Multi-unit restaurant operator scaling 3000+ locations globally
Wingstop operates a large multi-unit restaurant chain with 3000+ locations and is actively hiring across ops, engineering, marketing, and data roles—velocity accelerating. The tech stack reveals a mature transaction and compliance infrastructure (POS, Oracle Fusion, Salesforce, AWS Aurora, Snowflake, Databricks) built to handle high-throughput payments and franchise reporting, paired with modern analytics (Tableau, Power BI, GA4, BrightEdge). Current pain points cluster around SOX compliance, franchise performance scaling, food safety, and same-store sales improvement, suggesting the organization is optimizing operational consistency and financial controls across a distributed franchise network.
Notable leadership hires: Analytics Director, Franchise Operations Director, Innovation Director, Shift Lead, Marketing Director
Wingstop Restaurants is a publicly traded quick-service restaurant chain founded in 1994, headquartered in Dallas, Texas, with over 3000 locations globally. The brand specializes in made-to-order chicken wings served with 12 signature sauces and hand-cut fries. The company operates a franchise-heavy model with corporate support functions centered in Dallas and field teams supporting restaurant operators. With 201–500 corporate employees and active hiring across operations, engineering, data, and marketing, Wingstop is scaling infrastructure to support franchise growth, compliance obligations, and same-store sales improvement initiatives.
Wingstop's core stack includes POS systems, Salesforce, Oracle Fusion, AWS (Aurora, infrastructure), Snowflake, Databricks, Tableau, Power BI, MuleSoft, and .NET/C# for custom applications. Identity and compliance tools include Active Directory, Azure AD, Okta, and Intune.
Wingstop is hiring in the United States, India, United Arab Emirates, Singapore, and the United Kingdom. Notable open leadership roles include Analytics Director, Franchise Operations Director, and Innovation Director.
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Wingstop Restaurants Inc.'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 →
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