Technical hiring platform for live coding interviews and skill assessments
CoderPad builds a technical interview and assessment platform on React, TypeScript, Ruby on Rails and PostgreSQL, wiring in models from OpenAI, Anthropic, Gemini, Llama and Mistral to bring real-time AI into interviews. Hiring is accelerating and split between senior engineering and sales, while job posts point to churn and expansion pressure alongside a MEDDPICC rollout and an account-based outbound push in North America.
CoderPad offers software that talent acquisition and engineering teams use to screen and interview developer candidates. The platform covers the hiring flow from initial screening through final interviews, with features built for both candidates and recruiters. The company is privately held, headquartered in San Francisco, and employs 51–200 people. It hires across the United States, Ireland, France and Mexico. Infrastructure spans AWS, GCP, Heroku and Kubernetes, with Salesforce, HubSpot, Gong and Apollo supporting its sales organization.
CoderPad uses React, TypeScript, Ruby on Rails, Node.js, Go, Java and PostgreSQL, deployed on AWS, GCP, Heroku and Kubernetes with Terraform, GitLab CI/CD, Datadog, Prometheus and Grafana.
Yes. Its stack includes OpenAI, Anthropic, Gemini, Llama and Mistral, plus Cursor and Codex for AI-assisted coding, supporting real-time AI experiences in interviews and assessments.
CoderPad is hiring in the United States, Ireland, France and Mexico, with open roles across engineering, sales and support, mostly at senior level.
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CoderPad'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.