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Lead a team of program managers and data analysts while owning Alphabet-wide TPU and GPU data center planning and capacity modeling. This role requires eight years of program management experience, five years in leadership, and expertise in data center infrastructure planning and analytics. You'll drive capacity modeling, scenario analysis, and cross-functional alignment on resource allocation decisions, while leading strategic initiatives for planning automation and efficiency improvements across fleets.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Lead and mentor a high-performing team of program managers and data analysts. Set team strategy, foster career development, and scale team operational rhythm.
  • Own and direct the Alphabet-wide TPU and GPU DC plan of record. Lead in-depth capacity modeling, scenario analysis, and trade-off frameworks under tight resource constraints.
  • Serve as cross-DCP lead for ML trade-off decisions, executive escalations, and priority balancing.
  • Drive strategic initiatives for DCP planning & system enhancement and workflow automation in collaboration with engineering partners. Enable scalable planning automation, standardized change-control policies, and improved power/space efficiency across fleets.
  • Lead effort to codify technical and business requirements across Google product areas, bridging demand intent with physical supply execution.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • 5 years of experience in a leadership role with/without direct reports.
  • Experience planning data center infrastructure.
  • Experience using data analytics to derive insights and drive process improvements.

Preferred qualifications:

  • 8 years of experience managing cross-functional/team projects.
  • Experience building consensus, managing competing priorities, and aligning technical and business partners.
  • Ability to guide and align cross-functional teams toward shared goals without direct authority.
  • Skill in translating complex data into clear narratives for executive leadership.
  • Proficiency in applying analytical methods to validate capacity planning and infrastructure strategies.
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • 5 years of experience in a leadership role with/without direct reports.
  • Experience planning data center infrastructure.
  • Experience using data analytics to derive insights and drive process improvements.
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  • Role Leadership Technical Program Manager II, Data Center Demand and Allocation Planning, Machine Learning
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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76 more Technical Program Manager roles in San Francisco

Job Overview

Approx. salary range

177K – 210K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 24 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
5 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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