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Lead strategic planning and portfolio management for ML TPU systems through the full new product introduction lifecycle, from concept to production. Requires a bachelor's degree in a technical field, ten years of program management experience, and five years leading hardware/software NPI cycles for ML infrastructure like TPUs or GPUs. You'll coordinate cross-functional teams, align organizational objectives, manage resourcing decisions, and communicate progress continuously to executives and stakeholders.

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

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Job Description

  • Lead strategic planning framework for a complex program portfolio including direct influence over resourcing decisions, planning cadence, and planning stakeholders.
  • Lead and program manage e2e engineering development and landing of next-gen ML TPU systems through NPI PLC process from concept to production and sustaining.
  • Engage with senior executives and cross functional leaders to strategize and contribute to ML hardware/system roadmap.
  • Partner with engineering leads and cross-functional teams to ensure that organization-wide Objectives and Key Results (OKRs) are set and reflect top-level strategy as well as ensure projects are effectively prioritized, resourced, and managed.
  • Ensure all leadership/stakeholders are aware of progress/blockers on a continuous basis, drive strategic and tactical decisions throughout all organizations and levels.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 10 years of experience in program management.
  • 5 years of experience leading hardware/software New Product Introduction (NPI) lifecycles for machine learning infrastructure (e.g., TPU, GPU, or similar AI-compute clusters).

Preferred qualifications:

  • 10 years of experience managing complex cross-functional or cross-team projects.
  • Ability to align, prioritize, resource, and scale programs according to strategic objectives, and to result in maximized organizational benefits and improved business outcomes.
  • Ability to assess engineering problems, understand the interplay between program and technical issues, and contribute to shaping technical directions.
  • Ability to drive complex program level or organizational changes, and manage, communicate and introduce them in the least disruptive manner.
  • Advanced program management skills, with the demonstrated ability to successfully drive and land large and complex programs.
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 10 years of experience in program management.
  • 5 years of experience leading hardware/software New Product Introduction (NPI) lifecycles for machine learning infrastructure (e.g., TPU, GPU, or similar AI-compute clusters).
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  • Role Senior Technical Program Manager II, NPI, AI/ML (TPU) Systems
  • 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

212K – 285K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 73 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:
3 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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