Snyk operates an application security platform positioned around AI-driven workflows, serving 4,500+ customers. The stack reveals a developer-centric, cloud-native architecture: Python, JavaScript, Go, TypeScript across Kubernetes, Docker, and major cloud providers (AWS, GCP, Azure), with Kafka for event streaming and Snowflake for analytics. Active projects center on embedding security into AI development cycles and launching next-generation tooling—signaling a strategic pivot toward securing AI-native workflows rather than retrofitting legacy SDLC processes. Sales-led growth (30 roles) paired with engineering (29) reflects a scaling GTM motion, while the pain-point pattern (shadow AI, adoption barriers, policy enforcement) shows the market friction Snyk is addressing.
Notable leadership hires: Account Director, Sales Director
Snyk builds an application security platform that integrates into developer workflows to identify and remediate vulnerabilities during the build and deploy process. The product spans multiple testing vectors—SAST, DAST, and software composition analysis—and is designed for organizations building with modern tech stacks (Kubernetes, cloud infrastructure, AI frameworks). The company sells to mid-market and enterprise development teams across North America, Europe, and Asia-Pacific. With 1,001–5,000 employees and 101 active job openings (80 posted in the last 30 days), Snyk is in an acceleration phase, hiring across sales leadership, engineering, and finance.
Snyk's core stack includes Python, JavaScript, Go, and TypeScript; Kafka and Confluent for streaming; Kubernetes and Docker for orchestration; Snowflake for data warehousing; and AWS, GCP, and Azure for cloud infrastructure.
Snyk is headquartered in Boston, Massachusetts, and operates as a privately held company with 1,001–5,000 employees.
Snyk'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.