Product Manager II, ML Fleet Training

Product Manager II, ML Fleet Training

Share Product Manager II, ML Fleet Training

corporate_fare Google place Sunnyvale, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Product Manager II, ML Fleet Training

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 5 years of experience in product management or related technical role.

• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).

• Experience utilizing AI productivity tools to streamline individual, business, or development workflows.

Preferred qualifications:

• Master’s degree or PhD in Computer Science, Computer Engineering, or an MBA with a technical undergraduate degree.

• 5 years of experience managing machine learning infrastructure, AI accelerator platforms (TPUs/GPUs), or high-performance computing (HPC) clusters.

• 3 years of experience developing and deploying AI systems, managing machine learning infrastructure, or evaluating and optimizing AI models for task execution and reliability.

• Deep familiarity with modern machine learning training and post-training frameworks (JAX, PyTorch, Ray), distributed tracing, and data ingestion architectures.

• Demonstrated success establishing company-wide metric standards, capacity governance models, or developer observability platforms.

About the job

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.

As the Product Manager for ML Training Fleet Efficiency, you will serve as the product lead driving utilization, efficiency, and governance across Google's global AI accelerator fleet. In this role, you will direct cross-functional engineering initiatives across core infrastructure. You will act as an authoritative spokesperson and advisor to executive leadership to sustainably power Google's next-generation AI breakthroughs.

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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Define and execute the multi-year product roadmap for Google’s ML Training Fleet Efficiency across TPUs, targeting high-leverage bottlenecks and unlocking hundreds of millions in compute capacity.

• Standardize company-wide efficiency metrics (such as Prod System Duty Cycle/PSDC and PADC) and telemetry architectures to deliver actionable visibility across executive and engineering stakeholders.

• Partner with DeepMind and Core ML to optimize complex distributed training workloads, specifically targeting Reinforcement Learning, data ingestion pipelines, and check-pointing efficiency.

• Drive the productization of "AI for AI" diagnostic platforms (e.g., agentic root-cause analysis and trace telemetry) to automate detractor resolution at fleet scale.

• Lead resource governance and quota frameworks across Search, Ads, Cloud, and GDM, fostering high-trust executive partnerships that maximize accelerator utilization without compromising research velocity.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.