- Hong Kong Hong Kong Hong Kong
Working Location
Job Description
Responsibilities
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.
Develop and maintain foundation standards and token architecture for color, spacing, radius, themes, modes, and platform variation, ensuring consistency between Figma and implementation.
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.
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.
Partner closely with engineers to ensure design intent, platform behavior, component APIs, and accessibility requirements remain aligned across Web, iOS, and Android.
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.
Drive adoption with product teams through consultation, enablement, migration support, and feedback loops; treat designers and engineers as users of the platform.
Apply quality acceptance criteria covering interaction states, responsive behavior, accessibility, compliance, and implementation-ready handoff.
Plan and deliver work transparently, manage dependencies, and track outcomes such as reuse, adoption, reduced rework, and faster implementation.
Demonstrated experience delivering reusable design-system components, patterns, or foundations in a complex digital-product environment.
Strong Figma capability, including component properties, variables, modes, libraries, and scalable file organization.
Working knowledge across design-system foundations, component architecture, and template systems, including tokens, theming, documentation, versioning, reusable business patterns, and contribution workflows.
Strong craft under ambiguity: able to explore, prototype, test, and refine detailed interaction and visual behavior.
Design-engineering fluency and comfort discussing implementation constraints, states, APIs, and platform differences.
An adoption mindset: you investigate user needs, make standards practical, and follow through until teams can use them successfully.
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.
Clear written and verbal communication, constructive collaboration, and the ability to explain system decisions to designers, engineers, and product partners.
Reliable operational ownership: able to scope work, communicate progress and risks, manage dependencies, and deliver with quality.
Product and business awareness, including the ability to connect design-system choices to speed, quality, risk, and reuse.
Working knowledge of accessibility, compliance, responsive behavior, and complete global-state design.
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