Technical Program Manager, ML Fleet Planning and Operations

Company: Google
Location: Addison
Posted on: March 28, 2026

Job Description:

Minimum qualifications: Bachelors degree in a technical field or equivalent practical experience. 10 years of experience in program, project management, strategy and operations or a related field. Preferred qualifications: Experience with data center, network, or machine learning infrastructure planning and deployment. Ability to identify, break down, and solve ambiguous processes and technical problems that span across many teams and organizations. Ability to represent projects from business, product, and technical perspectives to the highest levels of the company. Excellent communication and presentation skills. 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. Youre equally comfortable explaining your teams analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. ML Fleet Demand Planning is the authoritative source for Machine Learning (ML) infrastructure demand forecasting and allocation, enabling proactive, data-driven decisions that maximize the return on investment of Alphabets AI Accelerators and supporting auxiliary resources. We aspire to establish industry-leading planning methodologies that are adaptable, transparent, and seamlessly integrated across the ML Fleet ecosystem. The US base salary range for this full-time position is $240,000-$334,000 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 . Responsibilities 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. Influence multi-billion dollar investment decisions and ensure that our capacity planning and supply chain are aligned with Googles strategic AI objectives. Navigate a complex, data-rich environment. Forecast the complex and rapidly evolving demand for Googles ML infrastructure.

Keywords: Google, Garland , Technical Program Manager, ML Fleet Planning and Operations, Engineering , Addison, Texas