Lusha operates a data-intensive sales platform combining lead intelligence with outbound execution — Snowflake, Databricks, dbt, Kafka, and BigQuery form a heavy data foundation, while Salesforce, HubSpot, Outreach, and Braze handle go-to-market ops. The hiring surge is heavily skewed toward data roles (5 open), reflecting active investment in BI automation, ELT pipelines, and warehouse performance — core pain points suggesting the platform is hitting scale limits on data velocity and governance rather than product-market fit.
Lusha is a sales intelligence and lead-generation platform serving inside sales teams at mid-market B2B companies. The product centers on automated lead capture, enrichment, and outbound execution — combining prospecting automation with AI-driven cadence optimization to reduce manual lead work for salespeople. The platform sits between CRM tools (Salesforce, HubSpot) and outbound execution layers (Outreach, Braze), handling lead routing, data enrichment, and campaign orchestration. Founded in 2016 and based in Boston, the company operates across the US and Israel, with 201–500 employees.
Lusha uses Snowflake, Databricks, BigQuery, and dbt for data warehousing and transformation; Python, Apache Spark, and Kafka for processing; Tableau, Looker, and Power BI for analytics; Salesforce, HubSpot, and Outreach for CRM and sales execution; and AWS, GCP, Azure for cloud infrastructure.
Current projects include BI data foundations redesign, ELT pipeline development, BI automation lifecycle improvements, AI-driven prospecting enhancements, and revenue/pipeline forecasting models — indicating focus on data infrastructure maturation and AI feature expansion.
Lusha'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.