Custom metal profile manufacturer with 360+ years of production heritage
Welser Profile manufactures over 23,500 bespoke cross-sections in steel, stainless steel, and non-ferrous metals across 90+ rolling lines. The tech stack reveals a hybrid-legacy operation: SAP SuccessFactors and SAP for enterprise planning sit alongside Python, scikit-learn, and PyTorch, suggesting emerging data analytics and ML work. Hiring acceleration is skewed heavily toward manufacturing (12 roles) versus engineering (2), reflecting production scaling rather than platform transformation.
Welser Profile is a privately held metal profile manufacturer headquartered in Gresten, Austria, operating since 1664. The company produces open and welded special profiles with material thicknesses from 0.3 mm to 8.2 mm and widths up to 1000 mm, serving automotive, construction, aviation, fencing, furnishing, and commercial vehicle industries. Operations span 1,001–5,000 employees across Austria, Germany, and the United States. Current initiatives include SAP HCM system modernization, APQP/AIAG process standardization, and production optimization efforts targeting scrap reduction and overtime minimization.
Welser Profile manufactures custom metal profiles — over 23,500 different cross-sections in steel, stainless steel, and non-ferrous metals with thicknesses of 0.3–8.2 mm. The company operates 90+ high-performance rolling lines serving automotive, construction, and aerospace sectors.
Yes. Manufacturing represents 12 of 21 active roles (57%). Hiring is accelerating across Austria, Germany, and the United States, with a junior-skewed seniority profile (10 junior, 6 mid-level, 3 interns).
Welser Profile runs SAP and SAP SuccessFactors for enterprise resource planning and HR administration. The stack also includes Python, scikit-learn, and PyTorch, indicating analytics and machine-learning experimentation alongside legacy systems.
Welser Profile'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.