Google
Senior Product Manager, Recommendation Models
Google, San Bruno, California, United States, 94066
Join to apply for the
Senior Product Manager, Recommendation Models
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Google 5 days ago Be among the first 25 applicants Join to apply for the
Senior Product Manager, Recommendation Models
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; San Bruno, CA, USA . Minimum qualifications:
Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 2 years of experience in Machine Learning. Experience with data analytics, reporting, scripting and experience using SQL or similar technologies.
Preferred qualifications:
Master’s degree or PhD in a technology or business related field. 5 years of experience working cross-functionally with Engineering, Data Science, UX/UI, Sales, Finance, and other stakeholders. Experience in Engineering or Data Science. Experience in machine learning systems, Large Language Models (LLMs) or foundation models. Ability to work with ML advancements and deliver solutions.
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.
In this role, you will support the future of content discovery for billions of users on YouTube recommendations, lead the evolution of the core machine learning models, particularly by adapting Gemini as a foundation model for YouTube Recommendations. Additionally, as the owner for Watch Next, you will drive improvements in personalization, finding ways to improve the quality of recommendations for one of the most used surfaces at YouTube. A critical aspect of the work will also be to define and enhance the AI chip strategy, enabling the necessary efficiency for continuous training and serving of these advanced models. This role promises impact on YouTube's engagement and business growth by delivering content.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
The US base salary range for this full-time position is $183,000-$271,000 + 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
Integrate Gemini as a foundational model for recommendations adapting it to understand the "language of YouTube" via video watch histories. Guide the models strategy for enhanced recommendation quality. Own the Watch Next surface, improving its performance for various user segments and session types, and driving the complete experience. Develop YouTube's AI Chip strategy for recommendation models, focusing on resource allocation, driving cost improvements, and helping influence the TPU strategy for next generation chips. Advance agentic development within recommendations, fostering new ways to utilize agents to improve velocity in driving forward improvements to the recommendation system.
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 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 . Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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Senior Product Manager, Recommendation Models
role at
Google 5 days ago Be among the first 25 applicants Join to apply for the
Senior Product Manager, Recommendation Models
role at
Google Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; San Bruno, CA, USA . Minimum qualifications:
Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 2 years of experience in Machine Learning. Experience with data analytics, reporting, scripting and experience using SQL or similar technologies.
Preferred qualifications:
Master’s degree or PhD in a technology or business related field. 5 years of experience working cross-functionally with Engineering, Data Science, UX/UI, Sales, Finance, and other stakeholders. Experience in Engineering or Data Science. Experience in machine learning systems, Large Language Models (LLMs) or foundation models. Ability to work with ML advancements and deliver solutions.
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.
In this role, you will support the future of content discovery for billions of users on YouTube recommendations, lead the evolution of the core machine learning models, particularly by adapting Gemini as a foundation model for YouTube Recommendations. Additionally, as the owner for Watch Next, you will drive improvements in personalization, finding ways to improve the quality of recommendations for one of the most used surfaces at YouTube. A critical aspect of the work will also be to define and enhance the AI chip strategy, enabling the necessary efficiency for continuous training and serving of these advanced models. This role promises impact on YouTube's engagement and business growth by delivering content.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
The US base salary range for this full-time position is $183,000-$271,000 + 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
Integrate Gemini as a foundational model for recommendations adapting it to understand the "language of YouTube" via video watch histories. Guide the models strategy for enhanced recommendation quality. Own the Watch Next surface, improving its performance for various user segments and session types, and driving the complete experience. Develop YouTube's AI Chip strategy for recommendation models, focusing on resource allocation, driving cost improvements, and helping influence the TPU strategy for next generation chips. Advance agentic development within recommendations, fostering new ways to utilize agents to improve velocity in driving forward improvements to the recommendation system.
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 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 . Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Product Management and Engineering Industries Information Services and Technology, Information and Internet Referrals increase your chances of interviewing at Google by 2x Get notified about new Senior Product Manager jobs in
San Bruno, CA . Principal Product Manager, Consumer Experience
San Francisco, CA $196,000.00-$281,100.00 4 days ago Menlo Park, CA $190,000.00-$256,000.00 3 weeks ago Senior Product Manager, Behind the Meter and Channel Solutions
Senior Product Manager - Picnic - Marketplace
San Francisco, CA $120,000.00-$192,500.00 22 hours ago San Francisco, CA $215,000.00-$240,000.00 2 weeks ago Principal Product Manager - Developer Platform
Mountain View, CA $200,000.00-$279,000.00 2 days ago Principal Product Manager, Chat Experience
Mountain View, CA $213,500.00-$319,000.00 1 week ago San Francisco, CA $190,000.00-$230,000.00 2 weeks ago Sr. Product Manager - Next-Gen Access/Agentic AI Security
San Francisco, CA $154,000.00-$210,000.00 2 weeks ago Mountain View, CA $183,000.00-$271,000.00 1 week ago Senior Product Manager, AI Subscription Bundles, Google One
Mountain View, CA $183,000.00-$271,000.00 5 days ago Senior Product Manager - Moloco Commerce Media
Redwood City, CA $172,000.00-$219,000.00 2 weeks ago San Francisco, CA $144,000.00-$252,000.00 2 weeks ago Senior Product Manager - AI/ML Personalization
San Francisco, CA $180,000.00-$270,000.00 2 weeks ago Palo Alto, CA $132,100.00-$165,100.00 3 weeks ago San Francisco, CA $252,000.00-$280,000.00 4 weeks ago Senior Product Manager, Display Ads Enablers & Relevance
Mountain View, CA $195,500.00-$212,750.00 1 week ago Mountain View, CA $236,000.00-$319,000.00 5 days ago San Francisco, CA $234,000.00-$316,000.00 2 weeks ago Mountain View, CA $227,000.00-$320,000.00 2 weeks ago Senior Product Manager, Conversational Chatbot
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr