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Location
In office (Mountain View)
Seniority
Middle · 2+ years exp

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Nov 2, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

As part of Commerce Resource Management, you will be working in a dynamic environment, balancing the allocation of finite data center resources to best fit business needs. You will be a primary point-of-contact for forecasting, planning, and allocation of capacity needs across Commerce to ensure that proper financial accountability yields successful launches and growth for our products.

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.

Qualifications

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).
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