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AI Job Summary

Lead product strategy for AI-personalized image feeds within search, overseeing quality metrics, latency optimization, and user preference modeling. Build evaluation frameworks and autoraters to measure AI accuracy and helpfulness. Collaborate with engineering on recommendation algorithms and ranking systems. Requires a bachelor's degree, eight years in product management or related technical roles, and three years shipping technical products from conception to launch, with demonstrated experience in recommendation systems or feed ranking.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • 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.

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 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.
  • 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 software engineering for recommendation systems or feed ranking architectures.
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  • Role Senior Product Manager, Images Feed Quality, Google Search
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

222K – 285K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 103 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
5 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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