PM II, Infra Resource Planning for Ads & Commerce

Google LLC; Mountain View (CA); On-site; USD 132,000 - 189,000; Full time

Job summary

Google Ads and Commerce is seeking a Program Manager II to lead infrastructure resource planning across Google Ads and Commerce. You will coordinate with Engineering, Product Management, and SRE to plan requirements, schedules, risks, and cross-functional updates that span offices and time zones.

The role emphasizes data-driven planning, collaboration, and leveraging AI tools to optimize resource use, with equity and a strong compensation package.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in program or project management.
• Experience planning in a data center infrastructure environment (capacity planning, supply chain planning).
• Experience with supply chain management.

Responsibilities

• Own the plan of record for commerce's infrastructure resource needs.
• Partner with Engineering, Product Management, and Site Reliability Engineering (SRE) to understand business growth plans and convert them into resource growth requirements.
• Aggregate and articulate/explain the needs and tradeoffs (e.g., cost, service reliability) to stakeholders to secure the required resources.
• Drive communication cadence to make sure all teams are aligned while representing the needs of the commerce business in cross-product area discussions/negotiations.
• Build tooling and leverage AI to automate and simplify resource management processes.

Skills

Program management

Project management

Data center planning

Supply chain management

Education

Bachelor's degree or equivalent

Tools

SQL

Job description

Google Ads and Commerce is seeking a Program Manager II to lead infrastructure resource planning across Google Ads and Commerce. You will coordinate with Engineering, Product Management, and SRE to plan requirements, schedules, risks, and cross-functional updates that span offices and time zones.

The role emphasizes data-driven planning, collaboration, and leveraging AI tools to optimize resource use, with equity and a strong compensation package.