🚀 JOIN THE FUTURE OF COMMERCE WITH WHATNOT!
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values https://www.whatnot.com/careers and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces https://a16z.com/marketplace-100/ and were recently named the #1 Best Startup Employer in America http://google.com/search?q=%231+forbes+startup+employer&oq=%231+forbes+startup+employer&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIGCAEQRRg9MgYIAhBFGD0yBggDEEUYQDIGCAQQRRhAMgYIBRBFGEDSAQg1NzM0ajBqMagCALACAA&sourceid=chrome&ie=UTF-8 by Forbes. Check out the latest Whatnot updates on our news https://blog.teamwhatnot.com/ and engineering blogs https://medium.com/whatnot-engineering and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
💻 ROLE
The Fraud Experience team builds intelligent, real-time systems that safeguard Whatnot’s marketplace from malicious activity. We design, develop, and deploy end-to-end, ML-driven systems that proactively identify and mitigate fraud — blending real-time detection with transparent, user-centered enforcement.
What You'll Do
- Lead the full architecture of fraud detection, prevention, and intervention systems — spanning machine learning, backend, and client-side components.
- Build intelligent user graphs to model behavioral patterns, detect collusion networks, and uncover account connectivity at scale.
- Design, train, and deploy both traditional ML and LLM-powered models to detect fraudulent activity across users, payments, and marketplace interactions.
- Develop scalable data pipelines and real-time inference systems capable of supporting high-volume, low-latency ML workloads.
- Create human-in-the-loop systems that continuously refine detection accuracy and adapt to evolving adversarial tactics.
- Perform deep behavioral and adversarial data analysis to surface emerging fraud trends and drive continuous system improvement.
- Stay ahead of the curve by translating new insights into adaptive, production-ready systems that evolve as fast as our adversaries.
We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Los Angeles, New York, San Francisco or Seattle hub.
👋 You
People who do well at Whatnot ten