Jobrow
Saved 0Closed

Index / OpenAI

Technical Program Manager, Research Compute Services

OpenAI

Technical Program Manager, Research Compute Services is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $207k–$285k. Sourced from the company's public Ashby board. First seen 5 hours ago; last confirmed 5 hours ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$207k–$285k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
5 hours ago
Last seen
5 hours ago
Board
Ashby
Apply

About this role

ABOUT THE TEAM Research Compute Services builds the systems that help researchers use OpenAI’s compute fleet effectively.

  • Function: Product
  • Seniority: manager

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $207k–$285k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 5 hours ago; last seen 5 hours ago. We are not the employer — apply only on the company ATS.

Posting

ABOUT THE TEAM Research Compute Services builds the systems that help researchers use OpenAI’s compute fleet effectively. We partner with Research and Compute Infrastructure to support workloads across the compute stack, including pretraining, synthetic data generation, sampling, research inference, and reinforcement learning. Our work connects changing research needs with capacity planning, allocation, and scheduling. We build tools and services that help researchers express their compute needs, access the right resources, and run their workloads effectively. As the fleet and our research ambitions grow, we continually improve how compute is planned, allocated, and used. ABOUT THE ROLE You will be part of an engineer-first TPM team, partnering closely with the Research Compute Services team. Your primary responsibility will be to build and own the tools, data, and platform that turn Research plans and workload signals into concrete compute demand and manage allocations across the fleet. This is a hands-on technical role. You will build alongside researchers and engineers, working directly with code and data to prototype solutions, automate workflows, and deliver tools that teams use every day. You will combine technical judgment and program leadership to connect capacity planning with the deployment, scheduling, and optimization systems that make allocated compute usable. You will work across a broad range of Research workloads, understanding their different requirements and ensuring those needs shape the platform. Success means researchers can express their needs, understand their allocations, and use compute effectively as priorities and workloads change. IN THIS ROLE, YOU WILL: - Build with Research. Work directly with researchers across pretraining, research inference, and other workloads. Treat these communities as core users, and translate their needs into improvements across compute services, tooling, and scheduling. - Own Research demand and allocation systems. Own the roadmap and delivery of the tools, data, and platform used to capture demand, support allocation decisions, and manage allocations. Carry this work from requirements and design through adoption and ongoing improvement. - Turn research plans into actionable demand. Develop systems that translate evolving plans and workload requirements into concrete capacity needs, including resource requirements, timing, and constraints. - Connect capacity supply and demand. Par

Other open roles at OpenAI

All open roles at OpenAI