Design embedded, workflow-driven AI experiences — not bolted-on chat. Apply established guardrails (explainability, progressive disclosure, human-in-the-loop) from the Dela AI Holistic Framework and NN/g principles to concrete product surfaces.
Build working, high-fidelity prototypes using Cursor, Claude, GitHub, and Railway. Translate ideas into executable UX that engineers can pull from directly, rather than static mockups that require re-interpretation. Fluency with modern AI coding tools is core to the role, not a bonus.
Use the Harmony Design System as the default starting point. Contribute patterns and components back, flag gaps, and help keep design intent aligned with implemented UI across Figma, GitHub, and Railway.
Actively participate in usability testing, ProjectCon UX Labs, and validation sessions. Synthesize findings into concrete design changes and backlog-ready recommendations. Develop the instinct for which research questions matter most.
Go beyond “make the screen.” Ask why the workflow exists, who it serves, and whether the framing is right. Bring a point of view to design reviews and capability specs. Escalate when a requirement conflicts with good UX outcomes, and propose alternatives grounded in research and systems thinking.
Work as an embedded member of a product + engineering + UX fusion team. Contribute to capability specs and acceptance criteria, and participate in AI-assisted build/verify cycles alongside engineers.
3–6 years designing digital products, ideally with exposure to B2B, enterprise, or data-dense domains.
Demonstrated use of AI coding and prototyping tools (Cursor, Claude, Figma Make, or equivalents) in real product work — not just exploration.
Comfortable working in and contributing to a mature design system.
Early evidence of strategic thinking: reframing problems, questioning scope, and shaping direction — not only executing handoffs.
Collaborative, research-curious, and comfortable working close to engineering.
