Product Engineer - Radar

United StatesRemote

Requirements

WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Vercel, 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.
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,
Experience in B2B SaaS, developer tools, or a related industry
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.

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.
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: