
Brian Lee
Product leader building at the intersection of AI and operations.
About
12+ years in product and operations at Snap, Meta, YouTube, and Chainlink Labs.
Currently a 2x founder building AMI SOCIAL, an LLM-powered social health app, while advising AI startups including those in NVIDIA's Inception program.
UC San Diego alum. Robert T. Matsui Fellow. Passionate about AI, building culture & community, and shipping products that matter.
Current Work
AMI SOCIAL
Co-FounderBuilding an LLM-powered social health app that helps people build deeper, more meaningful relationships through AI-driven insights and personalized connection strategies.
AI Startup Advisory
AdvisorAdvising AI startups on product strategy, leveraging frontier models like Claude and Llama. Working with companies in NVIDIA's Inception program on 0-to-1 product development.
Experience
San Francisco, CA
Building an LLM-powered social health app that helps people build deeper, more meaningful relationships through AI-driven insights and personalized connection strategies.
San Francisco, CA
Driving AI product strategy leveraging frontier models (Claude, Llama) through prototyping and customer validation. Accepted into NVIDIA's Inception program for top AI startups.
- -Advising 0-to-1 development for private AI assistant hardware
- -Integrating local LLMs and open-source automation for privacy-first smart home experiences
New York, NY
Founding Product Operations leader driving cross-functional execution across 23+ teams.
- -Drove $63M ARR in Data Feeds with first-ever 100% SLA adherence
- -Shipped 254+ features through quarterly planning frameworks
- -Led 3 global 0-to-1 product launches generating $2.5M first-year revenue
- -Accelerated product delivery by 27%, reduced cross-team blockers by 50%
- -Scaled Product Operations team 3x
Los Angeles, CA
First TPM at Snapchat. Promoted 6 times in 5 years across Product Analyst, Release Management, and TPM roles.
- -Enabled 107M DAU increase through 1,400+ A/B tests and 162+ product OKRs
- -Saved $36M in infrastructure costs via cost-savings hackathon
- -Managed AI/ML-powered A/B testing console, coaching 1,100+ employees
- -Scaled systems infrastructure from 200 to 6,000+ employees
- -Reduced experiment velocity friction by 34%
San Bruno, CA
Promoted to Privacy Point-of-Contact within three months. Created 6 global review tools impacting 67,000+ support tickets.
Menlo Park, CA
Filed the most operational improvements from a 10-person team. Enforced trust and safety policy at scale for 1.28B+ users.
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