Matillion builds Maia, an AI agent platform that automates building and maintaining data pipelines across Snowflake, Databricks, BigQuery and Redshift. Its stack spans AWS, GCP and Azure with Kubernetes, Terraform, Java, Go and Python, plus MCP and newly adopted Cursor and n8n, pointing to agentic tooling in both product and engineering. Hiring is accelerating and senior-heavy, split between engineering and sales, with sales work centered on shifting flexible billing to committed contracts.
Matillion is a privately held software company headquartered in Salford, Manchester, United Kingdom, with 201–500 employees. Its Maia platform uses AI agents to build, modify, optimize and maintain data pipelines, backed by a context layer for business rules and an enterprise foundation for security, governance and observability. The product serves data teams working across cloud warehouses and databases such as Snowflake, Databricks, BigQuery, Amazon Redshift, PostgreSQL, Oracle and SQL Server. The company hires across the United Kingdom, India, the United States and Australia.
Matillion runs on AWS, GCP and Azure with Kubernetes, AWS EKS, Docker and Terraform, codes in Java, Go, Python and React, tests with Cypress, Playwright and Pact, and uses Salesforce. It is adopting Cursor and n8n.
Yes. Hiring is accelerating, led by engineering and sales with some product and support roles, mostly at senior level, across the United Kingdom, India, the United States and Australia.
Job posts point to Maia product development, a Maia evaluation framework, AI-driven support automation, production-grade integrations, ML capability development and moving flexible billing customers to committed contracts.
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Matillion'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.