Program Manager II, Infrastructure Capacity Planning, Commerce
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in program or project management.
- Experience with planning or forecasting for data center infrastructure or supply chain (e.g., resource management, capacity planning, inventory planning, demand forecasting).
- Experience managing programs and processes across distributed systems.
Preferred qualifications:
- 2 years of experience managing cross-functional or cross-team projects.
- Experience in product area resource management/infrastructure planning roles.
- Domain expertise in more than one of these areas: data center infrastructure (compute/storage/networking), capacity planning, demand forecasting, supply chain planning, ML (TPU/GPU) infrastructure.
- Technical aptitude and familiarity/experience with programming (e.g., SQL, AI vibe coding).
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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
The Commerce Product Area (PA) is a division within Google's Knowledge and Information (K&I) organization. Its mission is to deliver delightful, trusted, and seamless commercial connections for everyone. They are responsible for managing machine resources, associated budgets, and distributions for the Commerce Product Area.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Oversee annual budget planning, quarterly resource ordering, and OpEx tracking for compute, storage, and specialized artificial intelligence and machine learning hardware.
- Process, validate, and deliver resource requests to engineering teams.
- Drive resource efficiency efforts, including clawbacks of unneeded resources, to ensure high utilization and cost savings.
- Coordinate closely with other resource pools and Product Area Resource Management teams, particularly Ads Resource Engineering, Core, and Search, to acquire and distribute resources.
- Build tooling and leverage AI to automate and simplify resource management processes.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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