September 2, 2025

Technical Program Manager III, Machine Learning, Search

Mid • On-site

$156,000 - $229,000/yr

Mountain View, CA

Minimum qualifications:

  • Bachelor's degree in a relevant field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience in Machine Learning or Artificial Intelligence.

Preferred qualifications:

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience with one or more of the following: automation, deep learning, speech recognition, TensorFlow.
  • Experience managing execution and high quality product delivery.
  • Experience with consumer facing products.
  • Ability to exercise technical judgment in solving software engineering challenges.
  • Ability to be an influential member of a highly integrated team composed of both technical and non-technical members.

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.

As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact.
  • Prioritize program goals, understand and translate other stakeholders’ needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables.
  • Define the scope of projects and develop, execute, or manage project plans for supported program(s).
  • Review key metrics pertaining to a program, monitor potential metric deviations, and define corrective actions for critical deviations. Identify, communicate, and collaborate with relevant stakeholders within one or more teams to drive impact and work toward mutual goals.
  • Understand Machine Learning technologies and their applications used at Google and beyond.