Technical Program Manager III, Data Center Machine Learning Operations, Supply Chain

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• Experience in data center planning, constraint enforcement, and supply chain management.
• Experience managing machine learning infrastructure deployments.

• 5 years of experience managing cross-functional or cross-team projects.
• Experience with network hardware and data center infrastructure, including liquid cooling and mechanical/electrical supporting systems.
• Experience with physical planning and deployment of machine rack hardware.
• Experience with operations, and mechanical and electrical systems, with a focus on how this supports a supply chain.

As a Technical Program Manager on the Machine Operations and Deployment Engineering, you will coordinate throughout the capacity planning and server floor deployment domains to ensure feasibility, manage inter-project dependencies, and plan server floor deployments for Global Google Capacity Deployments with a focus on machine learning and AI deployments.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Assign physical location's on the server floor ensuring space/power/cooling/networking constraints are met.
• Manage rack placement deployment feasibility across physical placement, construction, network deployments, and fleet reconfigurations.
• Track and manage dependencies to enable the rack deployment.
• Order manage and design process and tooling for ability to review for feasibility, infrastructure dependency tracking, and execution.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.