1 день назад
Design Systems, Product Designer (AI)
147 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Design Systems, Product Designer (AI): Building and maintaining Workbench, an internal design system with an accent on component architecture, token systems, coded implementations, and AI-readable documentation. Focus on designing complex components, evolving theming and brand-refresh infrastructure, and integrating AI tooling such as MCP servers and evaluation systems into design workflows.
Location: Hybrid in Denver, San Francisco, or New York; office attendance is expected approximately 2–3 days per week. The San Francisco office expectation includes the San Francisco and San Jose metro areas. Symmetry roles are based in Scottsdale.
Salary: $147,000–$215,000 per year in Denver and $178,000–$253,000 per year in San Francisco and New York.
Company
provides payroll, health insurance, 401(k), and HR products for more than 500,000 small businesses.
What you will do
- Design and maintain Workbench components and patterns, including complex variables, variants, and tokenized styles.
- Own semantic and functional token architecture during the brand refresh and transition toward theming.
- Pair with engineers on design decisions, implementation reviews, technical plans, and code contributions.
- Develop AI tooling, structured documentation, Storybook examples, and content that makes the design system legible to LLMs.
- Support designers and engineers through office hours, Slack, async reviews, and usage guidance.
- Shape component architecture, naming conventions, design decisions, and migration strategy.
Requirements
- 4+ years on a product design systems team across design, implementation, documentation, and adoption.
- 7+ years of product design experience, with expertise in token architecture and component API design.
- Meaningful experience using AI tools such as Claude, Copilot, or similar, including directing and evaluating AI output.
- Technical ability to pair with engineering, understand constraints, contribute to implementation decisions, and work with code repositories.
- Strong understanding of WCAG AA accessibility guidelines and their impact on components and tokens.
- Expertise with Figma, complex component construction, variables, tokens, prototyping, and basic GitHub processes.
Nice to have
- Experience with LLM-readable documentation, MCP servers, or AI-assisted design tooling.
Culture & Benefits
- Full-time employees receive competitive base pay, benefits, and equity in the form of RSUs.
- AI tools are treated as a fundamental part of work across the organization.
- Work includes collaboration across Design, Research, Writing, Operations, Front-end Development, Product, Engineering, Data, and Marketing.
- Employees working outside an office location require a secure, reliable, and consistent internet connection.
- is committed to inclusive hiring and reasonable accommodations.
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