Senior Product Manager, Search Personalization Quality

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 Google Search, we're reimagining what it means to search for information, any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. In this role, you will drive Personalization Quality across Search AI. You will sit at the intersection of state-of-the-art AI models, user understanding, and consumer experience, addressing the nuanced algorithmic trade-offs needed to make AI responses feel naturally tailored, accurate, and trustworthy.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google . Define the multi-quarter product strategy and roadmap for Personalization Quality across Search AI surfaces. Establish key quality metrics, design rigorous experiments, and develop evaluation methodologies to guide data-driven modeling and product decisions. Conduct analysis of model responses, live experiments, and user feedback to identify quality patterns and translate them into concrete product requirements. Partner with Engineering and Research to guide model improvements, prompting strategies, and orchestration logic that elevate response relevance and helpfulness. Drive alignment and execution across Engineering, Research, UX, and cross-functional partners while ensuring user trust, transparency, and privacy are upheld across all features. Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or a related technical role. 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc). Experience in AI/ML, Large Language Models (LLMs), recommendation systems, or search quality. Preferred qualifications: Master's degree in a technology or business related field. 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders. Experience analyzing evaluation data and query logs to synthesize quality trends into product insights. Experience shipping products in rapidly evolving technical domains. Familiarity with model evaluation techniques, autoraters, or offline/online experimentation. Bachelor's degree or equivalent practical experience. 8 years of experience in product management or a related technical role. 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc). Experience in AI/ML, Large Language Models (LLMs), recommendation systems, or search quality.