OpenAI is looking to scale its Data Engineering team and evolve its data infrastructure to support key product and business areas, ensuring critical data assets are high quality, trustworthy, and ready to power future products and insights.
Requirements
- Have 10+ years of experience in data engineering, including significant leadership experience building and scaling high-performing teams.
- Have successfully built or scaled modern data platforms and pipelines in high-growth, dynamic environments.
- Are skilled at partnering across technical and non-technical teams to drive meaningful product and business outcomes.
- Are comfortable leading through ambiguity and setting technical strategy in rapidly evolving environments.
- Have strong technical expertise in one or more programming languages commonly used in data engineering (e.g., Python, Scala, Java).
Responsibilities
- Build, manage, and grow a diverse, high-performing Data Engineering team.
- Define and deliver the data strategy for major product and business domains.
- Guide data architecture and infrastructure decisions to ensure scalability, reliability, and trustworthiness.
- Partner closely with teams across Product, Engineering, Data Science, Finance, and Research to understand data needs and deliver impactful solutions.
- Develop robust, secure, and fault-tolerant systems for data ingestion, transformation, and delivery.
- Champion data quality, governance, and privacy practices that uphold OpenAI’s highest standards.
Other
- This is a hands-on leadership role with significant impact across OpenAI.
- This role is based in our San Francisco headquarters.
- We offer relocation assistance for new employees.
- 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.
- We are committed to providing reasonable accommodations to applicants with disabilities
