Digital market intelligence platform for web, audience and competitive data
Similarweb sells digital intelligence data spanning web traffic, audiences, ecommerce and competitive research to brands, sales teams and investors. Its stack pairs Spark, Databricks, Airflow, Snowflake and Firebolt for large-scale data processing with LangChain and LangGraph, pointing to LLM-driven features built on top of its datasets. Hiring leans sales and data over engineering, with churn reduction and account expansion recurring as commercial pressures.
Notable leadership hires: Backend Tech Lead, Head of Inside Sales
Similarweb is a public company founded in 2009 and headquartered in New York, with 1,001–5,000 employees. It operates a platform that measures digital activity across websites, apps and online channels, giving customers visibility into competitors, prospects, partners and their own markets. Product lines cover sales, investor, shopper, ecommerce, marketing and digital research intelligence, plus benchmarking and audience analysis. The company hires across the United States, Israel, the United Kingdom, Japan and Singapore, and delivers custom reports and data products alongside its core platform.
Similarweb runs on AWS, GCP and Azure with Python, Go, Scala, Java and C#. Data work uses Spark, Databricks, Airflow, Snowflake and Firebolt, with LangChain and LangGraph for AI, and Salesforce and HubSpot for go-to-market.
Yes. Sales is Similarweb's largest hiring area, followed by data and engineering, with a Head of Inside Sales among open leadership roles and steady overall hiring velocity.
Similarweb is hiring in the United States, Israel, the United Kingdom, Japan and Singapore, with headquarters in New York.
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Similarweb'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.