Senior Product Manager, Discover Recommendations

Define the product strategy and roadmap for the recommendation systems that form the core of the Google Discover experience.Define success metrics, design experiments, and own the key performance indicators that drive iterative improvements in personalization and data-driven decision-making.Conduct in-depth analysis to identify trade-offs and win or loss patterns in our recommendations, translating these insights into actionable product requirements for our recommendation systems.Drive initiatives that balance relevance and novelty, expertly managing exploration versus exploitation to maximize long-term user satisfaction.Partner with engineering, research, experience, and go-to-market teams to translate product strategy into clear requirements and a prioritized roadmap. 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 working with recommender systems, personalized discovery, or Machine Learning (ML) based products.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.Product management experience shipping consumer-facing feed recommendation systems, search quality, or personalized discovery products at scale.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 a Senior Product Manager, you will solve large-scale recommendation and relevance challenges. You will blend deep technical intuition with sharp product sense, understanding the complex algorithmic trade-offs required to maximize user satisfaction. They bring experience solving search quality, ranking, or retrieval problems with a relentless focus on user value. You will build systems that deeply understand user interests and predict engagement. You will work with engineering teams, help drive deep-learning ranking models beyond click-through rates to optimize for scroll depth and meaningful user engagement. You will partner closely with Engineering and Research to translate complex Machine Learning infrastructure (deep models, feature streaming, scoring efficiency) into intuitive consumer product metrics.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 + benefitsLearn more about benefits at Google.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 working with recommender systems, personalized discovery, or Machine Learning (ML) based products.