AI Native Product Designer

Role definition: An AI Native Product Designer owns product experiences end to end - from problem definition through launch and iteration. They use AI tools as a core part of their workflow: starting in an LLM, prototyping in code-generation environments, and bringing validated concepts into Figma for systems and polish. They are accountable for outcomes, not just artifacts.

When to use this skill

Use this skill when the user (or task) involves any of the following:

• Defining or leveling an AI native design role, team expectations, or hiring criteria
• Auditing whether a team or designer is LLM-first, uses AI code tools for validation, and treats Figma as production polish (not the first canvas)
• Designing rituals (PRD drafts with AI, edge-case surfacing, prototype fidelity, handoff quality)
• Preparing interview rubrics, performance criteria, or self-assessment against a modern product-design bar
• Comparing traditional vs AI native ways of working for a specific workflow

Do not treat this document as legal or HR advice; adapt language to your org.

How you should respond

Unless the user asks for something else explicitly: