AI-Driven Technical PM — Global NPI & UX

Logitech; Lausanne; Hybrid; CHF 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Zusammenfassung

Logitech Lausanne seeks a Technical Project Manager for the MKS division to lead New Product Introduction from concept to mass production, bridging Embedded Software and Software groups to deliver superior UX.

You will coordinate cross-functional teams across product management, hardware, software, supply chain and manufacturing, own risk management, and drive AI/ML features into devices while improving internal workflows.

Qualifikationen

• Essential knowledge of AI/ML with practical experience on Host and Device sides (EdgeAI, TinyML).
• 7+ years of project management in a high-tech, cross-functional and global context.
• Strong cross-functional knowledge in Mechanical, Electrical Engineering and Embedded Software.
• Independent with design thinking knowledge and creative mindset.
• Excellent verbal and written communication across multi-site teams and interfaces.

Aufgaben

• Manage and coordinate New Product Introduction (NPI) from concept to mass production.
• Lead ESW (Embedded Software) activities ensuring alignment with hardware and design teams.
• Drive AI/ML feature integration into ESW and adoption of AI-driven tools to improve workflows.
• Collaborate with Product Management, Hardware, Software, Supply Chain and Manufacturing to deliver on time within cost and quality.

Kenntnisse

AI/ML knowledge

7+ years PM

Cross-functional teams

Sustainable product focus

PM standards & methodology

Design Thinking

Excellent communication

Multisite coordination

Risk management

Global environment

Timeline & risk tracking

Ausbildung

Bachelor or Master in Engineering

Jobbeschreibung

Logitech Lausanne seeks a Technical Project Manager for the MKS division to lead New Product Introduction from concept to mass production, bridging Embedded Software and Software groups to deliver superior UX.

You will coordinate cross-functional teams across product management, hardware, software, supply chain and manufacturing, own risk management, and drive AI/ML features into devices while improving internal workflows.