Mayflower
Design System Designer
Salary
Job description
Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement.
We are building the future of live entertainment. We believe that by providing people with the best and high-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together!
We’re looking for a Design System Designer to contribute to the evolution of our design system across product and engineering.
The role combines systems thinking with hands-on design of design system components — working within the UI kit and design system context to define, refine, and maintain reusable UI elements (inputs, controls, patterns), in close collaboration with product designers. In this role, you will be responsible for the consistency, quality, and ongoing evolution of the design system across product teams. This is a collaborative role at the intersection of design and engineering, working closely with frontend engineers and product designers to align standards and implementation practices.
Join our team and help shape the future of live entertainment!
Responsibilities
- Work on evolving and maintaining our existing UI foundation in Figma, Storybook, and code;
- Design and refine core UI components (inputs, buttons, form elements, patterns other UI components and patterns) as part of the design system;
- Refine and extend a scalable token architecture (primitive → semantic → component) with support for theming;
- Improve alignment between Figma, frontend implementation, and Storybook to ensure consistency across the product;
- Contribute to and improve the design-to-code workflow using Figma Variables, Tokens Studio, Style Dictionary, and CI/CD pipelines;
- Support migration of components toward a token-based structure, starting with the most impactful areas;
- Help shape and maintain contribution guidelines and system standards for design and engineering teams;
- Contribute to documentation and knowledge sharing to make the system easy to understand and use;
- Explore and support AI-assisted workflows, including structured and machine-readable design system practices.
