Summary
Jade Feng is a product manager with 11 years of experience building AI/ML-driven safety and creator monetization systems across major platforms including Meta and YouTube. She has a strong track record of taking zero-to-one products to scale—launching Content Protect used by 2M+ creators and leading systems that cut abuse by 60%+ while reducing enforcement latency from days to minutes. Her work blends technical rigor (LLM-powered classification, abuse detection) with commercial impact, unlocking multi-million dollar operational savings and ensuring compliance with billion-dollar media contracts. Prior roles at Checkr and Okta showcase her ability to ship international and enterprise-grade user experiences, while an early software engineering background keeps her comfortably hands-on. Trained in actuarial science and quantitative economics, she brings a data-first, risk-aware approach to product decisions that often reveals hidden cost and fraud vectors. Based in San Francisco and with a global perspective from studies and work across Australia, Europe, and the U.S., she specializes in aligning cross-org investments to measurable revenue and safety outcomes.
11 years of coding experience
9 years of employment as a software developer
Economics and French, Economics and French at Sciences Po
North Sydney Girls High School
UNSW Sydney
Actuarial Science and Finance, Actuarial Science and Finance at The Wharton School
Web Development Immersive, Web Development Immersive at General Assembly
Retention and Engagement Deep Dive, Retention and Engagement Deep Dive at Reforge
London School of Economics and Political Science