Strategic Finance, Compute

key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes.

Compute is central to OpenAI's roadmap and vision. We are seeking an Associate to support financial and strategic work across our compute and infrastructure portfolio.

This is a finance generalist role that includes core FP&A responsibilities as well as investment analysis, commercial decision support, and strategic planning. You will own analyses and workstreams, partner closely with technical and finance teams, and help shape decisions about how OpenAI invests in and manages compute.

In this role, you will be given direction on the objective and expected to independently structure the problem, work through incomplete information, and deliver a high-quality analysis and recommendation.

- Build and maintain financial models across different elements of compute, including GPUs, CPUs, storage, networking, data centers, and power

- Support planning, forecasting, budgeting, reporting, and variance analysis across compute and infrastructure

- Perform investment analysis and evaluate commercial decisions and strategic initiatives

- Prepare high-quality analyses, recommendations, and Exec and Board-facing presentations

- Support business partners across compute infrastructure, FP&A, and strategic finance

- Help improve the team's processes, tools, and ways of working, and identify opportunities for OpenAI to continue leading in compute

- 3+ years of experience across private/growth equity, investment banking, or strategic finance, or 3+ years in a finance operating role at a high-growth technology company

- Background in infrastructure, data centers, compute, cloud, semiconductors, or a related industry strongly preferred

- Exceptional analytical, financial modeling, and written and verbal communication skills

- Proven ability to learn quickly and succeed in unfamiliar operating environments

- Comfort independently structuring ambiguous problems and working through incomplete information

- Track record of producing high-quality work under ambitious deadlines

- Effectiveness in multidisciplinary, cross-functional environments

- Familiarity with data systems, analytical tools, and large datasets preferred but not required

- Bachelor's degree or equivalent practical experience; technical undergraduate degree preferred but not required