Multichannel outbound sales engagement platform with AI-driven prospecting
lemlist builds outbound prospecting software on a Node.js, TypeScript, React and MongoDB core, with LangGraph, LangChain and SentenceTransformers pointing to agentic AI work on prospecting and pipeline generation. Hiring is accelerating with an engineering-led mix plus a sales push, matching a stated shift from product-led growth toward an outbound sales motion and a US sales playbook.
lemlist is a Paris-based, privately held software company founded in 2018 that sells outbound sales tooling to sales teams. The platform covers targeting, verified contact discovery and multichannel engagement, accessible from the product itself, from a CRM, or through an AI assistant. The company employs 51–200 people and hires in France and Bulgaria. Its stack runs on GCP with BigQuery, Snowflake, dbt Core and Apache Airflow for data, and integrates with HubSpot and Salesforce.
lemlist uses Node.js, TypeScript, React and MongoDB on GCP, with BigQuery, Snowflake, dbt Core and Airflow for data, plus LangGraph, LangChain and PyTorch for AI work.
Yes. Hiring is accelerating and led by engineering, with additional roles in sales, data and product, mostly at senior and mid levels, in France and Bulgaria.
lemlist is building an AI-native agentic prospecting system with evaluation guardrails and context engineering, plus an outbound sales engine and a US sales playbook.
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lemlist'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.