Technical Program Manager, Infrastructure Supply Chain and Manufacturing Operations

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google . Partner directly with the Director to drive technical roadmaps, engineering OKRs, and executive operational reviews across Google Cloud’s ISM organization. Lead end-to-end technical execution across data center infrastructure, silicon/hardware manufacturing, commodity engineering, and supply chain systems. Apply engineering judgment to evaluate technical trade-offs, mitigate manufacturing risk, and resolve critical cross-functional architecture and delivery dependencies. Serve as technical proxy and escalation point for leadership, resolving multi-disciplinary engineering bottlenecks across global manufacturing and infrastructure programs. Analyze telemetry, lifecycle, and capacity data across ISM pipelines to optimize technical workflows, improve yield, and guide organizational strategy. Minimum qualifications: Bachelor's degree in Engineering, Computer Science, Supply Chain, Operations, a related technical field, or equivalent practical experience. 8 years of experience in technical program management (TPM) or engineering program management. 5 years of experience driving technical delivery across hardware, data center infrastructure, silicon/semiconductor, or technology manufacturing supply chain environments. Preferred qualifications: Experience partnering directly with Director or VP-level technical leadership in an executive advisory, technical operations, or Chief of Staff-style capacity. Strong background in data analysis, telemetry, and capacity modeling to drive operational efficiency, yield improvements, and risk mitigation across complex technical pipelines. Demonstrated track record of establishing organization-wide governance, OKR cadences, and operating rhythms for large multi-disciplinary engineering organizations. Deep technical domain knowledge in data center hardware, server/rack architectures, custom silicon/ASICs, optical networking, power infrastructure, or electronics manufacturing (EMS/ODM). Proven ability to apply engineering judgment to evaluate architectural trade-offs, resolve technical escalations, and unblock cross-functional dependencies. Exceptional executive-level communication skills, with proven success influencing without authority across engineering, supply chain, finance, and legal teams.