About us
ATOSS Software SE is Germany's market leader in Workforce Management (WFM) software, serving over 15,000 customers and 5 million employees worldwide. Listed on SDAX and TecDAX, ATOSS has delivered more than 20 % return on sales for ten consecutive years and holds a €2+ billion market capitalisation. Our mission is to shape the future of work — and we are now expanding that mission into the era of agentic AI.
If you're ready to drive impact in a high-performing B2B SaaS environment, this is your chance to elevate your career.
The Person You are
At ATOSS, we hire for both character and skill, seeking individuals who embody resilience, a pioneering spirit, and the passion to grow.
We value those who:
Think like entrepreneurs – taking ownership, pushing boundaries, and driving impact.
Challenge the status quo – bringing fresh ideas and bold execution to the table.
Thrive in change – seeing growth as a lifelong journey, both professionally and personally.
We don't just equip you for work—we prepare you for life.
The Role
AI is reshaping Workforce Management from the ground up. Scheduling copilots, demand forecasting agents, autonomous absence management, and shift bidding are no longer concepts but real capabilities, and our enterprise customers need a strategic partner who can translate that potential into measurable business value.
As Head of Product, Agentic AI, you will own the end-to-end product vision for AI-powered, autonomous features across the ATOSS WFM platform. You will be the voice of the customer, the architect of the roadmap, and the cross-functional leader who aligns engineering, design, sales, and senior stakeholders. This is a high-visibility, high-impact role at the intersection of enterprise software and frontier AI.
Key Responsibilities
Customer Discovery & Insight
- Lead structured discovery programmes with enterprise WFM customers, including executive interviews, on-site job shadowing, and quantitative surveys, to surface deep pain points and unmet needs.
- Synthesise findings into crisp problem statements, opportunity assessments, and validated hypotheses that the organisation can act on.
- Build and maintain a living customer insight repository tracking pain points, use case priorities, and willingness-to-pay signals across segments.
- Partner with Customer Success and Sales to continuously harvest real-world feedback from pilot deployments and live agentic features.
Product Vision & Roadmap
- Define and own the multi-horizon roadmap for agentic AI features, from near-term human-in-the-loop capabilities to longer-term autonomous workflow orchestration.
- Translate customer pain points and strategic opportunities into a prioritised, outcomes-driven backlog with clear success metrics, including adoption, time saved, error reduction, and NPS.
- Balance innovation ambition with enterprise requirements, including compliance, data privacy (GDPR), auditability, and change management for large hourly worker populations.
- Stay at the forefront of developments in LLMs, agent frameworks, and WFM-adjacent AI to inform where ATOSS should build, partner, or acquire capabilities.
Stakeholder Management & Influence
- Act as the strategic interface between executive sponsors, engineering and product leaders, UX, legal, and go-to-market teams, ensuring alignment on priorities and trade-offs.
- Lead quarterly roadmap reviews with executive stakeholders.
- Represent the product externally at customer advisory boards, analyst briefings, and industry events as ATOSS's thought leader on agentic workforce management.
- Influence without direct authority and build consensus across competing priorities in a matrixed, fast-moving organization.
Delivery & Execution
- Partner closely with engineering and design to move from discovery through definition, build, and launch using ATOSS's agile delivery model.
- Define clear acceptance criteria and launch readiness gates for agentic features, including safety, hallucination mitigation, and escalation handling requirements.
- Drive go-to-market collaboration with Product Marketing and Sales Enablement to launch features with measurable commercial impact.
- Monitor post-launch performance against KPIs and iterate rapidly based on telemetry and customer feedback.
Leadership & Communication
- Mentor other Product Owners and contribute to the continued growth of ATOSS's product culture and AI product practices.
- Communicate complex AI concepts clearly to non-technical stakeholders, bridging the gap between technical possibilities and commercial value.
- Champion a customer-centric, evidence-based product culture that focuses on outcomes over feature theatre.
Pricing Strategy & Monetization
- Partner with the Pricing Manager to define and validate monetization models for agentic AI features, evaluating usage-based, outcome-based, and tiered subscription approaches suited to enterprise WFM buyers.
- Translate customer value metrics, such as hours saved, scheduling accuracy, and reduction in manual interventions, into pricing anchors and willingness-to-pay hypotheses grounded in discovery insights.
- Contribute to packaging decisions, defining what is included in the core platform versus positioned as a premium AI add-on, with an eye on competitive positioning and land-and-expand motions.
- Track pricing performance post-launch, monitoring attach rates, expansion revenue, and price sensitivity signals, and feed insights back into the pricing strategy in partnership with the Pricing Manager.
Key Requirements
Must-Have
- 10+ years of B2B SaaS product management experience, including at least 2 years delivering AI or ML-powered features to enterprise customers.
- Demonstrated track record of running structured customer discovery programmes and translating insights into shipped, measurable product improvements.
- Experience building and managing multi-horizon roadmaps in complex, multi-stakeholder environments.
- Strong command of agile delivery and modern product management frameworks.
- Proven ability to influence and align senior stakeholders without direct authority.
- Strong understanding of AI concepts including LLMs, agent architectures, RAG, tool use, and orchestration, not as an engineer, but as a product leader who can make informed product decisions with confidence.
Nice to Have
- Domain expertise in Workforce Management, HR tech, or enterprise scheduling software.
- Experience with agentic AI product patterns (multi-step task agents, human-in-the-loop escalation, autonomous workflow orchestration).
- Familiarity with EU AI Act and GDPR implications for enterprise AI products.
- Experience in a public B2B SaaS company or scale-up with enterprise sales motions.
Our Benefits
- Competitive Rewards: Including profit-sharing and employee stock program.
- Structured Onboarding & Continuous Leadership Development: Clear career paths onboarding through Expert & Leadership Tracks, plus access to ATOSS Academy.
- Flexible Work Culture: Hybrid options (remote within the EU), 30 days of vacation, and a strong commitment to diversity & inclusion.
- Engaging Team Environment: Seasonal company events, team retreats, and an in-house barista.
- Health & Wellbeing: Including regular check-ups, corporate wellness programs, and Wellhub membership.
- Stability & Growth: Company listed on SDAX & TecDAX, with 19+ years of record-breaking revenue and a 30%+ EBIT margin. Certified Top Employer© for the 5th year in a row.
At Atoss, great talent knows no limits. We welcome professionals from all backgrounds and empower their growth through an inclusive, skill focused environment.
Join us and be part of a high-growth, future-focused company!
