USTA is the national governing body for tennis in the United States, operating 17 regional sections, 700,000+ individual members, and 7,000 organizational members. The organization runs a tech stack anchored in Salesforce, Tableau, and Adobe Creative Suite—typical of a membership-and-events organization—while actively managing tournament logistics, facility upgrades (including Arthur Ashe Stadium redesign), and food-and-beverage technology implementation. Hiring velocity is accelerating across operations and marketing roles, reflecting expansion in event delivery and participation programs.
USTA is the largest tennis organization in the world and the recognized national governing body for the sport in the United States. Founded in 1881, it operates as a nonprofit with a mission to promote and develop tennis at every level, from community recreational programs through the US Open professional championship. The organization maintains 17 geographical sections, manages thousands of volunteers, oversees national recreational events and league championships, and develops block grant partnerships to expand participation. Current operational priorities include facility modernization, improvements to officiating assignment processes, simplification of food-and-beverage ordering, and management of complex logistics across multiple concurrent events.
USTA has more than 700,000 individual members and 7,000 organizational members across 17 geographical sections, making it the largest tennis organization in the world.
Primary tools: Salesforce (CRM/operations), Tableau (analytics), Adobe Creative Suite (design/video), Slack (collaboration), Monday.com (project management), ADP (HR), and AWS for infrastructure.
(USTA) United States Tennis Association'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.