Athletic apparel brand scaling sales infrastructure and AI automation
Rebel Athletic is a performance apparel and lifestyle brand built around custom designs for athletes and teams. The company is in active sales-expansion mode—16 of 20 open roles are in sales and related functions—while simultaneously building production-grade AI agent systems across NetSuite and Salesforce. This dual pivot signals a shift from product-led growth toward sales-led scaling, paired with workflow automation to handle rising bid volume and contract complexity.
Rebel Athletic designs and manufactures athletic apparel, custom gear, and lifestyle fashion for athletes, teams, and programs. Founded in 2013 and based in Carrollton, Texas, the company operates across retail, custom orders, and team/institutional sales channels. The product mix spans performance wear, luxury fashion, and branded experiences. Current focus areas include territorial expansion in the all-star cheer and marching arts markets, improved pricing strategy, and streamlined sales-cycle management. The tech foundation includes Shopify for retail, NetSuite for operations, and Salesforce for sales and customer management.
Rebel Athletic runs Shopify for e-commerce, NetSuite for operations, Salesforce for CRM, and SQL Server for data. They also use Power BI for analytics, Azure Entra ID and Intune for identity and device management, and are actively adopting LangChain, CrewAI, and n8n for AI automation.
Active projects include sales territory expansion in cheer and marching arts markets, demand forecasting, production-grade AI agent systems for enterprise workflows, NetSuite and Salesforce integration with AI, contract renewal tracking, and pricing optimization.
Rebel Athletic'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.