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Salary
≈ $116k – $225k per year (Estimated)
Location
In office (Mountain View)
Seniority
Middle · 5+ years exp

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 7, 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

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 Data Infrastructure team's goal is to build, manage and improve the underlying systems used across Sales, Support, and Marketing Platforms within Customer Engagement (Google Ads). We enable and empower other teams to achieve more than would be possible without our infrastructure.

As a Technical Program Manager on the AI and Data Infrastructure (ADI) team, you will lead complex and exciting AI and Data Infra programs that impact Google Ads and many Google Product Areas. You will work with cross-functional team members from Product Management, Engineering, and UX/UXR to stay on the of AI and Data technology, execute on end-to-end programs from initiation to post-launch, and contribute to team roadmaps and strategy.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

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.

Responsibilities

  • Own and drive the completion of interdependent programs across multiple teams/partnerships on behalf of the ADI team.
  • Partner with key stakeholders across Ads and GBO to implement and tailor Google/Ads-wide strategic programs/initiatives to meet the unique needs and mission of the ADI team.
  • Stay on the edge of AI and data across Google and the broader industry. Attend conferences (both internal and external) to gather knowledge and share learnings with the team.

  • Identify, assess, and mitigate program risks and dependencies. Develop and execute effective escalation strategies to ensure swift resolution of roadblocks.
  • Create comprehensive program charters, timelines and milestones, and contingency plans to ensure all programs goals are delivered on-time and within scope.

Qualifications

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience in AI infrastructure.

Preferred qualifications:

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience with data infrastructure.
  • Experience with ads or customer engagement.
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