The opportunity
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.
What you'll do
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.
What they're looking for
- 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.
