Senior Product Manager (AI Automation)

• 20 août 2026 • 100% • Indefinite duration • Lausanne Senior Product Manager (AI Automation) • Full time • Department: Solution • Department: Solution • Division: Product Company Description Nexthink is the leader in employee digital experience management software. The company offers IT managers unprecedented visibility, allowing them to see, diagnose, and resolve at scale the issues affecting employees everywhere, with any application or network, before employees notice the problem. As the first solution enabling IT to move 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. Based in both Lausanne, Switzerland, and Boston, Massachusetts, Nexthink has 9 offices worldwide. LI-Hybrid # Job Description We are looking for a Senior Product Manager (AI Automation) to define and build Nexthink's next-generation automation capabilities. This is a 0 to 1 product role - you will be responsible for the vision, design, and delivery of a new automation framework designed for both traditional IT workflows and AI-driven agentic scenarios. This role is at the heart of Nexthink's platform strategy. IT teams rely on Nexthink to detect and resolve employee experience issues at scale. Automation transforms this detection into action. You will define what that action looks like in an AI-driven world - by designing a flexible, extensible automation engine that integrates with ITSM tools, endpoint management systems, and emerging AI agents. This role is technically demanding and requires both product vision and hands-on execution. You will work closely with engineering, architecture, and key feature teams across the Nexthink platform to transform complex technical capabilities into experiences that enterprise IT teams actually adopt and that deliver measurable value within months. What you will do • Define and drive the roadmap for Nexthink's AI automation platform, in alignment with customer needs, business priorities, and platform direction. • Acquire a deep understanding of how enterprise IT teams automate work today, via customer discovery, field engagement, and hands-on research - and translate this into a clear and reasoned product vision. • Design an automation framework that works for both traditional IT workflows and AI-based agentic scenarios - flexible, extensible, and designed for scale. • Identify and prioritize 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 and iterative release cycles. • Translate complex technical topics - orchestration engines, trigger frameworks, APIs, AI agent integration - into clear product requirements, priorities, and trade-offs. • Collaborate with customer-facing teams to drive real adoption in customer environments, measure impact, and iterate based on evidence. • Define and track metrics to measure adoption, automation effectiveness, and business value delivered to customers. Qualifications Key Skills • AI-driven mindset. You know how to build AI-native products - not AI as an added feature, but AI as a foundation. You have good judgment on where AI creates real value versus where it adds noise, and you can design products that leverage LLMs and automation agents in a practical and scalable way. • 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 terms of customer outcomes, not features. You are motivated by discovery - talking directly with customers, understanding their workflows, and building products that solve real and pressing problems in IT operations. • Technical depth. You are comfortable diving deep into technical topics - APIs, orchestration engines, trigger frameworks, backend architectures - and working closely with engineering teams to make sound product decisions. You are not afraid to create automations yourself, to explore systems and APIs deeply, and to roll up your sleeves. You write clear and detailed specifications. • Communication. You clearly explain complex technical and product concepts to technical and business audiences. You write well, speak with conviction, and can align diverse stakeholders around a common direction. Experience • More than 5 years of experience as a Product Manager in a B2B SaaS company, ideally in enterprise software or a platform/infrastructure domain. • Proven experience in building products at scale - understanding how design decisions in platform products