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

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $192,000.0 - $278,000.0
- **Contract:** Permanent contract
- **Skills:** Google AdWords, Artificial Intelligence, Machine Learning, Software Engineering, Integration Tests
- **Published:** September 26, 2026
- **Apply:** https://dejobs.org/x/x/0F38523E3D914E9DAA03F0FD75C5F05F/job/

## About the Role

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor's degree in a technical field, or equivalent practical experience.

 * 8 years of experience in program management.
 * Experience with AI/ML.
 * Experience in large language model training., * 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.

## Description

* 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., DeepMind) 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.


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