OpenAI

Strategic Compute Capacity Planning Lead

OpenAI$130K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in strategic planning, finance, or operations within technology sectors.
  • Proven ability to evaluate infrastructure investments through ROI and cost utilization metrics.
  • Strong understanding of GPU, CPU, and storage infrastructure.
  • Experience developing decision-making frameworks for resource allocation.
  • Ability to communicate complex tradeoffs to technical and business leaders.

Responsibilities

  • Build the operating model for capacity planning across various infrastructures.
  • Forecast demand for multiple workloads, including training and research.
  • Translate forecasts into clear infrastructure requirements and financial plans.
  • Develop frameworks to prioritize capacity allocation across projects.
  • Model ROI and strategic tradeoffs for infrastructure decisions.
  • Collaborate with partnerships and infrastructure teams on capacity strategies.
  • Establish regular reviews for capacity and forecast updates.

Benefits

  • Hybrid work model allowing 3 days in office weekly.
  • Relocation assistance for new employees.
Full Job Description
About the Role

As a Strategic Compute Capacity Planning Lead, you will build and lead OpenAI's capacity planning, allocation, and forecasting function across GPU and non-GPU infrastructure, including CPU and storage. You will translate research, product, and business demand into a disciplined capacity plan that defines what infrastructure we need, when and where we need it, how it should be allocated, and the financial and strategic tradeoffs involved.

We're looking for people who combine strategic thinking, financial judgment, and operational rigor with the ability to build new processes from the ground up. You will partner deeply across technical and business teams to create a forward-looking operating model for capacity planning and help leadership make informed infrastructure decisions.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:
  • Build the operating model for capacity planning across GPUs, CPUs, storage, and other critical infrastructure.
  • Forecast demand across training, inference, research, product, and enterprise workloads.
  • Translate demand forecasts into infrastructure requirements, including compute shapes, timing, location, vendor needs, and financial plans.
  • Develop frameworks for allocating scarce capacity across competing research, product, and business priorities.
  • Model ROI, total cost of ownership, utilization, and strategic tradeoffs for major compute and infrastructure decisions.
  • Partner with Strategic Partnerships and infrastructure teams on capacity deals, vendor strategies, and supply commitments.
  • Build scenario plans for demand spikes, supply constraints, product launches, and changes to the research roadmap.
  • Establish an executive operating cadence for capacity reviews, allocation decisions, forecast updates, and escalations.
  • Create clear visibility into supply gaps, demand risks, utilization tradeoffs, and infrastructure investment choices.
  • Move capacity planning from an ad hoc process to a rigorous, repeatable, and forward-looking strategic function.

You might thrive in this role if you:
  • Bring strong experience in strategic planning, finance, operations, infrastructure strategy, partnerships, or complex commercial deals.
  • Can translate technical requirements and uncertain demand signals into clear operating and financial plans.
  • Have experience evaluating infrastructure investments through ROI, cost, utilization, and scenario-based frameworks.
  • Are comfortable working across Research, Product, Engineering, Finance, and business teams with different priorities and planning horizons.
  • Can create decision-making frameworks for allocating scarce resources across competing needs.
  • Pair strategic judgment with a willingness to work hands-on, especially when building a new function or operating process.
  • Communicate complex tradeoffs clearly and can drive alignment with senior technical and business leaders.
  • Operate effectively in a fast-moving environment where supply, demand, and organizational priorities can change quickly.

About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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