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

Google

New York (NY)

On-site

USD 192,000 - 278,000

Full time

3 days ago
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Job summary

Google is seeking a Senior Technical Program Manager III for AI/ML within the Google Ads group. You will lead cross‑functional, multi‑discipline programs from requirements through delivery, partnering with research and engineering teams across locations including Mountain View and New York.

Responsibilities include planning feature roadmaps for generative modeling and applied research, managing resources and risks, and translating complex models into scalable product plans for Ads.

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.

Responsibilities

  • 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.

Skills

Ownership & decision-making
Ambiguity handling
Stakeholder influence
AI/ML domain expertise
Program management experience

Education

Bachelor's degree in a technical field

Job description

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

GoogleMountain View, CA, USA; New York, NY, USA; +2 more; +1 more

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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
  • 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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 culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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