Business Operations Lead, Compute

About the Team

Business Operations guides some of our largest investment areas and solves mission critical business problems with a direct impact on research, product, and the success of OpenAI. This small, fast-moving team structures ambiguity, sets strategy, aligns stakeholders, drives operational execution, builds external partnerships, and ensures highly ambitious goals are achieved. 

About the Role

Compute is a key lever for OpenAI and AI progress. We need to anticipate compute needs multiple years in advance and make sure we have the right hardware and data centers in place to enable our research cost-effectively and securely. 

This Business Operations Lead will work closely with our technical leaders and external partners to map out OpenAI’s compute roadmap, and manage the supply and demand of compute resources for our industry leading AI research and products. You'll manage procurement, capacity planning, and resource optimization, while coordinating cross-functional teams to align on timelines and milestones. You'll become an expert in data centers, hardware supply chains, chip design, security, and large-scale ML training, and play a key role in enabling the compute infrastructure for the next generation of AI.

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:

• Develop and maintain OpenAI’s compute roadmap, working closely with leadership, technical experts and key external partners

• Oversee procurement processes, budgeting, and capacity planning for compute infrastructure

• Identify and mitigate risks, and proactively raise critical issues to avoid delays

• Track progress versus plans, providing visibility into blockers and milestones across projects

• Collaborate with engineering, product, research, and security teams to align compute plans with internal roadmaps 

• Synthesize recommendations, align with leadership, set ambitious but achievable goals, and own end-to-end execution

• Collaborate directly with research, product and leadership on key issues related to infrastructure

• Continuously improve OpenAI’s compute strategy as technologies and needs evolve 

You might thrive in this role if you have: 

• A strong background in capacity planning, resource optimization, and infrastructure management

• A track record of success in driving long-term technical programs that interface with technical and business stakeholders across multiple organizations or divisions

• Experience executing technical programs that require systems and engineering-level knowledge

• Strong interpersonal skills that enable you to influence without authority and build support for programs that span many teams

• Existing knowledge or are excited to become an expert in data centers, hardware supply chains, chip design, security, and large-scale machine learning

• Experience driving operational outcomes under ambitious deadlines

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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, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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