OpenAI - Hardware Operations Technical Program Manager
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Requirements
• 7+ years of experience in technical program management, hardware operations, manufacturing operations, infrastructure deployment, or related technical execution roles. • Experience supporting hardware systems at scale, ideally including servers, racks, networking hardware, data center infrastructure, or high-performance compute environments. • Strong understanding of hardware development and deployment lifecycle, including NPI, qualification, manufacturing ramp, logistics, installation, validation, and operational support. • Demonstrated ability to manage complex cross-functional schedules, dependencies, risks, and executive communications. • Strong technical fluency across hardware systems, rack integration, manufacturing readiness, and infrastructure deployment. • Proven ability to operate in ambiguous environments and create scalable execution mechanisms. • Excellent written and verbal communication skills, with the ability to influence technical and non-technical stakeholders. • Experience with AI infrastructure, hyperscale data centers, cloud infrastructure, or high-density compute systems is a plus. • Bachelor’s degree in engineering, computer science, operations, supply chain, or equivalent practical experience. • Experience with GPU, accelerator, server, rack, or cluster-scale infrastructure programs. • Background in hardware operations, manufacturing program management, supply chain operations, data center deployment, or technical infrastructure TPM. • Familiarity with rack integration, power/cooling constraints, cabling, networking, serviceability, and deployment readiness. • Experience building operating rhythms, readiness reviews, risk registers, launch dashboards, or executive program reviews. • Experience scaling programs from prototype/NPI into repeatable production deployment. • 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.
Responsibilities
• Drive end-to-end Hardware Operations readiness programs across AI infrastructure systems, including servers, racks, networking hardware, power and cooling interfaces, and related data center infrastructure. • Develop and operationalize scalable hardware operations processes, workflows, and support models spanning deployment, repair operations, diagnostics, break/fix, escalation management, and sustaining operations. • Lead cross-functional execution of Hardware Operations readiness initiatives, ensuring operational capabilities, tooling, documentation, staffing models, and workflows are established prior to production deployment and operational handoff. • Partner across Hardware Engineering, Manufacturing, Supply Chain, Data Center Operations, Network Operations, Deployment, Reliability Engineering, and external suppliers to ensure alignment on operational requirements, supportability, and readiness milestones. • Develop operational scorecards, reporting frameworks, and metric algorithms to measure hardware operational health, repair performance, deployment quality, readiness status, and execution efficiency. • Identify operational, technical, supplier, tooling, and process risks early; drive mitigation plans, cross-functional alignment, and executive-level communication. • Lead cross-functional issue resolution efforts during hardware deployment, validation, operational ramp, and sustaining operations, ensuring rapid containment, corrective action development, and long-term process improvement. • Create and mature operational governance models, including standardized readiness reviews, action tracking, escalation management, performance reviews, and operational business rhythms. • Ensure operational knowledge sharing and alignment across internal teams, external suppliers, and infrastructure partners to improve execution consistency, issue resolution efficiency, and operational maturity. • Have experience driving complex hardware or infrastructure programs from development through production and deployment. • Are comfortable operating across engineering, manufacturing, supply chain, deployment, and operations teams. • Can understand technical system dependencies without needing to be the deepest engineer in every domain. • Know how to create structure in ambiguous, fast-moving environments. • Are effective at driving accountability across teams and vendors without direct authority. • Can move between tactical execution details and executive-level communication. • Have strong judgment around when to escalate, when to unblock directly, and when to create a repeatable process.
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