{"schemaVersion":"jobsearcher.job.v1","id":"edc1d4496847cb6999f2df20","url":"https://jobsearcher.com/jobs/edc1d4496847cb6999f2df20","canonicalUrl":"https://jobsearcher.com/jobs/edc1d4496847cb6999f2df20","title":"Technical Program Manager, AI Infrastructure Capacity Planning","description":"Technical Program Management - San Francisco\n\nAbout the Team\n\nOpenAI's Industrial Compute organization builds and operates the infrastructure required to train and serve frontier AI models. The Capacity Planning team connects rapidly changing research and product demand with the compute, networking, storage, power, data center, hardware, and operational resources required to make that demand executable.\n\nAbout the Role\n\nWe are seeking a Technical Program Manager to build and lead capacity planning across OpenAI's large-scale AI infrastructure. You will translate uncertain workload demand into clear infrastructure requirements, allocation decisions, supply commitments, activation priorities, and long-range capacity strategies.\n\nThis role sits at the intersection of research, engineering, infrastructure, finance, sourcing, deployment, and operations. You will create the planning models, operating cadences, governance mechanisms, and source-of-truth systems that allow teams to understand what capacity is required, what is available, what is at risk, and what decisions must be made.\n\nThis is not a finance-only forecasting or reporting role. Success requires technical fluency across the infrastructure stack, strong analytical judgment, and the ability to move consequential decisions forward when requirements, timelines, and supply conditions change quickly.\n\nKey Responsibilities\n\nOwn capacity-planning processes across near-term workload allocation, quarterly execution, and longer-range infrastructure horizons.\n\nTranslate research, training, inference, and product demand into compute, accelerator, cluster, networking, storage, rack, power, and site requirements.\n\nDevelop scenarios that make assumptions, confidence levels, constraints, sensitivities, and decision points explicit.\n\nReconcile requested demand against contracted, delivered, installed, activated, and workload-usable capacity.\n\nPartner with research and engineering teams to understand workload priorities, technical dependencies, utilization patterns, and changing requirements.\n\nPartner with sourcing, finance, hardware, deployment, and operations teams to align supply commitments, activation schedules, costs, and delivery risks.\n\nSupport allocation and prioritization decisions when infrastructure is constrained or delivery plans change.\n\nTrack infrastructure lead times, critical dependencies, utilization, headroom, forecast accuracy, activation readiness, and capacity risk.\n\nBuild dashboards, analytical tools, executive updates, and operating cadences that create a credible source of truth.\n\nDrive mitigation plans for site delays, hardware shortages, network or storage constraints, workload changes, and other capacity risks.\n\nContinuously improve planning models, governance, data quality, and accountability as OpenAI's infrastructure scales.\n\nQualifications\n\n8+ years of experience in technical program management, infrastructure capacity planning, cloud infrastructure, supply planning, or a closely related field.\n\nDemonstrated ownership of capacity planning for large-scale distributed systemss, AI or ML workloads, or hyperscale infrastructure.\n\nAbility to translate ambiguous demand into structured assumptions, scenarios, technical resource requirements, and executable plans.\n\nTechnical fluency across compute, networking, storage, data center infrastructure, utilization, reliability, and deployment dependencies.\n\nStrong analytical skills and experience developing planning models, operational metrics, dashboards, or data-driven decision systems.\n\nExperience leading decisions across engineering, finance, sourcing, deployment, operations, and executive stakeholders.\n\nExcellent written and verbal communication, including the ability to explain uncertainty, tradeoffs, and recommendations clearly.\n\nPreferred Skills\n\nExperience planning GPU, accelerator, or AI infrastructure capacity for training or inference workloads.\n\nExperience with cluster allocation, cloud capacity, hardware supply, infrastructure procurement, site readiness, or production activation.\n\nFamiliarity with forecasting methods, scenario planning, optimization, cost attribution, capacity economics, and utilization management.\n\nExperience building planning tools or source-of-truth systems using SQLs, or similar technologies.\n\nTrack record of improving utilization, reducing infrastructure cost or risk, and enabling critical workloads during periods of constrained supply.\n\nLocation\n\nSan Francisco, California. This role requires regular in-person collaboration with infrastructure, research, and operational partners.\n\nAbout OpenAI\n\nOpenAI 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 the full spectrum of humanity.\n\nWe are an equal opportunity employeration, or other applicable legally protected characteristic.\n\nBackground checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities.