Technical Program Manager, NPI, AI/ML

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.
• 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.
• 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.
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: $192000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits
Responsibilities
Learn more about benefits at Google .

• Partner with key engineering leads/stakeholders, contribute to ML system roadmap by program managing complex projects, organizing cross-project work within the program, and defining program controls, governance, or standards.
• Lead end-to-end development and landing of next-gen ML systems through NPI Product Life Cycle (PLC) process from concept to production and sustaining.
• Drive a portfolio of tracks to make direct and measurable impact on customer adoption.
• Partner with engineering leads and cross-functional teams to ensure that organization-wide Objectives and Key Results (OKRs) are set and reflect strategy as well as ensure projects are effectively prioritized, resourced, and managed.
• Engage with executives and cross-functional leaders to strategize and drive ML hardware/system roadmap.

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 .