Minimum qualifications:- Bachelor's degree in a 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.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $240000 - $334000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
