AI-Driven Product Design Lead (Design System)

Into Design Systems

United States

Remote

USD 120,000 - 180,000

Full time

5 days ago

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Job summary

KnowledgeCity seeks a Lead Product Designer to set the design direction for its learning and workforce tools across web and mobile within an AI-native operating model. You will own the design system, UX standards, and the UX Designer AI agent used by Product Engineers.

You will drive AI-enabled design, generate prototypes, review AI outputs against the design system, ensure WCAG 2.1 AA, RTL and multilingual support, and shape cross‑product experiences like admin dashboards and client-branded

Qualifications

7+ years product design experience including leadership across multiple products or a platform.
Proven ownership of a design system and component library used by several product teams, including design tokens and theming.
Hands-on use of AI in design work: AI design and prototyping tools, LLMs, and AI coding tools to build working prototypes.
Experience writing prompts, rules, or skills that make AI tools produce consistent, on-brand output and the judgment to review AI output critically.
Strong portfolio of end-to-end B2B SaaS work, including admin experiences, dashboards, and complex flows.
Expert in Figma (components, variants, auto layout, libraries) and comfortable prototyping in code.
Hands-on experience with WCAG 2.1 AA, RTL and multilingual product design.
Working knowledge of HTML, CSS, React and how designs are implemented by developers and AI agents.

Responsibilities

Own and evolve a machine-readable design system, design tokens, and a component library used by AI agents and code generators; ensure theming, localization, RTL support, and accessibility.
Configure and continuously train the UX Designer AI agent: write and maintain skills, prompts, and rules; define reviews and quality gates; improve it from audit results.
Use AI end to end in design work: generate concepts, prototypes, synthesize research, write UX copy, and produce documentation from idea to validated prototype.
Collaborate with Product Engineers and their AI Developer agents to translate designs into working UI; review AI outputs against the design system before release.
Design cross-product experiences such as platform homepages, client-branded templates, app navigation, sign-in, and transitions.
Run continuous UX audits with the AI agent and translate findings into prioritized tickets for Product Engineers.
Ensure WCAG 2.1 AA compliance, RTL and multilingual support built into the agent's rules.
Conduct lightweight user research and usability testing; use AI to synthesize findings and validate designs before build.