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

Google; Pittsburgh (Allegheny County); On-site; USD 192,000 - 278,000; Full time

Job summary

Google seeks a Technical Program Manager to lead complex, multi-disciplinary AI/ML initiatives within the SAGE team, coordinating across researchers, engineers, and product partners to plan requirements, manage schedules, and communicate with executives.

You will work with cross-functional teams to drive generative modeling from research to production, tackling high-impact challenges in ads tech and advertising AI, with accountability for end-to-end delivery.

Qualifications

• 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.

Responsibilities

• Develop and execute feature planning, prioritization, and operations for generative modeling and applied research.
• Partner with advanced research teams (e.g., DeepMind) to transition research into production.
• Establish programs and projects to plan and execute the generative modeling product area.
• Manage day-to-day resources, risks, and priorities (ML compute/TPU capacity).
• Collaborate with product, engineering, and research teams to develop execution plans.

Skills

Program management

AI/ML experience

LLM training

Education

Bachelor's degree in a technical field

Job description

Note: 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.

Minimum qualifications

• 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.

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

Learn more about benefits at Google .

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .