Ketch operates a privacy and consent management platform built on a modern polyglot stack (Go, Python, React, Snowflake, BigQuery, AWS/GCP) designed for enterprise deployment. Hiring velocity is accelerating with a marked sales-led focus: 6 of 12 active roles are in sales, alongside 5 support positions and only 1 engineering role. This distribution—paired with active projects centered on enterprise sales cycles, POV engagements, and solution architecture—reveals a company in growth-stage land-and-expand mode, scaling revenue operations while maintaining technical delivery velocity.
Ketch provides data privacy management software for enterprises seeking to navigate compliance, consent, and responsible data activation at scale. The platform addresses fragmented privacy operations across multiple devices, systems, and third-party integrations, helping brands streamline consent collection, fulfill data subject requests, and maintain compliance with GDPR, CCPA, and other regulatory regimes. Founded in 2020 and based in San Francisco, the company operates with 51–200 employees and is privately held. Technical execution spans frontend (React, Angular, Vue), backend (Go, Python, Java, Scala), and data infrastructure (Snowflake, BigQuery, Databricks, DynamoDB, PostgreSQL), indicating a mature engineering foundation supporting complex enterprise requirements.
Ketch uses Go and Python for backend services, React and Angular for frontend, and Snowflake, BigQuery, and Databricks for data warehousing. Cloud infrastructure runs on AWS and GCP. Data stores include PostgreSQL, Redis, Cassandra, and DynamoDB.
San Francisco, California. The company was founded in 2020 and is privately held with 51–200 employees.
Ketch'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.