Product Manager at Nexthink
May no longer be active — verify on the employer site
At a glance
- Company
- Nexthink
- Location
- Lausanne, Switzerland
- Work arrangement
- Hybrid
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Nexthink job
Updated 2026-11-03, from our data and official sources.
Apply for this role at Nexthink
Apply with your AI assistant
With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.
Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/product-manager-nexthink
Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "product-manager-nexthink": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
About the role
Responsibilities:
- Own end-to-end delivery for assigned parts of Workspace: discovery, requirements, delivery, release, and iteration.
- Conduct customer research and discovery to identify high-value opportunities and define problem statements.
- Write clear requirements, acceptance criteria, and user stories to keep engineering unblocked.
- Lead agile ceremonies (sprint planning, standups, grooming, retrospectives, demos) with engineering and design.
- Coordinate launches with Design, Product Marketing, Sales, and Customer Success and track feature outcomes.
- Define and monitor success metrics; use data to drive post-release improvements.
- Maintain awareness of AI, DEX, and enterprise SaaS trends to inform product direction.
Requirements:
- 3–5 years of Product Manager experience in B2B SaaS, working closely with engineering in agile teams.
- Familiarity with AI-powered features or experience shipping AI-enabled functionality.
- Strong discovery, customer research, and data-driven decision-making skills.
- Excellent communication and stakeholder management across cross-functional teams.
- Ability to work autonomously, prioritize effectively, and drive delivery to outcomes.
Responsibilities
You will own the end-to-end product delivery for the Workspace team, driving the roadmap for AI-native features from discovery to release. You will also collaborate cross-functionally with engineering, design, and marketing to ensure alignment and high-value output.
Requirements
The role requires 3–5 years of experience as a Product Manager in a B2B SaaS environment with a strong background in agile methodologies. Candidates must possess excellent discovery skills, the ability to synthesize data into product decisions, and professional-level English proficiency.
Key skills
- Product management — in 239 other listings on The Stack
- B2B SaaS — in 12 other listings on The Stack
- Agile methodologies — in 129 other listings on The Stack
- Product discovery — in 15 other listings on The Stack
- Customer research — in 4 other listings on The Stack
- Feature delivery — in 2 other listings on The Stack
- Cross-functional collaboration — in 109 other listings on The Stack
- Data analysis — in 270 other listings on The Stack
- User stories
- AI-powered product features
- Stakeholder management
- Product roadmap
- Technical communication
- UX thinking
- IT operations
On The Stack (as of 2026-11-03)
Frequently asked questions about Nexthink
Is this Product Manager role still open?
It was posted on 2026-08-17. Listings more than 30 days old may no longer be active, so check Nexthink's site before applying.
Does Nexthink offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Nexthink's site.
Where is this role located?
The listing gives the location as Lausanne, Switzerland. It is marked hybrid.
What skills does this role ask for?
The listing names: Product management, B2B SaaS, Agile methodologies, Product discovery, Customer research, Feature delivery, Cross-functional collaboration, Data analysis, User stories, AI-powered product features, Stakeholder management, Product roadmap, Technical communication, UX thinking, IT operations.