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Director, Compute & Infrastructure FP&A

OpenAI - San Francisco, California, United States

Posted Apr 21, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Market context

Median wage (BLS OEWS)
$106,409 national median
Projected growth (BLS Employment Projections)
+7.7% - Faster than average

Matched to SOC 13-2011 - Finance aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Director, Compute & Infrastructure FP&A San Francisco, California, United States About the Role As a Director, Compute & Infrastructure FP&A, you will own and drive the monthly forecasting process for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company's largest and most complex cost center ( Compute & Infrastructure ). You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty. What You'll Do - Own compute financial planning & Forecasting. - Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments. - Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning) - Coordinate closely with Corporate FP&A on timelines and process - Present insights on a monthly basis to senior management. - Drive infrastructure investment decisions. - Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs. - Develop frameworks for investment trade-offs to guide executive decision making. - Build scalable tooling & reporting. - Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics. - Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer). - Drive forecasting accuracy & accountability. - Lead budget vs. actual

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