Product Designer, Design Systems AI skills San Francisco , USA Assembled 2 AI agents AI tooling Gov

Assembled builds a unified platform that coordinates human agents and AI for customer support and is backed by $71M from NEA, Emergence Capital, and Stripe. The company is hiring a product designer to lead the next generation of its design system, defining visual and interaction foundations, components, patterns, and reusable interaction patterns for AI-native products. The role involves partnering with a Design Systems Engineer to pioneer AI-assisted design-system workflows and extend the system through complex product problems. This is an onsite role based in the San Francisco office, five days a week (Monday–Friday). What you'll do Lead the next generation of Assembled's design system, defining visual language, interaction foundations, components, and patterns across desktop and mobile. Create documentation, a contribution model, and governance for how the system evolves and is adopted by designers and engineers. Define reusable interaction patterns for AI-native products for how people direct, trust, review, and collaborate with AI agents. Partner with the Design Systems Engineer to use coding agents to generate production-quality UI, measure component usage and adherence, and speed design-to-implementation. Work with product teams to convert solutions for data-dense, high-complexity workflows into reusable patterns that improve the product. What they're looking for 4+ years designing and shipping production B2B software, with meaningful ownership of a design system used across multiple teams or products. Exceptional visual craft and a high bar demonstrated in shipped work. Systems thinking and the ability to design primitives and reusable patterns that scale across a product. Hands-on experience structuring Figma libraries, tokens, variables, components, and documentation for use across multiple teams. Ability to collaborate with frontend engineers on component APIs, responsive behavior, accessibility, states, and implementation tradeoffs. Ability to create approachable systems, explain decisions clearly, and enable other designers without becoming a bottleneck. Bias toward shipping, comfort with ambiguity, and preference for user feedback and testing over perfection in isolation. Excitement about AI-native design workflows and how a design system can guide and accelerate what people and agents build. #J-18808-Ljbffr Into Design Systems