Home services marketplace matching homeowners with local pros
Thumbtack runs a consumer home-services marketplace on Go, Python, PHP and PostgreSQL, with native Swift and Kotlin apps and a lifecycle stack of Braze, Iterable and Pardot. Codex, Cursor, MCP and Backstage in the stack, plus projects around agent observability and a core AI platform, point to an AI-native engineering push. Marketing leads an accelerating hiring mix, while NetSuite, Coupa and Navan adoption signals a finance back-office overhaul.
Notable leadership hires: Director Marketing
Thumbtack operates an app that helps U.S. homeowners plan, maintain and improve their homes and hire local service professionals for repairs, maintenance and larger projects. The marketplace connects consumers with a community of local service businesses across the country. The company is privately held, headquartered in San Francisco, California, and employs between 1,001 and 5,000 people. It hires in the United States, Canada and the Philippines across marketing, engineering, product, finance, sales, HR, security and design.
Thumbtack uses Go, Python, PHP, Java, TypeScript and React, with Swift and Kotlin for mobile, PostgreSQL, MySQL and DynamoDB for data, Looker and Tableau for analytics, and Salesforce, Braze and Iterable for go-to-market.
Yes. Marketing is Thumbtack's largest hiring area, including a Director Marketing role, alongside engineering and product. Hiring velocity is accelerating across the United States, Canada and the Philippines.
Thumbtack is building core AI platform capabilities, observability tooling for agent behavior, AI-assisted FP&A automation and AI-driven brand process automation, while adopting NetSuite, Coupa and Navan.
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Thumbtack'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.