Premium golf equipment manufacturer with supply-chain and e-commerce optimization focus
Callaway Golf operates a heavy SAP ecosystem (EWM, MM, SD, S/4HANA, APO, IBP) paired with Snowflake, Python, and ML libraries (TensorFlow, PyTorch, scikit-learn) — a stack shape that signals backend maturity in supply-chain planning but active build-out of data science capabilities. Hiring velocity is accelerating across sales and junior engineering roles while tackling inventory discrepancies, demand forecasting, and e-commerce conversion—operational challenges that align with their ongoing SAP modernization and digital warehouse initiatives.
Notable leadership hires: Production Lead, AI Director
Callaway Golf manufactures and sells premium golf clubs, balls, apparel, and accessories globally. The company operates across 1,001–5,000 employees from headquarters in Carlsbad, California, with manufacturing and hiring presence in the United States, Indonesia, Vietnam, Canada, Mexico, Peru, and the United Kingdom. Core operations span product design (SolidWorks, Centric PLM for product lifecycle), supply-chain execution (SAP WMS, transportation management), and direct-to-consumer e-commerce (React, Node.js frontend). Current focus areas include SAP platform upgrades, inventory optimization, demand forecasting, and checkout-experience improvements on their branded golf and OGIO websites.
Callaway uses SAP EWM (warehouse management), SAP MM (materials management), SAP SD (sales/distribution), SAP APO (advanced planning), SAP IBP (integrated business planning), and Snowflake for analytics. They're also actively implementing SAP S/4HANA and digital warehouse solutions.
Callaway hires across the United States, Indonesia, Vietnam, Canada, Mexico, Peru, and the United Kingdom—reflecting their global manufacturing and distribution footprint.
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