Vertical SaaS and payments for home, health and fitness service businesses
EverCommerce sells vertical business-management software, payments and engagement tools to service-based SMBs. The stack mixes a modern AWS, React and Python core with legacy VB.NET, SQL Server and Oracle, and finance runs on NetSuite and OneStream, a sign of a portfolio assembled from many products. Adoption of Anthropic, OpenAI and AWS Bedrock lines up with active work on agentic field service and AI voice features.
Notable leadership hires: Head of Invoice Simple, Director of Marketing, Onboarding Implementation Director
EverCommerce is a privately held software company headquartered in Denver, Colorado, with 1,001–5,000 employees. It provides vertically tailored SaaS for service-based businesses in home and field services, health services, and fitness and wellness. Its offerings span business management software, integrated payment acceptance, marketing technology and customer engagement apps. Product lines referenced in its hiring include Invoice Simple and the DrChrono EHR platform. The company recruits in the United States, Canada and New Zealand.
EverCommerce runs on AWS (Lambda, API Gateway, Bedrock), Python/Django, React, TypeScript, Next.js, React Native, Node.js, PostgreSQL, MongoDB and SQL Server, plus Salesforce, NetSuite, OneStream and Workato.
Yes. Hiring is accelerating, led by engineering, sales and marketing, with mostly senior and mid-level roles across the United States, Canada and New Zealand.
Current initiatives include Invoice Simple platform strategy, the DrChrono EHR platform, an agentic field service management experience, AI voice product integration and enterprise integration automation.
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EverCommerce'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.