AI-driven customer intelligence and user research platform for product teams
Dovetail turns customer interactions into searchable insight for product, design and research teams, built on TypeScript, React, Node.js and GraphQL over PostgreSQL/Aurora on AWS EKS and ECS with Pulumi and Terraform. Bedrock, Anthropic and SageMaker in the stack point to an LLM-centric product core. Senior-weighted, marketing-led hiring plus enterprise demand, ABM and AI governance projects signal a push upmarket into security-conscious enterprise buyers.
Dovetail, founded in 2017 and headquartered in Sydney, builds a customer intelligence platform that centralizes feedback and customer interactions and converts them into insights usable across a business. Its core users are product managers, designers and user researchers doing product discovery. The privately held company has 51–200 employees, with offices in Sydney and San Francisco, and hires in Australia and the United States. Go-to-market runs on HubSpot, Gong, Sales Navigator, Google Ads and LinkedIn Ads, with Intercom and Zendesk supporting customers.
Dovetail uses TypeScript, React, Node.js, GraphQL, PostgreSQL and Aurora on AWS (EKS, ECS), with Pulumi and Terraform for infrastructure, ProseMirror for editing, and Bedrock, Anthropic and SageMaker for AI.
Yes. Marketing leads Dovetail's accelerating, mostly senior hiring, tied to enterprise demand planning, account-based marketing and paid acquisition work, alongside engineering, design and sales roles in Australia and the US.
Dovetail is building an AI-powered growth and demand engine, enterprise go-to-market and ABM programs, a product-led sales strategy, compliance automation tooling, an AI governance framework and its design system.
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Dovetail'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.