Staff Product Designer

About the role

LegalZoom's product design team builds in code, not just in mockups. As a Staff Product Designer, internally referred to as an AI UX Designer, you solve problems end to end and build the production-ready prototypes and components that prove out your thinking, then hand off directly to engineering. You're the person other builders turn to for the call on whether something meets the bar while it's being built, not after. Design judgment is the primary craft on this team: defining the right problem, exploring genuinely different directions, and knowing which one actually serves the customer. What sets this role apart is build fluency on top of that judgment, taking the strongest direction to a working, production-quality prototype yourself instead of handing off a static spec. Seniority on this team shows up as leading a domain, a product surface, an emerging AI experience, a growth surface, as a natural extension of doing the work well, not through a separate title or ladder.

Responsibilities

• Develop frameworks that simplify ambiguous problem spaces, and generate novel product directions grounded in genuine exploration of alternatives before converging.
• Build and ship functional prototypes at production quality, testing real interactions with real data rather than presenting static screens.
• Take features from requirements to shipped experience using AI development tools, contributing directly to front-end implementation where it improves the customer experience.
• Recognize gaps in the design system and initiate new patterns: build and document components that integrate with the system's architecture rather than working around it.
• Read and respond to CI/CD checks, visual regression, accessibility, token audits, before work reaches customers.
• Judge when AI-generated or AI-assisted work carries the intended design and when it needs refinement, closing that loop yourself instead of routing it through a separate review.
• Instrument what you ship so real usage feeds back into the next round of design, not just what shipped but how it performed.
• Help the cross-functional team make roadmap trade-offs, balancing speed and quality using AI to compress the build-test-learn loop without lowering the evidence bar.
• Shape how AI-powered features in your domain calibrate user trust: when to surface confidence, when to require confirmation, when to show alternatives.
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