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Product Engineer - Radar

Location
United States & Canada
Compensation
Not disclosed
Level
senior
Type
full time · Remote

Posted by employer 9 months ago

First seen on Joblaze 6 months ago

Last verified on the company career page 12 minutes ago

Requirements

Experience
5+ years

Not disclosed in this posting: compensation, visa sponsorship.

Benefits

401k Match Unlimited PTO Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

In the role of Product Engineer on the Radar team at WorkOS, the individual will focus on designing and building systems for real-time identity event processing, ensuring security and performance. Key skills include experience with large-scale systems and event-driven architectures, with a preference for familiarity with TypeScript and React. This position is ideal for seasoned engineers who thrive in fast-paced environments and possess a strong understanding of identity security. WorkOS, a rapidly growing company, is at the forefront of developer tools for enterprise readiness.

Joblaze insights

  • Listed about 6 months ago — first seen on Joblaze April 16, 2026. Last confirmed on WorkOS's careers page November 4, 2026.
  • PostgreSQL appears in 24.6% of 512 comparable senior backend roles in United States; React appears in 10.5% of 512 comparable senior backend roles in United States.

Quick facts

Is the Product Engineer - Radar role remote?
Yes — WorkOS lists this as a fully remote position.
How much experience is required?
At least 5 years of relevant experience for this Product Engineer - Radar role.
What's the tech stack?
Joblaze extracted these technologies from the posting: PostgreSQL, React, TypeScript.
What seniority level is this role?
WorkOS targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Product Engineer - Radar role at WorkOS.

From the original posting

About WorkOS 🚀

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) 💖

 
  • 401k matching

  • Competitive Equity

  • Healthcare, dental and vision coverage

  • FSA, ST/LT Disability, Voluntary Life

  • Carrot fertility benefits

  • 12 weeks fully paid parental leave

  • Commuter benefits for hybrid employees in SF/NYC

  • Unlimited token usage!

 

Standard company text repeated across WorkOS's postings is omitted here.

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