The Radar team builds our real-time identity intelligence layer that helps developers detect risk, prevent threats, and protect their apps. Radar ingests high-volume authentication and identity events, enriches them with signals, and powers workflows that customers use to take action: enforcing challenges, blocking suspicious behavior, or triggering reviews
Our mission is to give developers a turnkey platform for identity security and risk evaluation. The hard and interesting part for engineers is detection quality: catching real threats with high precision and very few false positives, in real time, against adversaries who are actively trying to get around us
Engineers on Radar care deeply about correctness, performance, observability, detection quality, and the developer experience. We measure our work by real impact, often in the millions of dollars of fraud and abuse we save customers
The engineers who thrive here are fascinated by data. Radar serves some of the fastest-growing AI companies in the world, which gives us one of the richest fraud-and-abuse datasets in the identity space
Design and build performant, resilient systems for real-time identity event processing
Craft intuitive APIs and developer workflows that make Radar easy to adopt
Dig into large-scale authentication data to find fraud and abuse patterns, then design, test, and measure the signals and models that detect them
Develop a deep understanding of the identity-security landscape and shape Radar’s product direction
Work directly with customers, including some of the biggest names in AI, to understand their fraud problems, prototype solutions for them, and become a trusted expert they rely on
Maintain a strong focus on reliability, security, correctness, and observability across the stack
Collaborate with other product teams, solutions engineering, and our go-to-market team
Work directly with leadership on greenfield ideas
Help recruit and assess future engineering team members