{"schemaVersion":"jobsearcher.job.v1","id":"d895ca74ff1f154d5430e613","url":"https://jobsearcher.com/jobs/d895ca74ff1f154d5430e613","canonicalUrl":"https://jobsearcher.com/jobs/d895ca74ff1f154d5430e613","title":"Senior Technical Program Manager, Core ML","description":"Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Sunnyvale, CA, USA.\nMinimum qualifications:\nBachelor's degree in a technical field, or equivalent practical experience.\n10 years of experience in program management.\n\nPreferred qualifications:\n10 years of experience managing cross-functional/team projects.\nExperience managing complex, high-stakes, and cross-functional technical programs in the AI/ML space.\n\nDemonstrate technical judgment and architectural understanding.\nAbout the job\n\nA 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.\n\nAccelerate Google's delivery of AI products and compute by providing services, infrastructure, and frameworks that are efficient and reliable at scale. The Core ML Program Management Office (PMO) is responsible for driving standard, repeatable software stacks, reducing technical fragmentation, and accelerating the transition from research to production.\n\nThe AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.\n\nWe're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.\n\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $240000 - $333000 (USD) + 25% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nGuide programs through the Core ML Product Life-cycle (Concept, Planning, Development, Pilot, and GA).\nPartner closely with Engineering Leads, Product Managers, and cross-Product Area (PA) customers (e.g., Cloud, Search, Ads, YouTube) to align roadmaps, capture dependencies, and unblock execution bottlenecks.\n\nApply technical understanding to evaluate architectural trade-offs, drive design discussions, and manage complex cross-group dependencies.\nDefine and monitor program health metrics, report on OKR progress to leadership, and streamline communication across virtual and dedicated engineering structures.\nGoogle 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","company":"Google","rawCompany":"google","city":"Sunnyvale","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-25T11:10:42.871Z","occupations":[{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Technical Program Manager, Core ML","description":"Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Sunnyvale, CA, USA.\nMinimum qualifications:\nBachelor's degree in a technical field, or equivalent practical experience.\n10 years of experience in program management.\n\nPreferred qualifications:\n10 years of experience managing cross-functional/team projects.\nExperience managing complex, high-stakes, and cross-functional technical programs in the AI/ML space.\n\nDemonstrate technical judgment and architectural understanding.\nAbout the job\n\nA 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.\n\nAccelerate Google's delivery of AI products and compute by providing services, infrastructure, and frameworks that are efficient and reliable at scale. The Core ML Program Management Office (PMO) is responsible for driving standard, repeatable software stacks, reducing technical fragmentation, and accelerating the transition from research to production.\n\nThe AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.\n\nWe're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.\n\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $240000 - $333000 (USD) + 25% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nGuide programs through the Core ML Product Life-cycle (Concept, Planning, Development, Pilot, and GA).\nPartner closely with Engineering Leads, Product Managers, and cross-Product Area (PA) customers (e.g., Cloud, Search, Ads, YouTube) to align roadmaps, capture dependencies, and unblock execution bottlenecks.\n\nApply technical understanding to evaluate architectural trade-offs, drive design discussions, and manage complex cross-group dependencies.\nDefine and monitor program health metrics, report on OKR progress to leadership, and streamline communication across virtual and dedicated engineering structures.\nGoogle 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","datePosted":"2026-08-25T11:10:42.871Z","dateModified":"2026-08-25T11:10:42.871Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d895ca74ff1f154d5430e613"},"url":"https://jobsearcher.com/jobs/d895ca74ff1f154d5430e613"}}