Companies that use WorkOS

Source: Analysis of 100 job postings that mention WorkOS

I noticed that while 10% of roles are leadership positions like VP of Information Security and Director of Product Management who make purchasing decisions, the remaining 90% are individual contributors who implement and use WorkOS daily. The buyers are primarily security and product leaders focused on enterprise readiness, with strategic priorities around authentication, identity management, and making their products scalable for large customers. The emphasis on SSO, SCIM, and RBAC across multiple postings suggests these leaders are solving for enterprise sales requirements.

The day-to-day users are predominantly backend and full-stack engineers building authentication systems, identity platforms, and enterprise features. These practitioners are implementing SSO workflows, building IAM systems, and integrating WorkOS into their products to handle user authentication and authorization. One role specifically describes building systems that support SSO, SCIM, RBAC, and identity federation, while another mentions using WorkOS alongside other API-first tools like Stripe and Algolia.

The core pain point is achieving enterprise readiness without building everything from scratch. Companies want to help developers implement authentication, identity, authorization, and overall enterprise readiness quickly. One posting describes the need to design intuitive, beautiful web interfaces for highly technical users who will stress-test every workflow, integration, and permission model. Another emphasizes building turnkey platforms that just work out of the box but remain flexible enough to support sophisticated use cases. These companies are racing to serve enterprise customers while maintaining developer-friendly experiences.

Source: Analysis of tech stacks from 478 companies that use WorkOS

I noticed that WorkOS users are overwhelmingly modern B2B SaaS companies in their growth stage, specifically those building developer-focused or technical products. The combination of Vercel Pro, Framer, and WorkOS itself tells me these companies are shipping fast with modern infrastructure and care deeply about developer experience. They're the kind of startups that choose best-in-class point solutions over enterprise suites.

The pairing of Vanta and WorkOS is particularly revealing. Both tools help companies sell to enterprise customers. Vanta automates security compliance while WorkOS handles enterprise authentication features like SSO and directory sync. Together, they let relatively small engineering teams check the boxes that enterprise buyers demand without building everything from scratch. The presence of Ashby, a recruiting platform popular with high-growth startups, suggests these companies are actively hiring and scaling their teams. UnifyGTM appearing so frequently points to companies that are serious about their sales operations and pipeline management, even if they're still relatively early stage.

The full stack reveals a product-led growth motion that's transitioning upmarket. These companies likely started with self-service signups and freemium models, which explains the focus on fast, modern web infrastructure. But now they're pursuing enterprise deals, hence the compliance and authentication tools. They're probably at that critical inflection point between 50 and 500 employees where selling to larger customers becomes essential for growth. The incident.io correlation suggests they're running always-on services where reliability matters to their brand and customer trust.

Source: Analysis of Linkedin bios of 478 companies that use WorkOS

I noticed that WorkOS customers are predominantly B2B software companies building developer tools, AI infrastructure, and enterprise SaaS platforms. These aren't consumer apps. They're creating products like "AI-powered visual quality control," "blockchain-based traceability solutions," and "all-in-one recruiting platforms." Many are building technical infrastructure that other businesses depend on: authentication systems, data platforms, API tools, and workflow automation. A surprising number are AI-first companies, either embedding AI into existing workflows or building entirely new AI agent platforms.

These are predominantly early to mid-stage startups. About 60% have fewer than 50 employees, with many in the 2-10 range. Funding stages cluster around seed and Series A, with amounts typically between $3M and $25M. A few larger players exist (like Anyscale at 400+ employees or Laravel with Series A funding of $57M), but the modal company is a venture-backed team of 10-30 people trying to reach product-market fit and scale their first major customers.