API platform for enterprise identity and access control features
WorkOS provides a unified API for enterprise-grade features—SSO, SCIM directory sync, audit logs, and identity management—that SaaS teams would otherwise build in-house. The stack reflects a modern, polyglot backend (TypeScript, Python, Go, Ruby, Node.js, PostgreSQL on AWS) paired with heavy use of identity tooling (Okta, Kandji) and infrastructure-as-code (Terraform), indicating mature operational practices. Active hiring across engineering and sales, with notable focus on detection engineering and encryption capabilities, suggests the company is scaling both product depth (compliance/security) and enterprise GTM motion simultaneously.
WorkOS is an API-first platform enabling SaaS companies to add enterprise features without building them from scratch. The product surface covers user management, single sign-on, directory sync (SCIM), and audit logging—capabilities that traditionally consume months of engineering effort in companies pursuing upmarket deals. Founded in 2019 and based in San Francisco, the company operates at 51–200 employees with an engineering-forward organizational structure and accelerating hiring velocity. Current product roadmap includes field-level and end-to-end encryption, detection engineering for security, and a Next.js library (AuthKit), alongside conversion and revenue experiments focused on the enterprise segment.
Backend: TypeScript, Python, Go, Ruby, Node.js, PostgreSQL, AWS. Infrastructure: Terraform, Envoy. Identity: Okta, Kandji. DevTools: Slack, Notion, Figma. Frontend: React, Radix UI.
Current projects include field-level and end-to-end encryption, detection engineering capability, a Next.js library (AuthKit), conversion experiments, and community feedback integration. Internal challenges include scaling the engineering team and managing high-volume authentication events.
WorkOS's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.