Strategic Operations, Industrial Compute

About the Team Industrial Compute is building the infrastructure ecosystem that enables OpenAI to train and deploy increasingly capable AI systems at unprecedented scale. The organization operates across compute supply, demand, infrastructure, partnerships, and the physical and commercial systems required to make large-scale compute available. Industrial Compute Strategy & Operations serves as the connective operating layer across this ecosystem. The team works directly with senior leadership across Scaling, Finance, Partnerships, Research, and Infrastructure to translate ambiguous, high-impact challenges into clear strategies, scalable operating mechanisms, and decisive execution. This team is responsible for ensuring that OpenAI’s compute strategy evolves into durable competitive advantage by identifying systemic constraints, aligning stakeholders around critical decisions, and driving the operating mechanisms required to execute at scale. About the Role We are seeking a highly experienced Strategic Operations leader to help shape and operationalize OpenAI’s compute strategy across supply, demand, infrastructure, partnerships, and commercial strategy. This is a senior individual contributor role operating at the intersection of strategy, operations, infrastructure, and executive decision-making. You will work closely with compute leadership to identify the most consequential problems facing the organization, develop structured approaches to solving them, align stakeholders across the company, and drive initiatives from ambiguous concepts through execution. The role will span both strategic and operational work. You may develop long-range compute strategies and investment frameworks, evaluate build-versus-buy decisions, shape major commercial transactions, establish organizational planning mechanisms, or take ownership of a cross-functional initiative that does not have a clear organizational home. Success in this role requires exceptional judgment, analytical rigor, executive communication, and the ability to operate effectively in highly ambiguous environments. You will be expected to independently identify what matters most, build alignment across organizations, and create the operating systems that allow Industrial Compute to move faster and make better decisions. Key Responsibilities: Shape and Drive Compute Strategy - Partner with compute leadership to define and operationalize OpenAI’s long-term compute strategy across infrastructure providers, cloud partners, suppliers, and internal organizations. - Synthesize compute requirements, supply constraints, demand forecasts, and strategic priorities to inform long-range planning and investment decisions. - Develop strategic perspectives across GPUs, CPUs, storage, networking, WAN, power, land, supply chain, and other critical infrastructure dependencies. - Evaluate build-versus-buy decisions, strategic investments, corporate development opportunities, and emerging infrastructure business models. - Develop frameworks that help leadership assess compute availability, supply risk, investment tradeoffs, and long-term strategic positioning. - Identify emerging constraints and opportunities across the compute ecosystem before they become material business or infrastructure risks. Build the Operating System for Industrial Compute - Design and operate the cross-functional planning mechanisms that connect compute supply, demand, infrastructure, partnerships, and executive decision-making. - Establish leadership operating rhythms including strategic reviews, planning cadences, initiative tracking, and executive communications. - Develop metrics, KPIs, and analytical frameworks that give leadership clear visibility into compute performance, organizational health, and emerging constraints. - Create scalable mechanisms for tracking critical initiatives, dependencies, decisions, risks, and commitments across a complex organization. - Establish governance and decision-making frameworks that improve organizational clarity, accountability, and execution speed. - Develop systems that enable Industrial Compute to operate as an integrated organization rather than as a collection of independent functions. Drive Cross-Functional Strategic Execution - Lead high-priority initiatives that span multiple organizations, functions, or infrastructure domains and require a high degree of independent judgment. - Translate loosely defined leadership priorities into structured problem statements, strategic options, execution plans, and measurable outcomes. - Establish alignment across stakeholders with different objectives, incentives, and areas of expertise. - Identify organizational bottlenecks, unresolved dependencies, and gaps in ownership, then drive them toward resolution. - Work through complex technical, financial, commercial, and operational tradeoffs to enable timely executive decisions. - Take ownership of critical initiatives that lack clear organizational h

Shape and Drive Compute Strategy: Partner with compute leadership to define and operationalize OpenAI’s long-term compute strategy across infrastructure providers, cloud partners, suppliers, and internal organizations. Synthesize compute requirements, supply constraints, demand forecasts, and strategic priorities to inform long-range planning and investment decisions. Develop strategic perspectives across GPUs, CPUs, storage, networking, WAN, power, land, supply chain, and other critical infrastructure dependencies. Evaluate build-versus-buy decisions, strategic investments, corporate development opportunities, and emerging infrastructure business models. Develop frameworks that help leadership assess compute availability, supply risk, investment tradeoffs, and long-term strategic positioning. Identify emerging constraints and opportunities across the compute ecosystem before they become material business or infrastructure risks. Build the Operating System for Industrial Compute: Design and operate the cross-functional planning mechanisms that connect compute supply, demand, infrastructure, partnerships, and executive decision-making. Establish leadership operating rhythms including strategic reviews, planning cadences, initiative tracking, and executive communications. Develop metrics, KPIs, and analytical frameworks that give leadership clear visibility into compute performance, organizational health, and emerging constraints. Create scalable mechanisms for tracking critical initiatives, dependencies, decisions, risks, and commitments across a complex organization. Establish governance and decision-making frameworks that improve organizational clarity, accountability, and execution speed. Develop systems that enable Industrial Compute to operate as an integrated organization rather than as a collection of independent functions. Drive Cross-Functional Strategic Execution: Lead high-priority initiatives that span multiple organizations, functions, or infrastructure domains and require a high degree of independent judgment. Translate loosely defined leadership priorities into structured problem statements, strategic options, execution plans, and measurable outcomes. Establish alignment across stakeholders with different objectives, incentives, and areas of expertise. Identify organizational bottlenecks, unresolved dependencies, and gaps in ownership, then drive them toward resolution. Work through complex technical, financial, commercial, and operational tradeoffs to enable timely executive decisions. Take ownership of critical initiatives that lack clear organizational home.