Merge sells a unified integration layer that lets AI products read business data and act across SaaS systems in categories like HRIS, ATS, CRM, accounting and ticketing. Its polyglot stack (Django, Rails, Spring, Go, TypeScript on AWS and Kubernetes) reflects connectors built across many ecosystems, while job posts flag data-sync performance bottlenecks. Hiring is decelerating but stays engineering-led, with launches of Merge Unified, Agent Handler and Gateway in focus.
Merge, founded in 2020 and headquartered in San Francisco, builds integration and AI infrastructure for software teams. Its platform gives AI applications access to customer business data, the ability to take actions in third-party SaaS tools, and controls over how models run in production. Customers range from AI-native product teams to large enterprise engineering organizations that would otherwise build integrations in-house. The privately held company has 51–200 employees and hires in the United States and Germany.
Merge uses Python, Go, TypeScript, Django, Ruby on Rails and Spring, with PostgreSQL, Redis and Elasticsearch on AWS, Kubernetes, Docker and Terraform. Go-to-market tools include Salesforce, Outreach and Gong.
Job posts point to launches of Merge Unified, Agent Handler and Gateway, enterprise-grade integrations across seven categories, an integration lifecycle strategy, and data quality and internal tooling work.
Merge hires in the United States and Germany. Engineering is the largest focus, followed by support and sales, though overall hiring velocity is decelerating.
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Merge'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.