Supply Chain Manager, Industrial Compute

OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Through strategic partnerships and self-built campuses, we are scaling one of the world's fastest-growing AI infrastructure platforms.

The Supply Chain organization ensures critical infrastructure components—from compute systems and networking equipment to integrated rack solutions—are sourced, manufactured, qualified, and delivered with the speed and reliability required to support frontier AI development. We partner closely with Hardware Engineering, Manufacturing Quality Engineering, Infrastructure Delivery, Hardware Operations, Finance, and suppliers worldwide to build a resilient, scalable supply chain capable of supporting rapid infrastructure expansion.

As Industrial Compute continues to grow, Supply Chain serves as the operational bridge between engineering innovation and large-scale infrastructure deployment.

We are seeking a Supply Chain Manager to lead strategic execution across sourcing, supplier operations, manufacturing quality, and infrastructure delivery for OpenAI's AI infrastructure portfolio.

This role will oversee a multidisciplinary team responsible for strategic sourcing, manufacturing quality engineering, and technical program management while partnering closely with engineering, finance, hardware operations, and deployment teams. You will drive supplier strategy, manufacturing readiness, production planning, quality performance, and operational execution across the full hardware lifecycle.

Success requires balancing long-term supplier strategy with day-to-day execution. You'll establish scalable operating mechanisms, strengthen supplier partnerships, manage complex cross-functional programs, and ensure OpenAI can rapidly deploy AI infrastructure without compromising quality, cost, or reliability.

This is a people leadership role responsible for developing a high-performing organization while driving operational excellence across OpenAI's infrastructure supply chain.

• Lead and develop teams responsible for Strategic Sourcing, Manufacturing Quality Engineering, and Supply Chain Program Management.
• Own supplier strategy across compute, networking, storage, and infrastructure hardware.
• Establish long-term sourcing strategies that improve resilience, scalability, cost, and supplier performance.
• Partner with Hardware Engineering to ensure supply chain strategies align with future hardware roadmaps and product introductions.
• Drive manufacturing readiness, supplier quality, production ramp planning, and operational readiness across multiple hardware programs.
• Build executive operating reviews tracking supplier performance, manufacturing readiness, deployment risk, quality metrics, and supply continuity.
• Lead supplier executive relationships, contract execution, and operational governance with key manufacturing partners.
• Partner with Finance, Capacity Planning, Infrastructure Delivery, and Hardware Operations to align hardware availability with deployment schedules.
• Develop scalable operational processes supporting rapid infrastructure expansion across multiple regions.
• Drive continuous improvement across sourcing operations, manufacturing quality, supplier performance, and infrastructure delivery execution.

• Bachelor's degree in Engineering, Supply Chain, Operations, Business, or equivalent practical experience.
• 10+ years of experience leading technical supply chain, sourcing, manufacturing operations, or infrastructure delivery organizations.
• Experience managing multidisciplinary technical teams.
• Experience developing supplier strategies for complex hardware or infrastructure products.
• Strong executive communication and cross-functional leadership experience.
• Experience leading global supplier relationships and contract execution.

• Experience supporting hyperscale infrastructure, cloud platforms, or AI hardware deployments.
• Background in servers, networking, storage, accelerators, or large-scale infrastructure hardware.
• Experience with ODM/JDM manufacturing models.
• Knowledge of manufacturing quality systems and supplier quality engineering.
• Experience managing new product introduction (NPI) and production ramp programs.
• Familiarity with hardware lifecycle management from design through deployment.
• Experience supporting rapidly scaling infrastructure organizations.

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 we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement .

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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