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Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, a related field, or equivalent practical experience.

• 2 years of experience in program management.

• Experience in planning, building, driving and qualifying New Product Introduction (NPI) process stages throughout the Product Life Cycle (PLC) with engineering teams.

• Experience in managing capacity and deployment planning as it relates to data center infrastructure and standards (e.g., power, space, cooling, operations, network, servers, hardware products).

Preferred qualifications:

• 2 years of experience in managing cross-functional or cross-team projects.

• Experience working with hardware programs (e.g., PCBA, L10 assembly) or networking products (e.g., NICs, switches, optics, racks).

• Experience in managing data center constraints.

• Experience in data center, networking and machine deployments, with an understanding of the deployment process.

• Knowledge of data center physical layouts, infrastructure, and standards (e.g., power, space, cooling, operations and network).

• Familiarity with New Product Introduction (NPI) process and Product Life Cycle (PLC), as it relates to hardware products for machine learning and high-performance computing.

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 (https://careers.google.com/benefits/) .

• Support the delivery of large, complex projects, managing data center constraints (e.g., power, space, cooling, operations and network) in data center deployments.

• Create and manage physical layouts and standards, including the deployment impact and feasibility of NPIs. Define and manage tooling requirements for planning and delivery.

• Influence the development of New Product Introduction (NPI) and server floor design decisions, focused particularly on upcoming fleetwide transitions in the Machine Learning (ML) and accelerators space. Build plans to help smoothly transition between successive product generations.

• Define standards and policies to simplify deployability of new ML and accelerator products, spanning TPU, GPU, and other product families across multiple product area.

• Build relationships with cross-functional teams. Drive process improvements, especially regarding coordination and collaboration across internal engineering resources.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.