Atlan builds infrastructure that connects metadata, lineage, and governance into a unified graph—positioned as the context layer for AI systems working with enterprise data. The tech stack reflects dual motion: a sales-driven go-to-market (Salesforce, Outreach, Demandbase, Ashby) paired with a data and analytics foundation (Snowflake, BigQuery, dbt, Databricks, Fivetran). Hiring velocity is accelerating across security, data, and customer success, aligned with projects around implementation scaling and active metadata management—suggesting investment in both product depth and customer outcomes as they expand into larger data estates.
Tech Stack 43 technologies
Core StackSalesforce Snowflake BigQuery Tableau Looker dbt Docker Kubernetes AWS Asana Confluence Slack Python Go Prometheus Fivetran Databricks ArgoCD HubSpot Demandbase Okta Ashby Greenhouse Outreach Sales Navigator GCP Azure HiBob X Linear+12 more
What Atlan Is Building
◆Challenges
- Data volume and complexity
- Lack of reliable ai foundation
- Data chaos
- Complex data estates
- Lack of dedicated it support
- Security gaps across cloud platforms
- Recurrent security findings
▲Active Projects
- Hris audit support
- Compliance documentation buildout
- Intake triage
- Outbound motion development
- Active metadata management movement
- Customer adoption and roi
- Product direction and gtm strategy
- Complex implementation projects
- Implementation roadmaps
- New hire onboarding and offboarding experience
Hiring Activity
8 roles · 4 in 30d
Department
Seniority
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