Clay combines data enrichment with workflow automation for sales and marketing teams. The stack—Fivetran, Segment, Snowflake, dbt, Dagster—shows a data-pipeline-first architecture feeding into customer-facing workflows. Active hiring across sales (47 roles) and engineering (27) alongside projects in AI-powered enrichment and workflow infrastructure signals scaling both product capability and GTM motion; concurrent work on enterprise co-sell frameworks and partner-led expansion indicates a shift toward channel-driven growth.
Notable leadership hires: Chief of Staff
Clay is a go-to-market platform that combines enriched, first-party data with automated workflows. The product serves sales and marketing teams at mid-market and enterprise companies, enabling them to operationalize data for outbound prospecting, lead enrichment, and account-based campaigns. The company is headquartered in New York with 201–500 employees. Current initiatives span product (AI-powered enrichment, workflow design), GTM (vertical playbooks, enterprise co-sell framework, outbound process design), and operations (scalable legal processes, corporate governance). Active challenges include pipeline quality, deal velocity, and partner engagement.
Clay uses Fivetran, Segment, Snowflake, dbt, and Dagster for data pipelines; React, Node.js, TypeScript, and JavaScript for frontend/backend; PostgreSQL and Redis for persistence; and Salesforce, HubSpot, and Ashby for operational tools.
Clay is based in New York, NY and employs 201–500 people. It also hires in Canada and the United Kingdom.
Clay'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.