Senior Product Manager

Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,500 customers to provide better digital experiences to more than 25+ million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide.

• Define and drive the roadmap for Nexthink's AI Automation platform, aligned with customer needs, business priorities, and platform direction.
• Build a deep understanding of how enterprise IT teams automate work today, through customer discovery, field engagement, and hands-on research — and translate that into a clear, opinionated product vision.
• Design an automation framework that works across traditional IT workflows and AI-based, agentic scenarios — flexible, extensible, and built for scale.
• Identify and prioritise concrete use cases in close collaboration with customers and key feature teams across the platform.
• Work closely with engineering, architecture, and design to deliver reliable, scalable, and intuitive automation capabilities in fast, iterative release cycles.
• Translate complex technical topics — orchestration engines, trigger frameworks, APIs, AI agent integration — into clear product requirements, priorities, and trade-offs.
• Partner with customer-facing teams to drive real adoption in customer environments, measuring impact and iterating based on evidence.
• Define and track metrics to measure adoption, automation effectiveness, and business value delivered to customers.

• AI-first mindset: You know how to build AI-native products — not AI as a feature bolted on, but AI as the foundation. You have strong judgment about where AI creates genuine value vs. where it adds noise, and you can design products that leverage LLMs and automation agents in practical, scalable ways.
• Product sense: You are comfortable starting from a blank page. You can structure ambiguous problem spaces, develop a clear product vision, and make confident decisions with incomplete information. You have done this before.
• Use-case and business orientation: You think in customer outcomes, not features. You are energised by discovery — speaking directly with customers, understanding their workflows, and building products that solve real, pressing problems in IT operations.
• Technical depth: You are comfortable going deep into technical subjects — APIs, orchestration engines, trigger frameworks, backend architecture.