Responsibilities
- Evaluate current product interfaces and design materials to pinpoint key areas for standardization, consolidation, and reduction of inconsistencies.
- Establish a clear information architecture for the design system, including naming conventions, taxonomy, component hierarchy, and documentation layout, to support both human and AI navigation and usage.
- Collaborate with design, engineering, and leadership teams to develop a prioritized, actionable roadmap that balances immediate product demands with long-term scalability.
- Develop and implement a scalable design token strategy covering color, typography, spacing, elevation, and motion, with a synchronized pipeline across Figma, code, and Storybook.
- Work closely with front-end developers to convert design system elements into reusable, well-structured components with intuitive APIs, proper states, and built-in accessibility features.
- Manage the full lifecycle of components, including version control, release documentation, deprecation planning, and cross-team handoffs.
- Design a low-friction contribution process that enables designers, engineers, and product managers to propose, review, and integrate new components without excessive oversight.
- Produce practical, widely adopted documentation with usage guidelines, examples, decision rationales, and structured formats that are accessible to both people and AI agents.
- Lead adoption efforts by focusing on high-impact areas, shipping improvements incrementally, and demonstrating tangible product enhancements.
- Determine how AI agents can assist in auditing, tagging, and maintaining system integrity, and define where human oversight is required for decisions like naming, deprecations, and new patterns.
- Shape the development pipeline that transforms Figma designs or product prompts into validated Storybook components using AI tools, with quality control checkpoints for consistency, accessibility, and brand alignment.
- Ensure the design system is interpretable by AI by structuring components, tokens, and patterns with clear naming and documentation so that automated outputs are production-ready.
- Define measurable success criteria and monitor key metrics such as adoption rates, UI consistency, design and development speed, accessibility gains, and AI output quality.
- Collaborate with Research and Data teams when applicable to link design system updates to measurable product outcomes like quality, user trust, and conversion efficiency.
Compensation
The US national base salary range for this full-time position is $165,000 - $292,000. Actual pay varies by location, skills, experience, and education. Base salary does not include bonus, equity, or benefits. Additional details on US benefits are available at https://www.ethoslife.com/careers/
Work Arrangement
Remote (Worldwide)
Other
- The US national base salary range for this full-time position is $165,000 - $292,000.
- Salary ranges are determined by role, level, and location.
- Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
- Compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.
- You can find further details of our US benefits at https://www.ethoslife.com/careers/
