- Own major AI-native bets end-to-end, from problem framing to shipped outcomes and iteration.
- Set a design vision for the Sessions surface and influence adjacent product areas to stay coherent.
- Partner with Product and Engineering to define design principles, quality standards, and success metrics.
- Prototype and test interaction models, including novel agentic and conversational patterns.
- Raise the bar on interaction design, UI quality, systems thinking, and consistency across AI-native experiences.
- Design conversational avatar experiences for employees learning and practising workplace skills.
- Create interaction patterns for AI-driven workflows that balance user control, transparency, trust, and complexity.
- Improve AI output quality through structure, guidance, and feedback loops.
- Use feedback from users and customers to ensure the product meets real needs, including enterprise needs around quality, compliance, and scale.