Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

Group Product Manager, Machine Learning Frameworks Applied Ecosystem

AT Google
Google

Group Product Manager, Machine Learning Frameworks Applied Ecosystem

Seattle, WA

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in product management or related technical role.
  • 5 years of experience taking technical products from conception to launch.
  • Experience with the domain area of Generative AI or Large Language Models.
Preferred qualifications:
  • Master's degree in a technology or business related field.
  • 6 years of experience in full life-cycle product management and delivery.
  • 3 years of experience with AI/ML model or tooling development (e.g., Product Management or Engineering).
  • 3 years of experience with engineering.

About the job

Want more jobs like this?

Get jobs delivered to your inbox every week.

Select a location
By signing up, you agree to our Terms of Service & Privacy Policy.


At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

The team builds the tooling, service, and technical foundations to enable machine learning research and production behind Google's products and AI/ML OSS offerings. The team advocates for the underlying design elements, developer platforms, components, and infrastructure at Google, and works across Google's products to build central solutions, break down technical barriers, and strengthen existing systems.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $214,000-$305,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

  • Understand the workflows of internal and external applied ML Developers.
  • Engage with Google product areas and the wider community to understand their needs and build platform features to enable use cases.
  • Drive strategy and roadmap development for machine learning stack tooling.
  • Lead teams through defining, identifying, collecting, and tracking appropriate product or business metrics.
  • Communicate with and influence executive leadership and provide thought leadership on ML ecosystem strategy.

Client-provided location(s): Seattle, WA, USA; Mountain View, CA, USA
Job ID: Google-87079477611242182
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Health Reimbursement Account
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Adoption Leave
  • Work Flexibility

    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Pet-friendly Office
    • Snacks
    • Some Meals Provided
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Company Equity
    • Performance Bonus
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Internship Program
    • Learning and Development Stipend
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)

Company Videos

Hear directly from employees about what it is like to work at Google.