Design Systems SpecialistWe are seeking a Design Systems Specialist to help scale and modernize a multi-product design system. This role will focus heavily on tokenization, Figma system architecture, and optimizing the design system for AI consumption. This is a highly cross-functional role working across design and engineering teams to establish a scalable, consistent foundation that supports multiple products, frameworks, and theming.Responsibilities include:Design and implement a scalable multi-product architecture, including library structure, naming conventions, token hierarchy, and theming model, that can support current and future products.Define and implement a robust design token architecture (colors, spacing, typography, etc.)Own tokenization strategy and ensure tokens are reusable, scalable, and exportable for engineeringImplement and optimize Figma wiring (variables, Tokens Studio, component connections) to enforce consistent token usageSupport both the existing Angular and new React component libraries; document how system components map to design tokens and variant conventions, ensuring the token pipeline outputs work correctly for both frameworksEstablish and manage theming capabilities (e.g., light/dark themes, multi-product themes)Audit the current design system and identify gaps in structure, documentation, and consistencyPartner with engineering to support design-to-code handoff, including alignment with token pipelines (e.g., Style Dictionary or equivalent)Define and implement design system governance (naming conventions, library structure, usage standards)Ensure all foundational elements (color palettes, ramps, typography scales, spacing systems) are structured and scalableIncorporate accessibility best practices, including color contrast and token-level complianceLead efforts to optimize the design system for AI consumption across all layers, token structure, component API documentation, Figma library hygiene, and machine-readable context files, and evaluate MCP server integration as a live connection layer for AI toolingAudit the current documentation as part of the broader system assessment and provide recommendations on how to improve its structure and leverage its capabilities to support token documentation and AI-readiness.
Act as a consultative, hands-on leader bridging design and engineering teams