Data Engineering Manager, Growth & Revenue

The role

The Data Engineering Manager will lead the Growth & Revenue data engineering team. This leader will own data strategy and execution for areas including growth accounting, product partnerships, billing, payments, and revenue.

What you will do

• Build, manage, and grow a high-performing, inclusive team.
• Define the data strategy for owned data subject areas.
• Deliver durable, well-modeled data products.
• Establish trusted metric definitions and data quality standards.
• Partner with Data Science and Product teams to support experimentation and analytics.
• Partner with Finance and Financial Engineering to ensure revenue views reconcile to financial truth.
• Raise operational excellence for critical pipelines including reliability, privacy, and governance.
• Set a clear roadmap and communicate progress and risk to stakeholders.

Required qualifications

• 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.
• 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.

Benefits

• Relocation assistance for new employees

Before you apply

• Background checks for applicants will be administered in accordance with applicable law.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through their products.