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).
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.
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 .
