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

Google; Sunnyvale (CA); On-site; USD 240,000 - 333,000; Full time

Job summary

Google is hiring a Technical Program Manager in Sunnyvale to lead multi-disciplinary ML infrastructure programs, driving end-to-end NPI lifecycles for TPU/GPU systems. You will plan requirements, identify risks, set schedules, and communicate with executives and engineers across the company.

You will coordinate with senior leaders to align OKRs, manage resources, and ensure timely delivery while navigating complex organizational changes and dependencies.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of program management experience.
• 5 years leading hardware/software NPI lifecycles for ML infrastructure (TPU/GPU).

Responsibilities

• Lead strategic planning for a complex program portfolio and resourcing.
• Program manage end-to-end ML TPU system development from concept to production.
• Engage executives and cross-functional leaders on roadmap and OKRs.
• Coordinate with engineers to prioritize and manage projects across the org.
• Proactively surface blockers and drive decisions across teams.

Skills

Program management experience

NPI lifecycles (ML infra)

Cross-functional leadership

Strategic planning

Engineering tradeoffs understanding

Education

Bachelor's degree in a technical field

Job description

• 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).

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.

About The Job

A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

In this role, you will be an excellent leader and will have experience in managing complex system programs across organizational boundaries; driving goals/objectives, associated program plans for ecosystem readiness, timelines, resolving problems, identifying gaps and highlighting them.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .