Product Manager
Stellenbeschreibung
Overview
As Product Manager for Workspace, you own end-to-end delivery of AI-native features that shape how IT and employees interact with their digital environment. You will partner with engineering, design, and cross-functional teams to execute a bold roadmap and unblock high-value work. You’ll translate user insights into prioritized opportunities, measure outcomes, and influence product direction in a fast-moving, collaborative setting. Your work helps millions of employees benefit from optimized digital experiences and proactive IT management.
Leistungen / Benefits- Permanent contract
- Hybrid work model
- Flexible hours and unlimited vacation
- Company-paid volunteer days
- Fitness centre access
- Travel and language learning reimbursement
- Own end-to-end delivery for parts of the Workspace product from discovery to release
- Conduct ongoing customer research to understand needs and translate insights into opportunities
- Document feature requirements with clear rationale for engineering
- Lead agile ceremonies with engineering and design teams
- Collaborate cross-functionally to plan launches and ensure organizational alignment
- Define success metrics and monitor outcomes post-release to drive improvements
- Build relationships with customers and stakeholders, representing the voice of the customer
- Stay informed on AI, digital employee experience, and enterprise SaaS trends to steer direction
- 3–5 years of Product Manager experience in a B2B SaaS company
- Familiarity with AI-powered product features
- Proven ability to drive end-to-end product delivery with minimal oversight
- Strong discovery skills: customer interviews, qualitative and quantitative synthesis
- Excellent collaboration and stakeholder management across functions
- Strong written and verbal communication; ability to write user stories and present to leadership
- Self-starter, proactive and ownership mindset
- Professional-level English, spoken and written
- collaboration
- communication
- proactive mindset
- AI-powered product features
- agile product development
- discovery methodologies (e.g., JTBD, continuous discovery)
