Data Engineering Manager, Growth & Revenue

The Applied organization brings OpenAIs 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.

Were 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.

• 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.

• 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.

• In the first 90 days you have earned trust with the team and partners clarified ownership boundaries assessed the current data portfolio and aligned 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 that matches the domains ambition.

This role is based in our San Francisco headquarters. We offer relocation assistance for new employees.

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 OpenAIs 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 addition job duties require access to secure and protected information technology systems and related data security obligations.

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Required Experience:

Manager