Product Engineer - Radar

About WorkOS 🚀

WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.

About the role 💭

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.

Responsibilities ✔️

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

Qualifications 🌟

5+ years of industry software development experience

Comfort working with data at scale - querying, analyzing, and drawing sound conclusions from large datasets

Background in large-scale systems, real-time pipelines, or event-driven architectures

Intellectually curious and data-driven, with a scientific mindset - you like forming hypotheses, testing them against data, and measuring the impact of what you build

A growth mindset, high emotional intelligence, and strong communication skills

Bonus: Experience with machine learning, anomaly detection, or fraud and abuse detection

Bonus: Experience in B2B SaaS, developer tools, or a related industry

Benefits and Perks ( US Only) 💖