Product Designer, AI-Native Products
Pubblicato il 25-10-2026 - Jobgether in Campo di Ne
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Product Designer, AI-Native Products (Staff-Level / L6) based in Italy.
Join a forward-thinking team shaping the next generation of AI-powered workplace experiences. As a Staff-level Product Designer, you will lead the design of innovative, AI-native products that transform how employees learn, collaborate, and interact with intelligent systems. You will help make conversational AI and autonomous workflows feel intuitive, trustworthy, and genuinely useful in everyday work. Working closely with Product and Engineering leaders, you will influence product strategy, define design direction, and turn ambitious ideas into impactful experiences. This role combines strategic ownership with hands-on design excellence in a rapidly evolving technological landscape. If you thrive on ambiguity and enjoy solving complex problems where established design patterns are still emerging, this is an opportunity to shape the future of AI-driven interaction.
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