Position Overview

The Lead Product Designer at KnowledgeCity sets the design direction for our entire suite of learning and workforce products, across web and mobile, in an AI-native operating model. Reporting to the Head of Product, you own the design system, the UX standards, and the UX Designer AI agent that Product Engineers use to design and build their products.

This is not a traditional designer role. You don't hand off mockups; you design the system that AI agents design with. You encode principles, patterns, and components into agent skills, use AI to research, prototype, and audit at a speed no traditional team can match, and personally lead the critical cross-product experiences. Your success is measured by the quality and consistency of everything AI produces across the platform.

Key Responsibilities

AI-Native Design System: Own and evolve the design system, design tokens, and component library as a machine-readable source of truth that AI agents and code generators consume directly. Ensure it supports theming (company, app, and client branding), localization, right-to-left layouts, and accessibility.
UX Designer Agent Ownership: Own, configure, and continuously train the UX Designer agent: write and maintain its skills, prompts, and design rules, define its review criteria and quality gates, and improve it from audit results, so any Product Engineer operating it gets consistent, production-quality designs.
AI-First Design Workflow: Use AI end to end in your own work: generate and iterate concepts, build interactive prototypes in code, synthesize research, write UX copy, and produce documentation, moving from idea to validated prototype in hours, not weeks.
Design-to-Code Quality: Work with Product Engineers and their AI Developer agents so that designs translate directly into working UI. Review AI-generated screens and front-end output against the design system before release.
Cross-Product Experience Design: Personally design the experiences that tie the platform together: the platform home for employees and administrators, client-branded homepages and templates, app navigation and switching, sign-in, and the transitions between products.
AI-Powered UX Audits: Run continuous UX audits across all products with the UX agent in auditor mode, score them against the standards, and turn findings into prioritized tickets for each Product Engineer.
Accessibility & Localization: Ensure every new feature meets WCAG 2.1 AA, and that RTL and multilingual experiences are first-class, with these rules built into the agent's skills, not checked after the fact.
Research & Validation: Run lightweight user research and usability testing with clients, admins, and end users, using AI to synthesize findings and analytics, and validate designs before they are built.
Design Governance & Documentation: Maintain versioned design standards, decision records, and agent skills in Confluence and the product tool; log design feedback as tickets under each product's epic and track it to resolution.
Leadership & Continuity: Lead design across the portfolio, coach Product Engineers on design quality and on operating the UX agent, and work in tandem with the design team so design work never stops when one person is unavailable.

Skills and Qualifications

Experience

7+ years of product design experience (UX and UI), including at least 2 years leading design 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, daily use of AI in design work: AI design and prototyping tools, LLMs (such as Claude or ChatGPT), 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: complex admin experiences, dashboards, data-heavy screens, and end-user flows.
Expert in Figma (components, variants, auto layout, libraries) and comfortable prototyping directly in code.