Technical Program Manager, ML Fleet

Google place Kirkland, WA, USA ;
Addison, TX, USA ; +1 more

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By applying to this position you will have an opportunity to share your preferred working location from the following:
Kirkland, WA, USA;
Addison, TX, USA;
Sunnyvale, CA, USA
.

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10 years of experience in program management.
• 8 years of experience in project management, change management, stakeholder alignment, and execution.
• 7 years of experience in leadership roles with/without direct reports.
• 5 years of experience in demand planning, forecasting, supply chain management, business analytics, or a similar role.

• 8 years of experience managing cross-functional or cross-team projects.
• Experience in data manipulation and analysis using tools such as SQL, Python (with libraries like pandas, Num Py, Sci Py), R, or advanced spreadsheet modeling.
• Experience working with datasets and data visualization tools (e.g., Tableau, Looker, Google Data Studio).
• Understanding of Machine Learning/Artificial Intelligence (ML/AI) concepts, workloads and their implications for infrastructure.

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.

As a Technical Program Manager (TPM) in ML Fleet, you will play a critical role in forecasting the rapidly evolving demand for Google's ML infrastructure. You will be responsible for developing and maintaining sophisticated demand models, analyzing trends, and collaborating with a wide array of stakeholders across Product Areas (PAs), research, and engineering to gather inputs and validate assumptions. Your work will directly influence multi-billion dollar investment decisions and ensure that the capacity planning and supply chain are aligned with Google's strategic AI objectives.

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 $227,000-$320,000 + 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 share 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 benefits at Google.

• Implement communications standards across a portfolio of programs including executive and key partner communications.
• Establish a reliable and visible cadence for program reviews, decision‑making, prioritization and resource stewardship whereby…