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Product Engineer - Radar

WorkOS

United StatesFull-time$175–250K/yrPosted 7mo agoStill listed 2 days ago

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At a glance

Compensation
$175–250K/yr
Location
United States
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

WorkOS is seeking a Product Engineer for its Radar team to design and build high‑performance, resilient real‑time identity event processing systems. The role involves crafting intuitive APIs, analyzing large‑scale authentication data to detect fraud, ensuring reliability, security, and observability, and collaborating with customers and cross‑functional teams to shape product direction.

Skills & qualifications

RequiredNice to have

Skills

Software DevelopmentAPI DesignReliabilityData AnalysisReal Time SystemsFraud Prevention and DetectionMachine LearningProblem SolvingData at ScaleLarge‑Scale SystemsReal‑Time PipelinesEvent‑Driven ArchitecturesAnomaly DetectionFraud DetectionB2B SaaSDeveloper ToolsCommunicationEmotional IntelligenceIntellectual CuriosityGrowth Mindset

Qualifications

5+ Years Industry Software Development Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
Paid Time Off
401(k) Match

Full job description

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) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.

  • 401k matching

  • Competitive Equity

  • Healthcare, dental and vision coverage

  • FSA, ST/LT Disability, Voluntary Life

  • Carrot fertility benefits

  • 20 days paid vacation + 10 holidays + unlimited sick leave

  • 12 weeks fully paid parental leave

  • Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active

  • Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being

  • Commuter benefits for hybrid employees in SF/NYC

  • Unlimited token usage!

Please inquire directly with our recruiting team for benefits available to those working outside the US.

Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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