Recruiting and hiring software for scaling, high-growth companies
Ashby builds recruiting software for fast-growing companies, and its hiring mix is heavily weighted toward engineering and design, with staff- and senior-level roles dominating. Job posts point to product depth work such as a DSL-to-SQL compiler and a composable design system. They also show a push upmarket through enterprise go-to-market refinement and APAC customer success. Hiring velocity is decelerating, and roles are spread across a wide set of European and APAC countries.
Ashby is a privately held software company headquartered in San Francisco, founded in 2018, with 201–500 employees. It builds people software focused on hiring, helping companies run faster and more efficient recruiting processes. Its product covers areas such as interview design and automated interview scheduling. Ashby sells to scaling, high-growth companies and is developing an enterprise sales motion with professional services. The company hires across North America, Europe and Asia-Pacific.
Ashby's stack includes React, Figma, Snowflake and Datadog for product and engineering, Linear and Jira for planning, and HubSpot, Salesforce, Gong and Apollo for sales. Okta, Kandji and CrowdStrike cover IT and security.
Ashby hires in the United States, Canada, the United Kingdom, Spain, Germany, France, Poland, the Netherlands and other European countries. It also hires in Singapore, Japan, South Korea, Australia and the Philippines.
Ashby is building composable UI components and a design system, and optimizing a DSL-to-SQL compiler. It is also automating interview scheduling, redesigning its mobile web app and refining its enterprise go-to-market motion.
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Ashby'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.