Leading North American beverage distributor modernizing operations and data infrastructure
Breakthru Beverage operates a large-scale wholesale distribution network across 16 U.S. and Canadian markets, with a tech stack anchored in SAP, Snowflake, and enterprise data tools. The hiring surge is overwhelmingly sales-driven (102 of 158 active roles), paired with active projects around data modernization, warehouse standardization, and routing optimization—indicating a push to rationalize logistics costs and improve supply-chain visibility while scaling territory coverage.
Notable leadership hires: Sales Director
Breakthru Beverage is one of the largest spirits, wine, beer, and non-alcoholic beverage distributors in North America, operating across 16 markets with a team of nearly 10,000 associates. The company delivers branded products to retail, convenience, bar, and restaurant customers across the United States and Canada, with annual sales exceeding $8.6 billion. Operations are underpinned by SAP (ECC and Fiori), Snowflake for data analytics, and a wide set of legacy and emerging tools spanning HR, logistics, POS, and financial systems. Recent focus areas include warehouse process standardization, labor productivity gains, and enterprise data architecture modernization.
Primary systems include SAP (ECC, Fiori), Snowflake, Azure, AWS, Workday, Power BI, and Splunk. Supporting tools span Salsify (product data), Concur (expense), Oracle, SQL Server, and various supply-chain and POS platforms.
The company maintains dual headquarters in New York, NY and Cicero, Illinois. It operates across 16 markets in North America with a team of nearly 10,000 employees.
Breakthru Beverage Group'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.