AAA National operates a diversified member-services organization built on Dynamics 365, AWS, and Microsoft's Power Platform stack (Power Apps, Power BI). The tech foundation reflects a mid-market enterprise architecture: relational databases (PostgreSQL, SQL Server), cloud compute (AWS, Azure), and low-code/no-code tooling (Power Apps for canvas applications, Power BI for analytics). Active hiring skews senior (5 of 10 roles) across engineering, support, and sales, with documented pain around multi-channel complaint management, open enrollment execution, and cross-business-line data integration—suggesting operational scaling and modernization priorities.
AAA National is a nonprofit member-services organization headquartered in Heathrow, Florida, serving over 66 million members across automotive, travel, insurance, personal finance, traffic safety, and mobility. The organization delivers roadside assistance, member benefits programs, and related insurance and financial products. With 201–500 employees, AAA operates across multiple revenue and service lines, managing open enrollment, benefits compliance, member complaints, and advertising operations (Tourbook print ads). Technology infrastructure spans on-premise (SQL Server, Dynamics 365, Microsoft Access) and cloud (AWS, Azure), with recent investment in custom Power Apps and advanced Power BI reporting.
Dynamics 365, AWS, Azure, PostgreSQL, SQL Server, Java, Python, Node.js, React, Power Platform (Power Apps, Power BI), GraphQL, and Salesforce Marketing Cloud. No major tech migrations (adopting/replacing) listed in recent activity.
Key documented pain points include managing member complaints across multiple channels, ensuring timely complaint resolution, improving member loyalty, managing open enrollment, integrating transaction data across business lines, and reducing benefit administration errors.
AAA National'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.