SKF manufactures bearings, seals, and lubrication systems for industrial applications — a capital-intensive, supply-chain-dependent business now consolidating around SAP S/4HANA and building predictive maintenance capabilities. The hiring mix is heavily skewed toward engineering (70 roles) relative to sales (43), reflecting product-led growth in a mature industrial market. Active projects span predictive inspection, compliance automation, and key-account management, while pain points cluster around logistics, inventory risk, and process standardization — typical leverage points for mid-market industrial scaling.
Notable leadership hires: R&D Lead, Sales Head, Chief Accountant
SKF is a public industrial manufacturer headquartered in Göteborg, Sweden, with a 10,000+ employee global workforce spanning the United States, India, Mexico, Netherlands, Germany, Canada, and 7 other countries. The company designs and manufactures bearings, seals, mechatronic systems, and lubrication products for industrial machinery, complemented by engineering services and a suite of integrated product platforms. The core value proposition centers on friction reduction — a materials science and systems integration challenge with downstream benefits in energy efficiency and operational cost. SKF operates a vertically integrated supply chain with manufacturing, sales, and service delivery across regions.
SAP S/4HANA, Power BI, ServiceNow, IBM Maximo, Creo CAD, Elasticsearch, and Python. Currently migrating to S/4HANA as the core ERP platform.
SKF has active hiring in 14 countries: Sweden, United States, India, Mexico, Germany, Netherlands, Canada, Austria, United Kingdom, Poland, Philippines, Serbia, Greece, and Argentina.
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SKF 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.