Device intelligence platform for real-time visitor identification and fraud prevention
Fingerprint sells device intelligence that helps fraud teams separate legitimate visitors from bots and bad actors. A Go and Node.js backend on AWS with DynamoDB, Redis, and ClickHouse, plus a broad warehouse layer (Snowflake, BigQuery, Redshift, Databricks), points to heavy real-time event processing. Senior-skewed hiring splits between engineering and a go-to-market push into enterprise sales, ABM, and renewal-focused customer success.
Fingerprint, founded in 2020 and headquartered in Chicago, Illinois, builds a device intelligence platform that identifies visitors and flags high-risk activity to prevent online fraud. The company maintains the open-source FingerprintJS library alongside commercial SDKs, including an Android SDK built with Kotlin and Jetpack Compose. It is a privately held, fully remote company with 201–500 employees and is currently hiring in the United States and United Kingdom. Customer-facing operations run on Salesforce, HubSpot, Gainsight, Planhat, and Zendesk.
Fingerprint uses Go, Node.js, C++, and Kotlin on AWS, with DynamoDB, Redis, Elasticsearch, and ClickHouse. Its data stack includes Snowflake, BigQuery, Databricks, dbt, Prefect, and SageMaker.
Job posts point to real-time data processing infrastructure, a Fingerprint Android Pro SDK, end-to-end fraud detection solutions, rate limiting, developer tooling, and an enterprise sales playbook.
Fingerprint is headquartered in Chicago, Illinois, operates as a fully remote company, and currently hires in the United States and United Kingdom.
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Fingerprint'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 →
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