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Senior Technical Program Manager II, NPI, AI/ML (TPU) Systems

Google
Sunnyvale, USA
Senior · 10+ years experience
Onsite
USD 240000-333000 / year
Discovered 2 weeks ago

Full Job Posting

Responsibilities

  • 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.

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