H&M operates a large-scale retail footprint with significant hiring velocity concentrated in sales and store operations (1,333 of 1,547 active roles). The tech stack reveals a mature enterprise backbone (SAP, Oracle, WM/EWM) paired with modern analytics (BigQuery, dbt, Looker) and cloud adoption (GCP, Azure, AWS) — signaling a shift toward data-driven inventory and merchandising decisions. Active pain points cluster around sales optimization and inventory management, aligning with projects in visual merchandising and store expansion.
Notable leadership hires: E Com Lead, Store Director, Business Process Lead, Department Head, Facilities Project Lead
H&M is a publicly traded fashion retailer headquartered in Stockholm, Sweden, founded in 1947. The company operates stores and e-commerce across more than 75 countries, with over 120,000 employees globally. Core business focuses on making fashion accessible while building brand values around inclusivity and sustainability. Operational priorities center on store expansion, visual merchandising standards, inventory optimization, and customer loyalty programs (hello member app). The company scales primarily through sales and store operations hiring, supported by backend systems spanning supply-chain management (SAP S/4HANA, WM, EWM) and analytics infrastructure.
H&M's primary stack includes SAP S/4HANA and Oracle for ERP, WM/EWM for warehouse management, BigQuery and dbt for analytics, and GCP/Azure for cloud infrastructure. The company also uses Python, SQL, Terraform, Google Analytics, and Looker Studio for reporting and campaign management.
H&M is actively hiring across 25+ countries including India, United States, China, Japan, Canada, Mexico, Vietnam, Sweden, Australia, South Korea, Germany, France, Brazil, Netherlands, and Belgium, among others.
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