Technical Program Manager, Demand Planner, ML Fleet

Minimum qualifications:

• 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.
• 5 years of experience in demand planning, forecasting, technical program management, supply chain management, business analytics, or a similar role (for hardware infrastructure, particularly for compute, storage, networking, or specialized accelerators (GPUs, TPUs).

Preferred qualifications:

• 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, NumPy, SciPy), 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 (training and inference) and their implications for infrastructure.

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.

As a Technical Program Manager (TPM) Demand Planner 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. This individual contributor role requires a blend of technical understanding, investigative prowess, program management skills, and the ability to navigate a data-rich environment.

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.

Responsibilities

• 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 (effective deployment of machine and people resources) whereby improvements such as efficiency and utilization gains are measurable and the impact can be felt organization wide.
• Lead a governance structure that drives effective executive decision-making and ensure governance structure effectively exposes and mitigates dependencies.
• Identify change management opportunities that increase program velocity and affect multiple teams.
• Define and manage a program portfolio solving problems that deliver high business impact for the organization and product area.