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(Senior) Product Manager, Endpoint

External
Nexthink logoNexthink ยท Lausanne, Switzerland
Full-timeOn-site2w ago
Observability
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Requirements

  • Experience with endpoint technologies, device troubleshooting, or observability-related products.
  • Experience with L3 support, root cause analysis, or incident resolution workflows.
  • Working knowledge of ITSM tools and practices such as ServiceNow or BMC Remedy.
  • Exposure to customer-facing roles such as support, pre-sales, post-sales, or customer success.
  • IIf you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer:
  • ๐Ÿ’ผ Permanent Contract and a competitive compensation package.
  • ๐Ÿ“ Beautiful office, conveniently located next to the Prilly-Malley train station
  • ๐Ÿก Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding.
  • ๐Ÿ–๏ธ Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 25 days of holidays we offer) plus 3 company-paid volunteer days.
  • ๐Ÿคธ Free access to a fitness centre inside the building.
  • ๐Ÿšž Reimbursement of the half-fare travel card for public transport.
  • ๐Ÿง‘๐Ÿซ

Benefits

Paid time offRemote work optionsFlexible scheduleEquity / stock options

Additional Information

We are looking for a (Senior) Product Manager to define and execute the roadmap for a core part of Nexthink's endpoint troubleshooting capabilities. This role sits at the intersection of deep platform work and customer-facing product experiences. It focuses on improving how endpoint issues are detected, understood, and resolved at scale, enabling better L1 to L3 troubleshooting workflows and faster issue resolution. The role requires strong technical depth and product judgment, with the ability to work across data, integrations, backend systems, and user workflows while staying focused on customer value. You will collaborate closely with engineering, architecture, design, and customer-facing teams to turn complex technical challenges into clear, high-impact product capabilities. Your responsibilities will be: Define and drive the roadmap for endpoint troubleshooting capabilities, aligned with customer needs, business priorities, and platform direction. Lead delivery of capabilities that improve how endpoint issues are detected, understood, and resolved. Translate complex technical topics into clear product requirements, priorities, and trade-offs. Work closely with engineering, architecture, and design to build reliable, scalable, and intuitive solutions. Go deep into endpoint-related technical subjects, including APIs, integrations, data flows, and backend dependencies, to support sound product decisions. Identify opportunities to apply AI in practical ways that improve troubleshooting effectiveness and user experience. Partner with support, field, and customer-facing teams to understand pain points and turn them into product opportunities. Define and track metrics to measure adoption, troubleshooting effectiveness, and product impact. Master's degree in computer science, engineering, or equivalent practical experience, with a strong technical foundation. 3+ years of experience as a Product Manager in a product-led company, ideally in enterprise software or another technical domain. Strong ability to understand complex technical systems and work closely with engineering teams while staying focused on customer value and outcomes. Solid understanding of platform architecture, APIs, integrations, backend systems, and endpoint-related technical concepts. Good understanding of data-related product topics, including data collection, quality, structure, and how data supports troubleshooting workflows and product capabilities. Strong interest in AI-driven product experiences, with familiarity in how AI can be applied to troubleshooting, data-driven workflows, and product capabilities, and good judgment on where it creates real value. Ability to think critically about how emerging AI methods can improve user experience, automation, and product effectiveness in practical, scalable ways. Able to operate effectively in a fast-paced environment with changing priorities, clear trade-offs, and disciplined choices about what not to build. Professional-level English, spoken and written.


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