Technical Program Manager, Capacity Analytics & Tooling

Technical Program Management - San Francisco

About the Team

The Compute Infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API for other OpenAI teams to run production Applied AI and Research training workloads.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

You will join the Compute Infrastructure TPM team as a Technical Program Manager for Capacity Analytics & Tooling. You will serve as the product manager for our supply and demand planning tools, owning the strategy, roadmap, and delivery of the systems teams use to forecast demand, understand supply, and plan allocations.

Your users will include Product TPMs, Capacity TPMs, and Compute TPMs, alongside partners across Finance, Accounting, Leadership, Engineering, and Research.

This role combines product managemented capacity decisions across AWS, GCP, Azure, OCI, and other infrastructure providers.

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:

• Own the product strategy and roadmap for supply and demand planning tools. Understand user needs, set priorities, define success measures, and guide delivery from initial requirements through adoption and ongoing improvement.
• Build useful planning workflows. Translate complex processes into tools for demand intake, forecasting, supply tracking, scenario analysis, and allocation planning. Help teams understand what infrastructure they need, when it will be available, and which gaps require action.
• Scale the data infrastructure behind capacity planning. Partner with engineering on ingestionation, storage, and delivery of planning data. Guide technical tradeoffs as the number of resources, providers, data sources, and users grows.
• Make planning data consistent and trustworthy. Establish shared data models and definitions for supply, demand, allocations, utilization, and cost. Drive data cleaning, validation, reconciliation, and traceability so users can understand and trust planning outputs.
• Advance forecasting and analytical capabilities. Work with engineering and data partners to connect product and research plans to infrastructure demand. Make assumptions, uncertainty, forecast accuracy, and capacity constraints visible to decision makers.
• Define and scale meaningful success metrics. Measure data qualityance, planning speed, and tool adoption. Establish consistent ways to track capacity availability, utilization, and efficiency across CPU, storage, network, and GPU resources.
• Support planning across multiple cloud providers. Build capabilities that account for differences in resource types, regions, availability, commercial commitments, and deployment constraints across AWS, GCP, Azure, OCI, and other providers.
• Lead delivery across data, infrastructure, and planning teams. Manage dependencies, technical tradeoffs, migrations, risks, and releases. Keep teams aligned on priorities and the decisions needed to move work forward.
• Drive adoption and reduce manual planning work. Develop simple workflows, documentation, training, and feedback mechanisms. Identify recurring reconciliation and reporting work that can be improved through better data and automation.
• Make capacity tradeoffs clear to leadership and partner teams. Provide useful views of gaps between supply and demand, allocation options, and their financial and operational consequences. Partner with Finance and Accounting to align planning data with budgeting and reporting needs.

You might thrive in this role if you:

• Have 5+ years of experience leading technical programs or products in data platforms, infrastructure, capacity planning, or a related field, with a record of delivering systems that teams rely on.
• Have owned an internal product or platform roadmap and translated complex operational needs into requirements, priorities, and releases that users adopt.
• Have direct experience with capacity planningance, availability, and cost affect planning decisions.
• Understand modern data infrastructureation, batch and streaming processing, and analytical storage. You have worked with technologies such as Fivetran, dbt, Spark, Kafka, or comparable systems and can discuss their architectural tradeoffs.
• Have practical experience with data modeling, data cleaning, validation, and reconciliation. You can use SQL and Python or similar tools to investigate discrepancies, validate assumptions, and prototype analyses.
• Have applied quantitative methods to forecastingance, and explain the limitations of an analysis.
• Understand the capacityance, and cost characteristics of compute, storage, networking, and accelerators. You have experience working across multiple cloud environments and can account for differences between providers.
• Can lead complex programs with many technical dependencies and align teams with different priorities. You communicate technical tradeoffs clearly to engineers, researchers, finance partners, and leaders.
• Are resourceful in ambiguous environments, exercise sound product judgment, and build simple, scalable ways to solve complex planning problems.
• Are interested in and thoughtful about the impacts of AGI.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.

We are an equal opportunity employeration, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation

$207K – $285K + Offers Equity

The base pay offered may vary depending on multiple individualized factorsance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.