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Data Engineering Manager, Growth & Revenue

OpenAI

Data Engineering Manager, Growth & Revenue is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $459k–$536k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$459k–$536k
Workplace
On-site
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

ABOUT THE TEAM The Applied organization brings OpenAI’s most advanced technology to the world through products like ChatGPT and the APIs that power a growing ecosystem of developer and enterprise applications.

  • Function: Machine learning
  • Seniority: manager
  • python
  • sql
  • spark
  • scala

Location & pay

On-site · San Francisco · California · United States Listed pay on Jobrow: $459k–$536k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

ABOUT THE TEAM The Applied organization brings OpenAI’s most advanced technology to the world through products like ChatGPT and the APIs that power a growing ecosystem of developer and enterprise applications. Data Engineering builds and operates the trustworthy, secure, and reliable data systems that power decisions across OpenAI. ABOUT THE ROLE We’re looking for a Data Engineering Manager to lead the Growth & Revenue data engineering team. This leader will own the data strategy and execution for the data subject areas spanning growth accounting across all product surfaces, product partnerships, checkout, billing, payments, revenue, and monetization, helping OpenAI understand how people adopt, engage with, and pay for our products. You will partner closely with several Data Science, Business, and Engineering partners to connect product behavior to trustworthy subscriber, payment, and revenue measurement. IN THIS ROLE, YOU WILL: - 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 so product, growth, finance, and executive leaders can make fast, consistent decisions. - 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. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - 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. - C

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