Call tracking and AI lead engagement software for marketing attribution
CallRail sells call, text, chat and form attribution plus AI-driven lead handling, built on a Ruby on Rails, Sidekiq and Angular core running on AWS EKS with Aurora and Redis. Hiring is accelerating and skews toward marketing and manager-level roles, and job posts point to verticalized go-to-market work, especially home services personas and messaging. Native Swift and Kotlin apps sit alongside a revenue stack of Salesforce, HubSpot, Outreach and Gong.
CallRail is a privately held software company headquartered in Atlanta, GA, founded in 2011, with 201–500 employees. Its platform ties inbound calls, texts, chats and form fills back to the marketing sources that generated them. It also surfaces insights from customer conversations and uses AI to respond to leads around the clock. The company serves a broad base of businesses that run paid advertising, with integrations into channels such as Google Ads and Microsoft Advertising. Current hiring is concentrated in the United States.
CallRail's stack includes Ruby on Rails, Sidekiq, Angular, TypeScript, Aurora, Redis, Kubernetes on AWS EKS, plus Swift and Kotlin for mobile and Salesforce, HubSpot, Gong and Looker on the business side.
Yes. Marketing is CallRail's largest hiring area right now, alongside product, sales, engineering and finance. Hiring velocity is accelerating and leans toward manager-level roles in the United States.
Job posts point to go-to-market launches for new products, home services personas and strategy, verticalized messaging, core integration development, intelligent field mapping and internal AI deployment.
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CallRail'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.