Own the Design System: Own the system end to end, from components and documentation to governance and the roadmap. You’ll drive what gets built next and pull in design leadership where you need support.
Build for Scale: Build and evolve a system that goes from tokens through atomic components to composed patterns, holds up across platforms, and is structured so our AI agents can generate on-system experiences, working alongside the engineers who implement it.
Iterate Rapidly: Prototype and pressure-test components and patterns, iterating on them with the designers and engineers using them and against user feedback and business goals.
Make Documentation Self-Sustaining: Own how the system is documented by designing the tooling and process that keep guidance current and useful, so designers, engineers, and our AI agents know not just what a component is, but when and why to use it.
Stay in the Product: Take on end-to-end product design work that stress-tests the system in real use.
Serve Design and Engineering: Build deep relationships with the designers and engineers who depend on the system, understand what’s blocking them, and prioritize the work that unblocks them.
Socialize and Govern: Drive adoption across teams, review contributions, and hold the quality bar with guardrails that keep what ships on-system whether a person or an agent is building it, without becoming a bottleneck.