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About This RoleAI processing…
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.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy .
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
Key Responsibilities
- 1Design and maintain Workbench components and patterns, including complex components with variables, variants, and tokenized styles
- 2Own and evolve semantic and functional token architecture as we execute the Brand Refresh and move toward theming
- 3Work 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.
- 4Contribute 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
- 5Support product designers and engineers through Office Hours, Slack, and async review
- 6Document and publish design decisions, usage guidance, and component rationale
- 7Participate 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 while remaining collaborative and service-minded.
- Additional Experience: Experience with LLM-readable documentation, MCP servers, or AI-assisted design tooling.
Perks & Benefits
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