Senior Technical Program Manager, ML Infrastructure Acceleration

Senior Technical Program Manager, ML Infrastructure Acceleration corporate_fare Google place Mountain View, CA, USA bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum qualifications:

Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in program management.

Preferred qualifications:

8 years of experience managing cross-functional or cross-team projects. Experience collaborating and influencing stakeholders across all levels and spanning multiple organizations. Experience with executive-level communication. Experience in customer engagement with passion for customer success. Ability to shift between direct detailed analysis and big picture thinking and customize communication based on the audience. 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. In this role, you will manage one of the world's largest Machine Learning fleets in the era of AI, ML, and Agents. You will interact with cross-functional teams spanning Googlers. You will get to write your own playbook across process, policy, and software. You will regularly communicate with executive management. 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. The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities Maintain and publish (weekly) Plan of Record (PoR) supply projection for one or more products in the GPU or TPU portfolio. Communicate supply status, risks, and blockers to leads across all key stakeholder teams and executives. Evaluate acceleration options, setting acceleration goals and driving progress to those goals, doing demand/supply trade-offs, risk assessments, etc. in partnership with delivery teams across Global Data Centers (GDC), Global Grid and Infrastructure (GGI), Chief Supply Chain Office (CSCO), Platform and Infrastructure Engineering (PIE), SRE. Publish system and tooling requirements to drive automation and scale in planning and execution.