{"id":3322986,"url":"https://alion.io/job/google-product-manager-ii-ml-fleet-training","title":"Product Manager II, ML Fleet Training","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":79,"open_postings":143,"ghost_share":0.049,"stale_share":0.678,"repost_share":0.049,"time_to_fill_p50_days":30,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Product","role_family":"Product","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":133000,"max_usd":259000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":803},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TPU","optional":false},{"name":"HPC","optional":true},{"name":"JAX","optional":true},{"name":"Machine Learning","optional":true},{"name":"Post-training","optional":true},{"name":"PyTorch","optional":true},{"name":"Ray","optional":true}],"status":"live","first_seen_at":"2026-10-27T08:39:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-03T14:54:46Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About the job\nAt 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.\nIn 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.\nOne 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.\nAs 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.\nGoogle 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\nLearn more about benefits at Google.\nResponsibilities\nDefine 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.\nStandardize 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.\nPartner with DeepMind and Core ML to optimize complex distributed training workloads, specifically targeting Reinforcement Learning, data ingestion pipelines, and check-pointing efficiency.\nDrive the productization of \"AI for AI\" diagnostic platforms (e.g., agentic root-cause analysis and trace telemetry) to automate detractor resolution at fleet scale.\nLead resource governance and quota frameworks across Search, Ads, Cloud, and GDM, fostering high-trust executive partnerships that maximize accelerator utilization without compromising research velocity.\nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n5 years of experience in product management or related technical role.\n2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).\nExperience utilizing AI productivity tools to streamline individual, business, or development workflows.\nPreferred qualifications:\nMaster’s degree or PhD in Computer Science, Computer Engineering, or an MBA with a technical undergraduate degree.\n5 years of experience managing machine learning infrastructure, AI accelerator 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