Senior Product Designer, Agentic UX

Advisor360

50d•$180,000 - $200,000•Remote

About The Position

You're not just designing screens — you're defining how humans and AI systems work together in one of the most high-stakes industries in the world. This role sits at the intersection of product design, AI behavior design, and design system engineering, and it's built for someone who wants to set the standard for what agentic UX looks like in financial services. You'll be embedded with a product team building the conversational intelligence layer for Advisor360°'s platform — the AI assistant that advisors and their clients use to get things done. You're not downstream of decisions; you're in the room where the experience is defined, shaping what the product does before engineering picks it up.

Requirements

5+ years of product design experience, with a portfolio that demonstrates systems thinking alongside strong visual and interaction craft
Demonstrated experience designing for AI or ML-driven products — you understand non-deterministic systems and have designed correction and redirection affordances before
Deep hands-on fluency with Figma, including component architecture, design variables/tokens, and Auto Layout
Experience building or contributing to a shared design system, including governance, documentation, and cross-team adoption
Ability to prototype in code or with AI-assisted tools — you don't wait for engineering to test a concept
Strong product instincts — you can evaluate a plan's UX implications in a technical review, not just in a design critique

Nice To Haves

Experience designing conversational UI or chat-based interfaces, particularly in enterprise or regulated industries
Familiarity with WCAG AA standards and designing for accessibility at the system level
Exposure to financial services, wealthtech, or other compliance-sensitive product environments
Experience authoring structured AI-readable documentation (CLAUDE.md, prompt-based design governance, or equivalent)

Responsibilities

Own the experience definition for your product team — determine how advisors and clients interact with the platform, from AI message rendering to multi-modal response containers, before a single pixel is handed off
Define how the AI assistant participates as a UX actor — design the visual and behavioral patterns that distinguish AI messages from human ones, surface tool execution in-thread, and handle streaming responses gracefully
Design for three participants — advisor, client, and AI — each with distinct information needs, permission levels, and interaction patterns, including intent previews, confidence indicators, and progressive disclosure in chat
Build and maintain a design system built for agent consumption — semantic naming conventions, design token architecture, Auto Layout for responsive intent, and CLAUDE.md-encoded instructions that make the system executable by AI agents
Create predictability within uncertainty — establish structural consistency in tone, format, and response shape so users can build a mental model they trust even when AI output varies
Prototype fast and evaluate running builds — use Claude Code, Figma MCP, or equivalent AI tools to go from concept to testable artifact without waiting for engineering, then validate on functional prototypes rather than static mockups
Champion accessibility from the ground up — encode WCAG AA compliance into the token architecture by default, and own the UX-side of AI content distinguishability for regulatory purposes
Stay one sprint upstream — the next feature's UX is defined and approved before the current one ships, keeping the PM and Tech Lead unblocked and aligned