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.
Preferred qualifications:
- 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.
About the job:
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.
Responsibilities:
- 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.