AI-powered IDE for building applications with natural language
Replit is a browser-based development platform where users write code and deploy applications using natural language prompts, backed by LLM guardrails and malicious-pattern detection. The hiring surge (86 roles open, accelerating) is weighted heavily toward security (14 headcount) and senior engineers (40 total), reflecting two operational realities: managing abuse and cryptomining on a free platform at scale, and building reliable AI code-generation guardrails as core product features.
Notable leadership hires: Brand Strategy Lead, Chief of Staff, Creative Art Lead, Production Lead
Replit operates an IDE-in-the-browser where millions of users build and deploy applications, with over 500,000 business users. The platform targets anyone from hobbyists to teams, removing friction from the traditional setup-and-deploy cycle by letting users describe applications in natural language and have the system generate and run the code. Core infrastructure runs on GCP and Kubernetes, with security tooling (HackerOne, Bugcrowd, OWASP) and incident-response processes integrated into the product workflow. Current focus areas include preventing infrastructure abuse (cryptomining, phishing deployments), scaling support for rapid user growth, and building enterprise governance and team collaboration features.
Replit runs on GCP and Kubernetes, with PostgreSQL for data persistence. Frontend is React/TypeScript/Node.js; backend uses Python, Go, and Rust. They use Linear for issue tracking, Slack for internal comms, Stripe for payments, and HubSpot + Salesforce for CRM.
Replit is hiring across United States, United Kingdom, Singapore, France, Netherlands, Italy, Japan, and Bulgaria—indicating distributed or expansion-stage hiring.
Replit'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.