AI-driven B2B accounts receivable automation and payment software
Billtrust sells AR workflow and payment software that automates invoicing and cash application for B2B finance teams. Its stack mixes a modern Java/Spring Boot and Angular/NgRx core on AWS (ECS, Lambda, SQS, Aurora) with legacy PHP, .NET, C++ and XSL-FO for invoice rendering, pointing to a long-lived platform being modernized. Accelerating, sales-led hiring with senior and VP weight lines up with an AI-first AR platform push and European market entry.
Notable leadership hires: Brand Communications Director
Billtrust, founded in 2001 and headquartered in Nashville, Tennessee, provides accounts receivable automation for B2B companies. Its software covers the invoice-to-cash cycle, including print and digital invoice delivery, online payments, and cash application, with AI-based analytics layered on top. Customers are finance teams aiming to shorten collection cycles and reduce manual AR work. The privately held company has 501–1,000 employees, operates fully remote, and hires across the United States, Canada, the United Kingdom and India.
Billtrust runs Java, Spring Boot, Angular, TypeScript and NgRx on AWS (ECS, Lambda, SQS, RDS, Aurora), with MySQL, MongoDB and SQL Server, plus Terraform, Jenkins, Ansible and Datadog for infrastructure and monitoring.
Yes, hiring is accelerating, led by sales, engineering, marketing and product, with a heavy tilt toward senior, director and VP roles across the US, Canada, the UK and India.
Job posts point to an AI-first AR platform, winning new enterprise accounts, joint go-to-market plans, and a market-entry strategy for new European geographies.
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Billtrust'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.