Program Manager II, Infrastructure Capacity Planning, Commerce

Google•Mountain View, CA

3d•$132,000 - $189,000

About The Position

As a Program Manager at Google, you will lead complex, multidisciplinary projects from start to finish. You will work with stakeholders to plan requirements, manage schedules, identify risks, and communicate with cross-functional partners across offices and time zones. The Commerce Product Area is part of Google's Knowledge and Information organization. Its mission is to deliver delightful, trusted, and seamless commercial connections. The organization manages machine resources, associated budgets, and distributions for Commerce. In Commerce Resource Management, you will balance finite data center resources against business needs and serve as a primary point of contact for forecasting, planning, and allocating capacity across Commerce. The role supports financial accountability, successful launches, and product growth. Google Ads applies machine learning and generative AI to its global advertising business, working to protect users, improve ad quality, and optimize campaign return on investment. This role oversees resource planning and allocation for Commerce, including compute, storage, and specialized AI and machine-learning hardware.

Requirements

Bachelor's degree or equivalent practical experience.
At least 2 years of experience in program or project management.
Experience with planning or forecasting for data center infrastructure or supply chain, such as resource management, capacity planning, inventory planning, or demand forecasting.
Experience managing programs and processes across distributed systems.

Nice To Haves

At least 2 years of experience managing cross-functional or cross-team projects.
Experience in product-area resource management or infrastructure-planning roles.
Domain expertise in more than one of the following: data center infrastructure (compute, storage, or networking), capacity planning, demand forecasting, supply-chain planning, or ML (TPU/GPU) infrastructure.
Technical aptitude and familiarity or experience with programming, such as SQL or AI vibe coding.

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 improve utilization and reduce costs.
Coordinate 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.