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Job Description

  • Refine and translate complex technical performance metrics into clear, top-level business outcomes and auditable efficiency savings, and launch tooling and automated dashboards for efficiency metrics.
  • Lead comprehensive strategic planning cycles to develop high-impact, forward-looking operational efficiency roadmaps.
  • Operationalize structured engagement cadences with key cross-functional teams to streamline execution across the unified framework.
  • Partner with key teams (e.g., Finance, MLSA) etc to ensure the metrics defined and tracked translate into business outcomes for Google.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.

Preferred qualifications:

  • 8 years of experience managing cross-functional or cross-team projects.
  • Experience in machine learning platforms and systems with knowledge of design and deployment of these systems and a strong understanding of the software stack for ML platforms.
  • Excellent program management skills, with the demonstrated ability to successfully drive and land complex cross-functional programs, preferably in the area of hardware/software efficiencies for the data center.
  • Excellent verbal and written communication and presentation skills with the ability to interact with both technical and non-technical audiences.
  • Strong problem-solving, negotiation and organizational skills.
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
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  • Role Technical Program Manager, ML Efficiency
  • 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.

Job Overview

Approx. salary range

213K – 285K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 74 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:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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