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Technical Program Manager III, NPI Programs, Technical Infrastructure

  • Sunnyvale, CA, United States

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Job details

Experience
5 years of experience in program management.
Posting language
English

Original job description

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience with NPI infrastructure (e.g., design, deployment or sustaining of hardware or software programs).

Preferred qualifications:

  • Experience with network fabric solutions, networking equipment, or large-scale data center infrastructure.
  • Experience with AI/ML accelerator systems (e.g., TPUs, GPUs) or related infrastructure.
  • Experience leading large, cross-functional programs and managing teams.

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.

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you will lead complex, multi-disciplinary engineering projects using your engineering expertise. You will plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders.

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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

  • Manage complex Infrastructure NPI programs. Expected ability to manage hardware or software product deployments across cross-functional stakeholders with a high degree of independence.
  • Navigate ambiguity to define and drive cross-functional programs in large, complex work groups, typically upwards of dozens of team members and stakeholders that span multiple teams/organizations or product area.
  • Develop strategy, define and drive programs and processes through ambiguity to address significant challenges, measured by direct business impact on company or product area OKRs.
  • Set project/program success criteria, create measurable milestones, track deliverables and deliver customer value incrementally. Measure, analyze and optimize constantly to improve velocity, quality and efficiency of projects.
  • Communicate widely and transparently. Keep stakeholders appraised of progress through periodic updates and checkpoints such as engineering reviews.
More about this job

Skills

  • Program management
  • ML
  • Google Cloud
  • Research

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