Data Engineering Manager, Growth & Revenue

OpenAI
San Francisco
Workplace: OnsiteFull timeUSD 459,000 - 536,000 annuallyFunction: Marketing & GrowthSkills: ["People leadership","Technical judgment","Partnership building","Turning ambiguity into plans","Operational excellence"]

Lead Growth & Revenue data engineering at OpenAI, owning data strategy and execution across growth accounting, subscriptions, checkout, billing, payments, and monetization. Build durable, well-modeled data products connecting product behavior to trusted revenue measurement. Establish metric definitions and data quality standards, partner with Data Science and Product on experimentation and funnel analysis, and align with Finance to reconcile analytical revenue views to production billing systems.

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FursaFursa
OpenAI
OpenAI
1 day ago

Data Engineering Manager, Growth & Revenue

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Lead Growth & Revenue data engineering at OpenAI, owning data strategy and execution across growth accounting, subscriptions, checkout, billing, payments, and monetization. Build durable, well-modeled data products connecting product behavior to trusted revenue measurement. Establish metric definitions and data quality standards, partner with Data Science and Product on experimentation and funnel analysis, and align with Finance to reconcile analytical revenue views to production billing systems.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Marketing & Growth
Seniority: Manager level

Key Responsibilities

  • ā€¢Build, manage, and grow a high-performing team across Growth & Revenue data subject areas.
  • ā€¢Define data strategy and deliver durable, well-modeled data products connecting product behavior to subscription state, checkout events, payment outcomes, and revenue.
  • ā€¢Establish trusted metric definitions and data quality standards so leaders can make fast, consistent decisions.
  • ā€¢Partner with Data Science and Product to support experimentation, causal measurement, funnel analysis, and scalable self-serve analytics.
  • ā€¢Raise operational excellence for critical pipelines, including reliability, observability, privacy, governance, and incident response.

Pay and Benefits

Salary: USD 459,000 - 536,000 annually
Perks:Relocation

Key Requirements

  • ā€¢Deep experience leading and scaling data engineering teams in fast-moving product or technology environments.
  • ā€¢Strong technical judgment across modern data systems, including SQL, Python or Scala, Spark, orchestration, and dimensional and event modeling.
  • ā€¢Experience building trusted growth, lifecycle, attribution, subscription, billing, payments, revenue, or monetization data products at meaningful scale.
  • ā€¢Ability to turn ambiguous business questions into durable data contracts, metric definitions, and technical roadmaps.
  • ā€¢Excellent people leadership skills: hiring well, developing talent, giving clear feedback, and creating an environment for diverse perspectives.
Experience:PaymentsSubscriptionBillingRevenueGrowthMonetization
Skills:People leadershipTechnical judgmentPartnership buildingTurning ambiguity into plansOperational excellence
Tech Stack:SQLPythonScalaSparkOrchestrationDimensional modelingEvent modelingLakehouseWarehouse

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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