\n\nAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n\nCompensation\n\n$257K – $335K + Offers Equity","company":"OpenAI","rawCompany":"openai","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-12T07:53:31.284Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"}],"industries":[{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Program Manager, AI Infrastructure Capacity Planning","description":"Technical Program Management - San Francisco\n\nAbout the Team\n\nOpenAI's Industrial Compute organization builds and operates the infrastructure required to train and serve frontier AI models. The Capacity Planning team connects rapidly changing research and product demand with the compute, networking, storage, power, data center, hardware, and operational resources required to make that demand executable.\n\nAbout the Role\n\nWe are seeking a Technical Program Manager to build and lead capacity planning across OpenAI's large-scale AI infrastructure. You will translate uncertain workload demand into clear infrastructure requirements, allocation decisions, supply commitments, activation priorities, and long-range capacity strategies.\n\nThis role sits at the intersection of research, engineering, infrastructure, finance, sourcing, deployment, and operations. You will create the planning models, operating cadences, governance mechanisms, and source-of-truth systems that allow teams to understand what capacity is required, what is available, what is at risk, and what decisions must be made.\n\nThis is not a finance-only forecasting or reporting role. Success requires technical fluency across the infrastructure stack, strong analytical judgment, and the ability to move consequential decisions forward when requirements, timelines, and supply conditions change quickly.\n\nKey Responsibilities\n\nOwn capacity-planning processes across near-term workload allocation, quarterly execution, and longer-range infrastructure horizons.\n\nTranslate research, training, inference, and product demand into compute, accelerator, cluster, networking, storage, rack, power, and site requirements.\n\nDevelop scenarios that make assumptions, confidence levels, constraints, sensitivities, and decision points explicit.\n\nReconcile requested demand against contracted, delivered, installed, activated, and workload-usable capacity.\n\nPartner with research and engineering teams to understand workload priorities, technical dependencies, utilization patterns, and changing requirements.\n\nPartner with sourcing, finance, hardware, deployment, and operations teams to align supply commitments, activation schedules, costs, and delivery risks.\n\nSupport allocation and prioritization decisions when infrastructure is constrained or delivery plans change.\n\nTrack infrastructure lead times, critical dependencies, utilization, headroom, forecast accuracy, activation readiness, and capacity risk.\n\nBuild dashboards, analytical tools, executive updates, and operating cadences that create a credible source of truth.\n\nDrive mitigation plans for site delays, hardware shortages, network or storage constraints, workload changes, and other capacity risks.\n\nContinuously improve planning models, governance, data quality, and accountability as OpenAI's infrastructure scales.\n\nQualifications\n\n8+ years of experience in technical program management, infrastructure capacity planning, cloud infrastructure, supply planning, or a closely related field.\n\nDemonstrated ownership of capacity planning for large-scale distributed systemss, AI or ML workloads, or hyperscale infrastructure.\n\nAbility to translate ambiguous demand into structured assumptions, scenarios, technical resource requirements, and executable plans.\n\nTechnical fluency across compute, networking, storage, data center infrastructure, utilization, reliability, and deployment dependencies.\n\nStrong analytical skills and experience developing planning models, operational metrics, dashboards, or data-driven decision systems.\n\nExperience leading decisions across engineering, finance, sourcing, deployment, operations, and executive stakeholders.\n\nExcellent written and verbal communication, including the ability to explain uncertainty, tradeoffs, and recommendations clearly.\n\nPreferred Skills\n\nExperience planning GPU, accelerator, or AI infrastructure capacity for training or inference workloads.\n\nExperience with cluster allocation, cloud capacity, hardware supply, infrastructure procurement, site readiness, or production activation.\n\nFamiliarity with forecasting methods, scenario planning, optimization, cost attribution, capacity economics, and utilization management.\n\nExperience building planning tools or source-of-truth systems using SQLs, or similar technologies.\n\nTrack record of improving utilization, reducing infrastructure cost or risk, and enabling critical workloads during periods of constrained supply.\n\nLocation\n\nSan Francisco, California. This role requires regular in-person collaboration with infrastructure, research, and operational partners.\n\nAbout OpenAI\n\nOpenAI 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 the full spectrum of humanity.\n\nWe are an equal opportunity employeration, or other applicable legally protected characteristic.\n\nBackground checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities.\n\nAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n\nCompensation\n\n$257K – $335K + Offers Equity","datePosted":"2026-09-12T07:53:31.284Z","dateModified":"2026-09-12T07:53:31.284Z","hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"edc1d4496847cb6999f2df20"},"url":"https://jobsearcher.com/jobs/edc1d4496847cb6999f2df20"}}