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Salary
≈ $142k – $259k per year (Estimated)
Location
In office (San Jose)
Seniority
Senior · 10+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 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.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

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

Learn more about benefits at Google.

Responsibilities

  • Establish a reliable and visible cadence for portfolio reviews, decision making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization wide. e.g., effective (re)deployment of machine and people resources leading to efficiency and utilization gains (mapping to the concept of resource stewardship).
  • Be a change advocate responsible for initiating and leading multiple organizations through pivots needed to address shifts in business trends and priorities.
  • Drive measurable program performance gains correlated to execution velocity. Establish governance over prioritization decisions to ensure alignment with key performance indicators.
  • Lead strategic planning framework for a complex program portfolio including direct influence over resourcing decisions, planning cadence, and planning stakeholders.
  • Be a highly credible thought leader within Google and industry on the subject matter domain of the respective organization.

Qualifications

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 10 years of experience in program management.
  • 7 years of experience in leadership roles with/without direct reports.
  • Experience utilizing AI productivity tools to streamline business or development workflows.

Preferred qualifications:

  • 10 years of experience managing cross-functional/team projects.
  • Experience driving business transformation using artificial intelligence.
  • Experience working with and managing programs across global development organizations.
  • Experience solving complex system issues by learning and applying emerging technologies like generative AI.
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