AI-driven CRM and customer engagement platform for car dealerships
DriveCentric builds dealership CRM software on a Microsoft-centric core (C#, .NET, SQL Server, Angular) extended with Kafka, AWS EKS, Twilio and Databricks, which points to an event-driven communications layer feeding analytics and AI. Job posts show expansion into F&I and payments, including an AI assistant for F&I directors, alongside ongoing strain from legacy technology and multi-DMS integration. Hiring is accelerating and skews senior across engineering, product and design.
Notable leadership hires: Design Director
DriveCentric is a privately held software company headquartered in St. Louis, Missouri, founded in 2010 and employing 201–500 people. It provides a CRM and engagement platform built specifically for automotive dealerships, combining customer communications, automation and AI-assisted sales workflows. The platform connects with dealer management system (DMS) providers and holds OEM certifications. Its dealership customer base spans the United States and Canada, and current hiring is concentrated in the United States.
DriveCentric runs on C#, .NET, ASP.NET, SQL Server, PostgreSQL and Angular/TypeScript, with Kafka, AWS (EKS, RDS, Cognito), Twilio, Databricks, Power BI, OpenTelemetry and Grafana.
Projects include real-time conversation services across voice, SMS/MMS, video and web chat, AI features built on telephony data, scalable DMS integrations, DealerPay payments integration and an AI assistant for F&I directors.
Yes. Hiring is accelerating and centered on senior engineering, product and design roles in the United States, including a Design Director leadership position.
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DriveCentric'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.