Product Designer, AI-Native Products (Staff-Level / L6)

Accountabilities: Lead end-to-end product design: Own major AI-native product initiatives, from identifying user problems and framing opportunities to prototyping, delivery, launch, and continuous improvement. Define design vision and strategy: Establish the design direction for conversational and AI-powered product experiences while ensuring consistency across related product areas. Shape product decisions: Partner with Product and Engineering leaders to define product principles, establish quality standards, prioritize opportunities, and align design decisions with business objectives and user needs. Design conversational AI experiences: Create engaging, natural interactions with real-time AI avatars that support employee learning, skills development, practice, and workplace conversations. Develop intuitive AI workflows: Design interaction patterns for AI-driven and agentic systems, balancing automation with appropriate levels of user control, transparency, and trust. Improve AI output quality: Build structured workflows, contextual guidance, and feedback mechanisms that help users understand AI behavior, identify issues early, and refine results confidently. Prototype and validate emerging concepts: Experiment with new interaction models, including conversational and agentic experiences, using rapid prototyping and user testing to validate ideas and reduce uncertainty. Raise the design craft standard: Champion excellence in interaction design, visual design, usability, systems thinking, and consistency across AI-powered experiences. Champion customer needs: Incorporate user research, customer feedback, and product insights into design decisions, particularly for enterprise environments where quality, compliance, and scalability are essential. Influence cross-functional teams: Communicate design rationale clearly, facilitate productive design reviews, and help stakeholders navigate complex decisions in fast-moving and ambiguous product environments. Requirements Staff-level product design experience: Significant experience designing and shipping complex, high-usage digital products, with a demonstrated ability to lead major initiatives and influence product direction as a senior individual contributor. AI-native product expertise: Experience designing AI-powered products, agentic capabilities, conversational interfaces, or systems in which AI takes meaningful autonomous action is highly valuable. Exceptional design craft: Strong interaction and visual design skills, supported by a portfolio demonstrating high-quality execution and measurable improvements to the user experience. Strategic problem-solving: Ability to translate ambiguous, rapidly evolving challenges into clear product direction, actionable design principles, and well-defined opportunities without waiting for perfect information. Systems thinking: Understanding of how AI capabilities, model limitations, technical architecture, and product constraints influence user experience and interaction design decisions. Trust-centered design: Experience creating workflows where transparency, user control, reliability, and confidence in AI-generated outputs are essential. End-to-end ownership: Proven ability to take innovative ideas from early-stage exploration through validation, execution, launch, and ongoing optimization. Prototyping and experimentation: Ability to test concepts quickly, explore alternative interaction models, and determine when high-fidelity prototypes are needed to validate complex experiences. Cross-functional communication: Excellent communication skills and confidence presenting design decisions, facilitating reviews, and influencing stakeholders across Product and Engineering. Customer-focused mindset: Experience using user research, customer feedback, and behavioral insights to deliver solutions that address real needs, including enterprise requirements around quality, compliance, and scale. Leadership through influence: Ability to raise the quality bar, establish shared design principles, and guide teams toward coherent, effective product experiences without relying solely on formal management authority. Adaptability and ownership: A proactive, experimental approach to solving novel problems, embracing change, and balancing speed with thoughtful execution. Benefits Flexible, remote-friendly work: A Europe-based opportunity with flexibility to work remotely, subject to employment and location arrangements. International work hubs: Potential to work from offices in London, Copenhagen, Munich, or Zurich. Generous annual leave: 25 days of annual leave, plus public holidays applicable in your country of residence. Work-from-home support: A home-office setup to help you work comfortably and effectively. Global work flexibility: The opportunity to work from anywhere in the world for up to 60 days per year, subject to applicable policies and practical limitations. Referral rewards: Access to a generous employee referral scheme. Career growth: An opportunity to shape a market-defining AI product, influence strategic product decisions, and expand your impact in an emerging technology space. Meaningful design ownership: The chance to establish new interaction patterns and help define how people engage with AI in professional environments.