GEORGE LU
Product Manager, AI/ML & Recommendation Systems
About
Seasoned Product Manager with 8 years of experience building and scaling high-stakes AI systems at a billion-user scale, specializing in recommendation engines, search relevance, and algorithmic interpretability. Proven track record of driving products from 0-1 to market, generating over $100M+ ARR, and currently leading user signal innovation for Facebook Reels. Expertly translates complex human intent into explicit ranking signals to create user-steerable systems that deliver meaningful control and significant business impact.
Work
Meta
|Product Manager
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Summary
Spearheaded product strategy and execution for Facebook Reels, focusing on user feedback, AI transparency, and global content discovery to enhance engagement and personalization for billions of users.
Highlights
Defined and owned the strategic roadmap for Facebook Reels' explicit user feedback signals portfolio, consistently driving topline wins on app sessions through highest-weighted ranking features.
Led the 0→1 strategy and execution of "Tune Your Algo," an AI-powered transparency product that empowered users with direct control over Reels ranking, navigating complex ML, policy, and design alignment.
Launched Facebook Reels Explore globally from 0→1, providing a personalized discovery surface that enabled billions of users to actively explore interests beyond algorithmic feeds.
Indeed
|Product Manager
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Summary
Directed personalized search ranking strategy and product development for Indeed's core products, leveraging ML and data science to significantly improve jobseeker outcomes and reduce complaints.
Highlights
Defined and led personalized search ranking strategy across Indeed's core products, shipping a negative preference collection flow that reduced jobseeker complaints by 75%.
Drove a systematic experimentation roadmap spanning ML model tuning and explainability, increasing global jobseeker positive outcomes by 10% and sponsored applies by 5%.
Led the 0→1 development and cross-company alignment for the Match Engine, a centralized real-time scoring platform evaluating billions of jobseeker-job pairs daily.
Indeed
|Product Manager (Assessments)
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Summary
Developed and executed growth strategies for Indeed's Assessments product, significantly improving hiring efficiency and reducing employer friction through strategic feature development and international expansion.
Highlights
Defined and executed growth strategy for the Assessments product, reducing enterprise employers' average time to hire by 12% and increasing jobseeker callback likelihood by 20%.
Led international expansion of Assessments to 21 new countries, increasing employer opt-in by 42% and jobseeker-completed assessments by 10x through strategic A/B testing.
Shipped a self-serve assessment resend feature, eliminating a key source of employer friction and reducing customer service tickets by 93%.
Education
University of Michigan Ann Arbor
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B.S.
Information Analysis
Grade: 3.8/4.0
Courses
Minor in Computer Science
Languages
English
Skills
AI/ML Product Development
AI/ML Product Development.
Ranking and Recommendation Systems
Ranking and Recommendation Systems.
LLMs
LLMs.
Personalization
Personalization.
Large-Scale Experimentation
Large-Scale Experimentation.
SQL
SQL.
Python
Python.