.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Equity and performance-related bonuses for eligible employees.

This full-time role is based at OpenAI’s San Francisco headquarters. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.