B2B marketplace and supply chain software for healthcare parts and service
PartsSource runs a healthcare-focused marketplace and procurement platform for clinical equipment parts, repairs and asset uptime. Hiring is accelerating and skews heavily toward sales, support and ops rather than engineering, pointing to a commercial push that includes a life science go-to-market strategy. The stack pairs Salesforce, HubSpot, 6sense and Gainsight with a deep QA toolchain (Playwright, Appium, BrowserStack) on GCP and AWS.
Notable leadership hires: Service Practice Director
PartsSource is a privately held company founded in 2001 and headquartered in Cleveland, Ohio, with 201–500 employees. It operates a B2B vertical marketplace and supply chain software platform serving healthcare providers and suppliers. The platform automates procurement and vendor management workflows for replacement parts and components such as patient monitors, infusion pumps, probes, CT tubes and batteries. The company says it serves more than 5,000 member hospitals and over 15,000 clinical sites, helping them manage costs, staff productivity and equipment uptime. Hiring is currently focused in the United States.
PartsSource uses TypeScript, Firebase and Genkit on GCP and AWS, with Terraform, CloudFormation, TeamCity and Argo Workflows, Datadog for monitoring, and Salesforce, HubSpot, Gainsight, NetSuite, SAP and MuleSoft for business systems.
Yes. Sales is the largest hiring area at PartsSource, followed by support and operations, with hiring velocity accelerating and all roles based in the United States.
PartsSource is headquartered in Cleveland, Ohio. The privately held company was founded in 2001 and has 201–500 employees.
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PartsSource Inc.'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.