Cin7 builds a cloud-based ERP platform for mid-market product businesses managing inventory, fulfillment, and multi-channel sales. The tech stack is Microsoft-heavy (SQL Server, Azure ecosystem, .NET, C#) with AWS and GCP as secondary cloud providers, paired with test automation (Selenium, Cypress, Playwright) and sales-motion tools (Salesforce, Gong, LinkedIn Sales Navigator). Current hiring is sharply weighted toward customer success (5 of 9 open roles) and product (2), with only 1 engineering role posted, while documented pain points center on retention, product adoption, and SDR team scaling—a pattern indicating the company is optimizing go-to-market execution and support operations rather than shipping new features.
Cin7 provides an all-in-one cloud ERP solution for growing product businesses in food & beverage, fashion, manufacturing, retail, and wholesale. The platform consolidates purchasing, production, inventory, warehouse management, point-of-sale, EDI, and third-party logistics into a single interface, with built-in integrations to Shopify, Magento, QuickBooks Online, and Xero. Founded in 2011 and headquartered in Denver, the company serves mid-market operators who would otherwise pay tens of thousands for legacy on-premise ERP systems. Teams are based across the United States, Australia, New Zealand, India, and Sri Lanka.
Cin7 runs on Microsoft infrastructure: SQL Server, Azure (including Data Factory, Synapse Analytics, Cosmos DB), with .NET and C# as primary languages. Secondary cloud is AWS and GCP. Test automation uses Selenium, Cypress, and Playwright.
Denver, Colorado. The company employs 201–500 people and hires in the United States, Australia, New Zealand, India, and Sri Lanka.
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Cin7'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.