Operations Program Manager, AI Infrastructure

OpenAI•San Francisco, CA

About The Position

We are seeking an Operations Program Manager (OPM) to serve as the single-threaded operational leader for new hardware introductions (NPI) and production ramps across OpenAI’s AI infrastructure systems. This role combines hands-on execution with strategic ownership. You will be responsible for defining the operating model, aligning cross-functional stakeholders, setting the critical path, making informed tradeoffs, escalating decisively, and ensuring hardware programs deliver on schedule, quality, cost, and scalability. Success in this role requires comfort operating in ambiguity, influencing without authority, and driving alignment across internal teams and external partners—while keeping eyes firmly on long-term system scalability and repeatability.

Requirements

8+ years of experience in Operations, Engineering, Program Management, or equivalent, within hardware development, manufacturing, or supply chain domains (compute, networking, datacenter, or similarly complex systems)
Proven track record leading complex hardware NPI programs end-to-end, from early bring-up through production ramp
Strong understanding of manufacturing and supply chain fundamentals, including BOM management, ECO/MCO processes, build readiness, factory test, quality controls, and material planning
Demonstrated ability to lead cross-functional teams, influence senior stakeholders, and drive decisions in ambiguous, time-compressed environments
Exceptional written and verbal communication skills, with the ability to distill complex issues for executive and external audiences

Nice To Haves

Experience operating in hyperscale datacenter or large-scale infrastructure environments
Familiarity with supplier engagement models, build cost drivers, and NPI scaling tradeoffs
Technical background in server, rack, and/or network hardware
Experience designing or improving operational processes, dashboards, governance forums, or execution metrics
Experience supporting PLM processes and familiarity with ERP systems

Responsibilities

Act as the single-threaded owner for operational readiness across NPI and ramp, accountable for outcomes from early bring-up through sustained production
Translate OpenAI’s infrastructure strategy and engineering objectives into clear operating plans, execution priorities, and decision frameworks
Drive alignment across Engineering, Operations, Strategic Sourcing, Finance, Capacity Planning, and Executive stakeholders by framing tradeoffs, risks, and recommendations
Proactively identify inflection points where decisions or investments are required to protect long-term scale, reliability, or cost targets
Influence operational strategy with manufacturing partners by setting expectations on execution rigor, accountability, and continuous improvement
Drive overall NPI build readiness, including material accountability, manufacturing and test readiness, product data availability, factory infrastructure, and qualification plans
Lead transition activities from NPI to mass production, partnering closely with Sustaining Operations teams to ensure seamless ownership transfer
Translate engineering requirements into actionable, factory-ready plans with tier-1 manufacturing and integration partners
Lead cross-functional build and debug cadences; ensure issues are clearly owned, aggressively driven, and formally closed with root cause and prevention
Drive factory and deployment ramp readiness, including throughput, site readiness, yield targets, quality controls, and reliability gates
Own end-to-end risk management—identification, mitigation planning, escalation, and executive-level communication
Surface systemic bottlenecks, inefficiencies, or failure modes; propose and implement durable solutions across process, tooling, and organizational interfaces
Build, formalize, and scale repeatable operating mechanisms that enable predictable, high-velocity hardware development
Define requirements for operational systems (e.g., PLM enablement), and partner with internal teams to implement, test, and operationalize them
Establish clear scopes, roles, and responsibilities across internal teams and external partners to ensure clean execution boundaries
Build strong, trust-based relationships with contract manufacturers, OEMs, and integrators—driving accountability, performance, and transparency
Support onsite factory builds and field deployments as needed (domestic and international travel)