Device intelligence platform for real-time fraud detection and bot prevention
Fingerprint identifies over 1 billion unique devices monthly to distinguish legitimate visitors from fraud and bots in real time. The stack reveals a data-heavy architecture (ClickHouse, Snowflake, BigQuery, Redshift, Databricks) paired with strong open-source foundations (FingerprintJS at 26K GitHub stars), typical of a platform built for scale. Current project focus on iOS accuracy, AI agent detection, and go-to-market motion alongside hiring deceleration and cited talent gaps suggest the company is shifting from product velocity toward sales efficiency and operational maturity.
Notable leadership hires: Customer Support Lead, Tech Lead
Fingerprint provides device intelligence to fraud and security teams at mid-market and enterprise companies. The platform analyzes visitor behavior and device signals to identify high-risk activity in real time, enabling both fraud prevention and frictionless user experience. Founded in 2020 and backed by $77M in funding, the company operates as a fully remote organization with global hiring across the United States, India, United Kingdom, and Brazil. Over 6,000 companies rely on Fingerprint daily, with particular traction among fintech, checkout, and identity verification use cases.
Python, Go, TypeScript/JavaScript, ClickHouse, Snowflake, BigQuery, Redshift, Databricks for data infrastructure; DynamoDB, Redis, Elasticsearch for services; AWS, Azure, GCP for cloud; dbt, Superset, Tableau, Metabase, Looker for analytics.
Chicago, Illinois. The company is 100% remote and hires across the United States, India, United Kingdom, and Brazil.
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