About the company
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
Responsibilities
- Design and maintain Workbench components and patterns, including complex components with variables, variants, and tokenized styles.
- Own and evolve semantic and functional token architecture as we execute the Brand Refresh and move toward theming.
- Work closely with our engineering team to ensure component consistency including coded implementations — pairing on design decisions, reviewing implementations, contributing to technical plans, and committing your own PRs.
- Contribute to AI tooling that helps designers and engineers use Workbench correctly — including structured documentation, storybook examples, and content that makes the system legible to LLMs.
- Support product designers and engineers through Office Hours, Slack, and async review.
- Document and publish design decisions, usage guidance, and component rationale.
- Participate in systemic decisions about component architecture, naming conventions, and migration strategy — especially in the context of the ongoing Brand Refresh.
Requirements
- Design Systems Experience: 4+ years working on a product design systems team through the full lifecycle — design, implementation, documentation, and adoption. Experience with token architecture and component API design is required.
- Product Design Experience: 7+ years experience working on a product design team.
- AI Fluency: Genuine experience using AI tools (Claude, Copilot, or similar) as a meaningful part of your workflow — not just experimentally. Comfort directing AI assistance, evaluating its output, and knowing where human judgment is required.
- Technical Acumen: Ability to pair effectively with engineering, understand technical plans and constraints, and contribute meaningfully to implementation decisions and code repos.
- Accessibility Minded: A solid understanding of WCAG AA guidelines and how accessibility considerations shape component and token decisions.
- Technical Skill: Expert knowledge of AI design tools and Figma, including complex component construction, variable and token usage, prototyping, and basic Github process.
- Design Integrity: High degree of design craft and polish, with a strong point of view about what good looks like in a design system.
- Communication: Documentation expertise and the ability to educate and align peers across disciplines. Demonstrated ability to advocate for systemic consistency.