Technical Program Manager, NPI, AI/ML (GPU) Systems

Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in program management. Experience in launching new products, encompassing in hardware and software development, and systems infrastructure. Preferred qualifications: 8 years of experience managing cross-functional or cross-team projects. Experience in hardware engineering, software engineering, GPU Systems and solutions. Experience with launching IaaS VM, bare metal and machine of the day products. Understanding of large-scale distributed systems and technical judgement. Firm sense of accountability, ownership for the project lifecycle and sound knowledge of project management. About the job 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 force 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 - $279000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Orchestrate the overall program strategy and drive End to End (e2e) execution across large/cross-functional teams. Set the goal and direction for a program by outlining goals and objectives, evaluating and supervising multiple projects, organizing cross-project work within the program, and defining program controls/governance/standards. Manage multiple cross-functional programs simultaneously with engaging priorities. Drive consistency between Cloud processes and central processes. Use technical judgment to drive project delivery, technology reviews, challenge proposals and build consensus. Manage escalations and unblock obstacles, ensure all leadership/stakeholders are aware of progress/blockers on a continuous basis. Demonstrate strong problem-solving, negotiation and organizational skills.