Golf and tennis retail chain scaling store operations and instruction services
PGA TOUR Superstore operates a multi-location retail and instruction business across golf and tennis, with a tech stack shaped around commerce, supply-chain visibility, and data analytics (Salesforce Commerce Cloud, Coupa, SAP, Snowflake, dbt, Power BI). The hiring profile reveals a sales-led org — 493 of 537 active roles are sales-focused, predominantly junior and mid-level — built for rapid store expansion and lesson-booking velocity. Current friction centers on maintaining high booking percentages, e-commerce fulfillment targets (95%), and inventory accuracy across locations, suggesting the chain is optimizing both digital and in-store operations simultaneously.
Notable leadership hires: Back End Department Head, Media Director
PGA TOUR Superstore is a golf and tennis equipment and apparel retailer operating across the United States, headquartered in Roswell, Georgia. The company operates under the Arthur M. Blank Family of Businesses and competes as a specialty retail chain with both physical locations and digital commerce channels. Beyond retail, the business operates a significant instruction and clinic program, offering golf lessons, personalized lesson plans, and performance events. The company maintains a 1,001–5,000 employee base and has been in operation since 2003. Core operational challenges center on maximizing lesson-booking rates, managing multi-location inventory accuracy, and achieving consistent e-commerce fulfillment performance.
PGA TOUR Superstore runs Salesforce Commerce Cloud for e-commerce, SAP for ERP, Coopa for procurement, and a data stack including Snowflake, dbt, Power BI, and Tableau. They also use ServiceNow for IT service management and Datadog for monitoring.
The company has between 1,001 and 5,000 employees. Currently, 537 active job openings are posted, with 143 added in the last 30 days.
PGA TOUR Superstore'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.