Salesforce DevOps platform for CI/CD, deployments, and release automation
Gearset operates a DevOps-focused platform built on Salesforce, TypeScript, React, PostgreSQL, and Kubernetes. Active hiring is heavily weighted toward sales (4 of 7 open roles) alongside ops and product work — a pattern consistent with the pain-point cluster around high-volume account coverage, operational bottlenecks, and underutilized platform value. The stack and hiring mix suggest a sales-led scaling phase focused on expanding SMB adoption and improving customer engagement workflows.
Gearset builds a comprehensive DevOps platform for Salesforce teams, covering CI/CD automation, metadata comparison, backup and restore, code review, test automation, sandbox seeding, and change monitoring. The company serves more than 3,000 enterprises globally and processes millions of Salesforce releases annually. Based in Cambridge and founded in 2015, Gearset holds SOC 2 and ISO 27001 certifications and maintains 99.9% uptime. The platform is engineered on TypeScript, React, PostgreSQL, and Kubernetes, with data infrastructure running on Snowflake, BigQuery, and Redshift. Current operational focus spans annual conference planning, customer discovery workflows, SMB account expansion, and improved engagement models to address platform underutilization and operational coordination gaps.
Gearset's core platform runs TypeScript, React, PostgreSQL, and Kubernetes on AWS. Data infrastructure includes Snowflake, BigQuery, and Redshift. The product integrates deeply with Salesforce and uses internal tools like Notion, Slack, and Figma.
Gearset is headquartered in Cambridge, United Kingdom. The company was founded in 2015 and currently employs 201–500 people.
Gearset'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.