Description
Product Design Engineer, Employee Experience AI
• The Employee Experience (EX) team is building a suite of AI-powered tools that make work better for employees and managers. We're looking for a Product Design Engineer who builds what they design — someone who thinks in interaction patterns and user flows, can prototype in high fidelity, and is just as particular about the craft of a micro-interaction as they are about the quality of the component underneath it.
• This is not a graphic design or traditional UX role. The work sits at the intersection of employee experience and AI-native product design, and you'll be working directly in our codebase alongside AI engineers as a peer. That means thinking beyond screens and static flows, into the emerging vocabulary of AI interaction: how do you design for uncertainty, latency, and outputs that aren't fully predictable? If that's the kind of challenge that excites you, this role was written for you.
• Portfolio required. We want to see a mix of design work and the code or prototypes behind it.
Duties
• Help define the design language for our AI-native employee tools, building on Design Language System where it fits and establishing new patterns, components, and principles where the demands of employee experience require something distinctly our own.
• Design and iterate on experiences for AI-powered tools across EX's four signature services: Gathering, Onboarding, Performance Management, and Workforce Planning
• Design, prototype, and productize AI-powered experiences across EX's four signature services (Onboarding, Gathering, Performance Management, etc.), using Figma, Claude Code, and our broader toolset
• Hands-on experience designing for agentic or AI-native interfaces, including multi-step task flows, proactive systems, and experiences where the user is collaborating with AI across input types (text, voice, and ambient) as products evolve beyond traditional screen-based flows
• Familiarity with how LLM-based systems actually behave – including orchestration patterns, model handoff, and how to design meaningful user control when the system is acting on someone's behalf
• Partner with AI engineers and product managers on EX's internal production platform (Hyperloop), bridging design intent and technical execution through the full build cycle
• Conduct lightweight usability testing with employees and managers to validate and iterate on design decisions
• Contribute to the EX AI knowledge base by ensuring tool documentation and user-facing content is clear, well-organized, and visually consistent
Requirements
• 5+ years of UX/UI, product design, design engineering, or hybrid design/frontend role, with a portfolio that includes web application work
• Expertise with Figma, specifically experience designing, modifying, and maintaining component specs and systems
• Strong React proficiency and working knowledge of HTML and CSS; you should be comfortable working directly in a codebase, contributing to pull requests, and collaborating with engineers as a technical peer
• Experience designing AI-native or conversational interfaces, with a solid understanding of the design challenges unique to LLM-powered products: streaming responses, ambiguous outputs, multi-turn flows, and building trust with users when the system is inherently dynamic; experience with the Claude API or similar is a strong plus
• Strong instincts around information architecture and emerging AI interaction patterns, informed by hands-on experience with tools like the Google AI Suite, Claude Enterprise, Glean, or similar
• Experience designing for non-technical end users in an enterprise or internal tools context, with the craft of consumer-grade products
• Comfort moving fast with incomplete information, our tools and user needs are evolving and your designs will too
• Nice to Have
• Prior experience designing a formal design system, not just consuming or contributing to it
• Experience with HR tech, people operations tools, or workplace experience products
• Experience working in or alongside a platform engineering team
Compensation
• $122.56 – 137.93/hr W—2
Req ID
• 37309154