UX Product Designer (Networking)

• Know your product area deeply: understand the jobs to be done, how competitors solve them, and where the gaps are.
• Frame your work so it clearly ladders up to the long-term product vision; assist PMs and senior designers in bringing strategic vision work to life through mocks, decks, and written narratives.

Research & Insight (Pillar 1 - Scaled Empathy)

• Define the questions to ask and the problems to explore; state clear problem statements grounded in research and data, and align your team on them before designing.
• Run

: use tools in the class of User Intuition, Listen Labs, and Perspective AI to automate recruiting, moderate asynchronous interviews, and adaptively probe "why" across hundreds of users.

• Synthesize unstructured data - support calls, transcripts, feedback, tickets - into converged insight using AI thematic clustering (e.g., Dovetail, CoLoop, Enterpret).
• Interpret product metrics and make data-informed decisions; use AI-native analytics (e.g., Fullstory frustration signals, Mixpanel/Amplitude AI assistants) to diagnose behavior and connect findings directly to design choices.

Craft & Vibe Design (Pillar 2 - From Pushing Pixels to Vibe Design)

• Explore a wide breadth of visual directions and articulate the trade-offs of each; know when an industry pattern works and when it should be pushed further.
• Build prototypes that go beyond click-throughs - motion, transitions, and states that feel like the real thing. Increasingly, prototype in

by guiding AI agents (VS Code, Claude Design, Lovable, v0, Cursor, Replit, Bolt) that are grounded in our design system, accessibility standards, and user context.

• Practice the Product Builder working mindsets: •

- run multiple agent workstreams concurrently and context-switch between them deliberately.

• Consider edge cases when designing within complex systems; document your part of the system so others can build on it.

Innovation Moat (Pillar 3 - The 90/10 Rule)

• Let AI generate the 90% of commodity UI (forms, lists, settings) quickly - then invest your full manual craft in the 10% magical experience that AI can't replicate: the product's soul.
• Contribute components and patterns to the design system as a "UI toolbox" that AI agents can reliably assemble from - the foundation of Generative UI.

Evaluation (Pillar 4 - Agent Eval)

• Treat AI features as non-deterministic systems: help define what "good" and "bad" experiences look like before shipping.
• Contribute

- clarity, helpfulness, tone, and brand alignment - that make experience quality measurable.

• Partner with research and PM on golden datasets and operating limits, and support the path toward scaled evaluation (LLM-as-a-Judge) rather than one-off spot checks.

Collaboration & Impact

• Communicate clearly and concisely in writing; present work with a clear narrative and good context-setting, and grow your confidence leading meetings.
• Maintain a predictable, transparent process - partners always know your priorities and cadence. Manage your bandwidth and speak up when your plate is full; triage feedback diligently so nothing falls through the cracks.
• Understand how your work contributes to the business and prioritize accordingly; follow through post-launch, host bug bashes, and propose improvements to lift your work's impact.
• Help other designers grow through feedback and skill shares; suggest and implement team culture improvements.

What You Need To Bring:

• Minimum of 3-5 years of product design experience.
• Strong foundations in visual design, interaction design, and design systems, with a portfolio showing breadth of exploration and articulated trade-offs.
• Hands-on fluency (or demonstrated fast learning) with at least one AI design-to-code / vibe design tool (e.g., VS Code, Claude Design, Lovable, v0, Cursor, Replit, Bolt, Stitch) and one AI research or analytics tool (e.g., Dovetail, Perspective AI, Fullstory, Mixpanel).
• Comfort working with data: you can read a funnel, question a metric, and let evidence guide your design decisions.
• A builder's temperament: bias toward working prototypes over static specs, curiosity over fear when tools break, and pride in the details that make an experience feel crafted rather than generated.

Nice to Have

• Experience designing for AI/agentic products (chatbots, copilots, generative UI).
• Exposure to evaluation practices for AI systems (rubrics, golden datasets, LLM-as-a-Judge).
• Familiarity with front-end fundamentals (React, Tailwind, component architecture) - enough to guide and review agent-generated code.