Agentic platform for building software apps from natural language
Replit runs an AI-driven app creation platform on a polyglot stack of TypeScript, Go, Rust and Python across GCP, AWS and Kubernetes, with Terraform and Pulumi for infrastructure. Hiring is engineering-heavy and senior-skewed, and job posts center on incident handling, recovery time and availability at scale. A full sales toolkit of Salesforce, Outreach, Gong and ZoomInfo points to a growing enterprise motion alongside self-serve use.
Notable leadership hires: Communication Lead, SEO Lead
Replit, founded in 2016 and headquartered in Foster City, California, offers a software creation platform where users describe applications in natural language and an AI agent helps plan, design and build them. It serves individual creators as well as a large base of business users. The privately held company has 201–500 employees and recruits across the United States, United Kingdom, France, the Netherlands, Italy, Japan, Bulgaria and Singapore. Teams span engineering, sales, support, marketing, product, security, design and legal.
Replit uses React, TypeScript, Node.js, GraphQL, Go, Rust, Python and PostgreSQL, running on GCP, AWS and Kubernetes with Terraform and Pulumi. Go-to-market tools include Salesforce, HubSpot, Outreach and Gong.
Yes. Engineering is Replit's largest hiring area, weighted toward senior and staff roles, with demand also in sales, support, marketing and security across the US, Europe, Japan and Singapore.
Replit's job posts point to work on Replit Agent, its cloud infrastructure, Kubernetes performance tuning, internal tooling automation and team collaboration features.
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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.