Clay builds a data-first platform for sales and marketing teams, combining enriched prospect intelligence with workflow automation. The stack—SQL, PostgreSQL, Redis, Elasticsearch, and dbt + Dagster for data pipelines—reveals a company prioritizing real-time data serving and transformation. Active hiring across sales (40 roles), engineering (26), and support (15) signals rapid customer acquisition and onboarding velocity, while the project list (AI-powered enrichment, GTM engine roadmap, high-volume recruiting) shows Clay is scaling both product and internal ops simultaneously.
Clay provides go-to-market teams with enriched prospect data and the ability to act on it through automated workflows. The product sits at the intersection of data enrichment (leveraging sources like LinkedIn and Fivetran integration) and workflow orchestration (Dagster pipelines, Streamlit dashboards). Founded in the U.S. and headquartered in New York, Clay operates with 201–500 employees and is actively hiring across sales, engineering, support, and product, with teams distributed across the United States, Canada, the United Kingdom, and India. The company is tackling internal scaling challenges around compliance, cost-efficiency, finance functions, and partner success.
Clay's core infrastructure runs on PostgreSQL, Redis, and AWS ECS. Data pipelines use dbt and Dagster. For data enrichment it integrates with LinkedIn and Fivetran. Frontend is React; analytics dashboards run on Streamlit and Cube.js. Internal tools include Rippling, Ashby, Slack, and Vanta.
Clay's roadmap focuses on AI-powered data enrichment, automated workflow building, expanding GTM capabilities into new teams, and high-volume recruiting. Internal projects include onboarding programs, compliance with global privacy laws, and finance function build-out.
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