OpenAI is seeking an Analytics Engineer to join their Finance Data team within the CFO Organization. This role offers a unique opportunity to build the foundation for scaling analytics across business functions in a rapidly growing AI company.
The position involves creating internal data products that drive operational efficiency and provide technical guidance on high-impact projects across Finance. As an Analytics Engineer, you'll be the subject-matter expert in financial and transactional data, supporting revenue accounting, compute & infrastructure cost accounting, and strategic finance workstreams.
The role requires a seasoned professional with 7+ years of experience who can handle the entire data stack at high transaction volume companies. You'll be working in a hybrid environment (3 days in office) in San Francisco, with competitive compensation including a $325K base salary plus equity and comprehensive benefits.
Key responsibilities include building data products, leading dimensional design, maintaining data marts, and creating executive-level dashboards. The ideal candidate should have strong SQL and Python skills, experience with distributed data stores, ETL pipelines, and visualization tools like Tableau or Looker.
This is an excellent opportunity for someone who thrives in dynamic environments, can adapt quickly to changing needs, and is comfortable navigating ambiguous requirements. While not focused on ML model training or product analytics, the role offers significant impact in shaping OpenAI's financial data architecture and analytics capabilities.
The position comes with extensive benefits including medical/dental/vision insurance, mental health support, 401(k) matching, generous parental leave (24 weeks for birth parents), and an annual learning stipend. OpenAI's mission to ensure AI benefits humanity, combined with their commitment to diversity and inclusion, makes this an exciting opportunity for someone looking to make a meaningful impact in the AI industry.