Design System Designer, OKDS
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Own scoped initiatives across Foundations, Components, or Templates + AI Tooling—from research and reuse validation through specification, release, adoption, and iteration—while contributing effectively across all three areas as priorities change.
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Develop and maintain foundation standards and token architecture for color, spacing, radius, themes, modes, and platform variation, ensuring consistency between Figma and implementation.
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Design and evolve OKDS core components and reusable business components with clear naming, variants, states, metadata, composition rules, and architecture suitable for designers, engineers, and AI-assisted workflows.
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Build reusable template systems and AI-readable guidance, and contribute to tooling infrastructure and validation workflows that improve AI pipeline readiness and production-quality output.
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Partner closely with engineers to ensure design intent, platform behavior, component APIs, and accessibility requirements remain aligned across Web, iOS, and Android.
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Prototype and improve AI-assisted workflows for template generation, component discovery, variant generation, specification, and quality review—while applying critical human judgment to the output.
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Drive adoption with product teams through consultation, enablement, migration support, and feedback loops; treat designers and engineers as users of the platform.
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Apply quality acceptance criteria covering interaction states, responsive behavior, accessibility, compliance, and implementation-ready handoff.
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Plan and deliver work transparently, manage dependencies, and track outcomes such as reuse, adoption, reduced rework, and faster implementation.
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Demonstrated experience delivering reusable design-system components, patterns, or foundations in a complex digital-product environment.
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Strong Figma capability, including component properties, variables, modes, libraries, and scalable file organization.
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Working knowledge across design-system foundations, component architecture, and template systems, including tokens, theming, documentation, versioning, reusable business patterns, and contribution workflows.
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Strong craft under ambiguity: able to explore, prototype, test, and refine detailed interaction and visual behavior.
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Design-engineering fluency and comfort discussing implementation constraints, states, APIs, and platform differences.
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An adoption mindset: you investigate user needs, make standards practical, and follow through until teams can use them successfully.
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Practical capability with AI-assisted design and development workflows, plus the judgment to assess tooling, strengthen pipeline readiness, and review generated output for correctness, consistency, and production readiness.
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Clear written and verbal communication, constructive collaboration, and the ability to explain system decisions to designers, engineers, and product partners.
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Reliable operational ownership: able to scope work, communicate progress and risks, manage dependencies, and deliver with quality.
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Product and business awareness, including the ability to connect design-system choices to speed, quality, risk, and reuse.
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Working knowledge of accessibility, compliance, responsive behavior, and complete global-state design.