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Senior Technical Program Manager III, AI​/ML, Google Ads

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google LLC
Full Time position
Listed on 2026-09-29
Job specializations:
  • IT/Tech
    AI Business & Operations, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 192000 - 278000 USD Yearly USD 192000.00 278000.00 YEAR
Job Description & How to Apply Below

Senior Technical Program Manager III, AI/ML, Google Ads

Share Senior Technical Program Manager III, AI/ML, Google Ads

Google Mountain View, CA, USA ;
New York, NY, USA ; +1 more

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By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA;
New York, NY, USA;
Pittsburgh, PA, USA

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  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience with AI/ML.
Preferred qualifications:
  • 8 years of experience managing cross-functional or cross-team projects.
  • Experience in Ads platforms.
  • Experience with the software development lifecycle, integration testing, and ML pipeline management.
  • Demonstrated experience in technical project management, addressing and solving complex problems in machine learning, generative modeling, or applied research.
  • Firm sense of accountability and ownership for the end-to‑end project lifecycle, with the ability to translate complex research concepts into actionable engineering plans.
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 SAGE (Search Ads and Ads on Google Experiences) team is dedicated to creating highly useful, intuitive, and beautiful commercial experiences for billions of users across Search and other surfaces. We apply the latest research, working with partners across Google, to solve complex technical challenges that shape the next era of Google's advertising products.

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

  • Be responsible for the development and execution of feature planning, prioritization, and operations for generative modeling and applied research initiatives.
  • Partner closely with advanced research teams (e.g., Deep Mind) to transition applied research into production and solve SAGE's hardest technical challenges.
  • Establish the necessary programs and one‑off projects for the team to plan and execute in order for the generative modeling product area to be successful.
  • Manage day‑to‑day resource requirements (including ML compute/TPU capacity), risks, and priorities.
  • Interface with other product, engineering, and research teams within Ads to develop actionable execution plans.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a…

Position Requirements
10+ Years work experience
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