Junbiao Tang
Senior Director of Engineering, Generative AI Monetization @ Meta
About
Senior engineering leader with 20+ years at Meta and Microsoft Bing, building and scaling high-impact organizations at the intersection of AI/ML, advertising, and generative AI. Currently leading Monetization GenAI (MGenAI), a 370+ engineer organization delivering AI-powered business agents and generative creative products that drive billions in incremental revenue. Track record of building teams from zero to hundreds, shipping industry-first products, and navigating complex cross-organizational landscapes to deliver outsized business results.
United States
Bellevue
Computer Software
Reinforcement Learning, Generative AI, Agentic AI Development, Image GenAI, Video GenAI, Machine Learning, Search, Information Retrieval, Software Engineering, Algorithms, Distributed Systems, Search Engines, Data Mining, Big Data, Software Design, Scalability, MapReduce, Computer Science, Hadoop, Object Oriented Design
Experience

Senior Director of Engineering, Generative AI Monetization
Seattle, WA
Lead a 370+ engineer organization responsible for AI-powered business solutions across three major pillars: Business AI Agents, Creative GenAI, and ML Infrastructure. Built and launched Meta's Business AI Agents across WhatsApp, Messenger, Instagram, and Facebook — enabling businesses to deploy AI-powered sales and support agents at scale Architected a flexible agentic framework with dynamic model configuration, allowing businesses to customize agent behavior, tone, and knowledge — creating a true turn-key AI solution Led a major turnaround in creative AI capabilities — closing the gap from far behind state-of-the-art to within a few percentage points of SOTA, despite lagging foundational models Achieved 24% total product adoption across image generation, video generation, and text variant products Delivered billions of dollars across business AI and creative GenAI products Built the organization from the ground up to 370+ engineers with high talent density in scarce AI/ML expertise Developed a leadership bench of multiple Directors , grew a few IC7→IC8 and M2→D1 leaders Navigated complex cross-org collaboration across 5+ VP-led organizations with distinct incentive structures

Director Of Engineering, Ads Ranking
Bellevue, WA
Redesigned machine learning stack end to end to protect user privacy while delivering best ads experience to users. Leading a team on novel machine learning directions in privacy preserving ML including Federated Learning, learning from aggregates, multi-party computation ML. Delivered 10+ Billion incremental revenue for Meta. Machine learning for Ads optimization. Architect and lead team for Facebook Audience Network delivery. Optimizing delivery efficiency with big data and machine learning. Offering industry best CPM across all mobile ad networks. Facebook ads ranking, leading a team working on prediction models for conversion events, ads creative. Solving cutting edge machine learning problems to improve facebook ads efficiency.
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