Jobs · Engineering · California

Senior Product Manager, Images Feed Quality, Google Search

Google · Mountain View, CA · 2 days ago
On-siteEngineeringFull-time

About the role

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.

Responsibilities

  • Oversee secure, privacy-compliant systems that dynamically surface relevant user data to ground and personalize AI responses.
  • Lead the "Quality Hillclimbing" roadmap, balancing high-quality personalization metrics against feed load latency to ensure optimal speed.
  • Develop context-specific autoraters and evaluation frameworks to continuously measure AI accuracy, helpfulness, and performance.
  • Define intelligence strategies that leverage search interactions to build a continuously evolving, consistent understanding of user preferences.
  • Collaborate on technical strategies utilizing state-of-the-art modeling techniques (e.g., Gemembed, Generative Retrieval) to advance the recommendation stack and feed growth.

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in product management or 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 software engineering for recommendation systems or feed ranking architectures.

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.
  • 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  • 4 years of experience in a role preparing and delivering technical presentations to senior leadership.
  • Experience translating advanced machine learning research into highly stable, consumer-facing feeds and recommendation products at global scale.
  • Deep technical understanding of retrieval, ranking techniques, value modeling, and the nuances of large-scale recommendation systems.

Benefits

Google offers a comprehensive benefits package including individual pay determined by factors such as job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits.

Pay

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Schedule

N/A

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