Senior Product Manager, Discover Recommendations

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.

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.

• 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 + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES

• 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.