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Salary
≈ $153k – $275k per year (Estimated)
Location
In office (Boulder)
Seniority
Staff · 10+ years exp

First seen by Alion on Sep 16, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

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 lead complex, multi-disciplinary engineering projects using your engineering expertise. You 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. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

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

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Define, own, and drive governance and execution for complex, ambiguous programs critical to gTech Users and Products (gUP). Lead the end-to-end lifecycle from concept and technical feasibility to global deployment and optimization.
  • Influence and align product leadership and key stakeholders across gUP and partner organizations on program goals, priorities, resource allocation, and technical direction.

  • Navigate the evolving Generative AI landscape to anticipate technical blockers, manage dependencies, and ensure scalable conversational AI architectures.

  • Drive significant improvements in organizational effectiveness, team processes, and cross-functional collaboration, establishing best practices.

  • Lead, mentor and grow Technical Program Managers (TPMs) and team members, fostering excellence and a deep understanding of technical program management within gUP Technical Solutions and Insights (TSI).

Qualifications

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience contributing to AI-based feature development.
  • Experience managing a team as a People Manager.

Preferred qualifications:

  • 10 years of experience delivering complex, cross-functional technical projects and programs with multiple stakeholders in a changing environment.
  • 8 years of experience managing cross-functional/team projects.
  • Experience coordinating legal, risk, privacy and compliance for external (user-facing) launches.
  • Proven experience in navigating ambiguity, identifying and mitigating risks, and managing dependencies.
  • Good understanding of large language models, with knowledge of multi-turn conversations or model behavior.
  • Strong communication skills to articulate complex technical concepts clearly to audiences, both technical and nontechnical, including executive leadership.
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