Atlan builds a metadata and governance graph that feeds business context to AI systems working on enterprise data, with integrations spanning Snowflake, Databricks, BigQuery, dbt and Fivetran. Hiring is accelerating and skews senior, split between sales and security, while job posts focus on automating security reviews beyond what Vanta covers. That pattern suggests enterprise deal friction around customer security assessments is a live bottleneck.
Atlan, founded in 2019 and headquartered in San Francisco, develops a platform that unifies metadata, data lineage, governance and semantic definitions so AI agents can interpret enterprise data correctly. Its specialties cover data cataloging, governance, lineage and DataOps for data teams at large enterprises. The privately held company employs 201–500 people and hires across the United States, Ireland and India. Its platform runs on Kubernetes across AWS, GCP and Azure, with engineering in Python and Go.
Atlan runs Kubernetes, Docker and ArgoCD across AWS, GCP and Azure, builds in Python and Go, uses Temporal and Apache Iceberg, and sells with Salesforce, Outreach, HubSpot and Demandbase.
Yes. Security is a core hiring focus alongside sales, with senior-leaning roles centered on compliance automation, zero trust architecture and reducing manual security review work.
Atlan hires in the United States, Ireland and India, with headquarters in San Francisco.
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Atlan'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.
