Apparel Product Development Intern - Hybrid & AI-Driven

VFCorporation; Kreis Stabio; Hybrid; CHF 19.000 - 23.000; Vollzeit

Benefits dieser Stelle

Hybrid working policy

50% VF brand discount

On-site gym

Subsidized canteen

Shuttle or transport discount

Zusammenfassung

VF Corporation’s EMEA HQ in Stabio, Switzerland invites you to join as a Product Development Intern in the Apparel Product Development Team for a 12-month, full-time internship designed to immerse you in end-to-end apparel creation.

You will work on seasonal development, 3D workflows, costing analysis and AI-enabled product creation tools, collaborating with cross-functional teams and gaining hands-on experience with data-driven decision making.

Qualifikationen

• A keen interest in apparel product development and digital creation.
• Ability to work with data to support product decisions.
• Understanding of materials, construction and manufacturing processes.
• Willingness to learn 3D and AI-driven solutions and adapt quickly.

Aufgaben

• Support seasonal development processes, manage samples and milestones.
• Contribute to Tech Pack, BOM and product data management.
• Participate in product reviews and assist with sample evaluation.
• Collaborate with Design, Merchandising, Technical Development, Sourcing and Vendors.
• Assist with creating and reviewing 3D product assets and digital information.
• Support costing analysis and cost tracking to identify optimizations.

Kenntnisse

Apparel product development

Data analysis

3D workflows

AI-driven tools

Analytical mindset

Browzwear

PLM systems

Adobe Suite

Power BI

English fluency

Tools

Browzwear

PLM systems

Adobe Suite

Power BI

Jobbeschreibung

VF Corporation’s EMEA HQ in Stabio, Switzerland invites you to join as a Product Development Intern in the Apparel Product Development Team for a 12-month, full-time internship designed to immerse you in end-to-end apparel creation.

You will work on seasonal development, 3D workflows, costing analysis and AI-enabled product creation tools, collaborating with cross-functional teams and gaining hands-on experience with data-driven decision making.