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Data Engineering Manager, Growth & Revenue

OpenAI· Applied AI
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San Francisco$459k - $536kFull-timePosted 1mo ago

About the role

Data Engineering Manager leading the Growth & Revenue data engineering team to own data strategy and execution across growth accounting, product partnerships, checkout, billing, payments, revenue, and monetization.

Responsibilities

  • Build, manage, and grow a high-performing, inclusive team across the Growth & Revenue data subject areas.
  • Define the data strategy for all the data subject areas you own.
  • Deliver durable, well-modeled data products that connect product behavior, subscription state, checkout events, payment outcomes, and revenue.
  • Establish trusted metric definitions and data quality standards for fast, consistent decisions by product, growth, finance, and executives.
  • Partner with Data Science and Product teams to support experimentation, causal measurement, funnel analysis, and scalable self-serve analytics.
  • Partner with Finance and Financial Engineering to ensure analytical revenue views reconcile to financial truth and production billing systems.
  • Raise 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 across technical and business stakeholders.

Qualifications

  • Have deep experience leading and scaling data engineering teams in a fast-moving product or technology environment.
  • Bring strong technical judgment across modern data systems, including SQL, Python or Scala, Spark, orchestration, dimensional and event modeling, and lakehouse or warehouse architectures.
  • Have built trusted growth, lifecycle, attribution, subscription, billing, payments, revenue, or monetization data products at meaningful scale.
  • Can turn ambiguous business questions into durable data contracts, metric definitions, and technical roadmaps.
  • Build unusually strong partnerships with Data Science, Product, Finance, Financial Engineering, GTM, and Engineering.
  • Care deeply about data quality, privacy, security, and the operational health of systems used for consequential decisions.
  • Are an excellent people leader: you hire well, develop talent, give clear feedback, and create an environment where diverse perspectives do their best work.

Skills

Required:SQLPython or ScalaSparkOrchestrationData modelingStakeholder management

Benefits

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
Last updated Sep 17, 2026. Interested? Apply on the company site.

About OpenAI

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