About the role

We’re looking for a hands-on UX/Product Designer who can design, research, prototype, and ship using AI-assisted tools. You’ll pair sharp product sense and mixed-methods research with Claude Code, Lovable, bolt.new, Replit, and Figma ↔ Make/n8n automations to move from discovery → wireframe → prototype → coded MVP in days.

What you’ll do

• Own end-to-end product design: discovery, IA, flows, high-fidelity UI, and design systems.

• Run lean, rigorous research: problem framing, stakeholder interviews, user interviews, concept tests, usability studies, diary tests, and surveys.

• Synthesize insights: craft JTBD, opportunity trees, UX metrics, personas, and testable hypotheses; turn findings into clear decisions and roadmaps.

• Competitive & market analysis: use AI agents to scan markets, benchmark flows, and identify white space; create concise briefs for the team.

• Prototype & ship with AI: generate/refactor front-end code from your designs; validate with instrumented experiments.

• Design system stewardship: maintain tokens/components and keep them in sync with code repos.

• Instrument & measure: set up analytics, events, and A/Bs; translate results into next iterations.

• Champion accessibility and performance from day one.

You might be a fit if you

• Have 4–8+ years shipping user-facing products end-to-end.

• Are strong in mixed-methods research (qual + quant) and can work from fuzzy problems to crisp, evidence-backed decisions.

• Can read/modify HTML/CSS/JS (TypeScript/React a plus) and confidently use AI to accelerate high-quality code.

• Are fluent in Figma (auto-layout, variables, variants) and Figma → code workflows.

• Use AI tools well: Claude Code, Lovable, bolt.new, Replit; you know what to prompt, what to hand-edit, and how to review AI diffs.

• Communicate crisply, document decisions, and thrive in an async, remote environment.

• Understand WCAG, responsive design, and performance budgets.

Nice to have

• Research ops: repositories, tagging/coding (e.g., Dovetail-style), consent, and lightweight governance.

• Experimentation: GA4, Mixpanel, Amplitude; basic statistics for A/Bs; light SQL.

• Automation & no-code: Make, Zapier, n8n; Supabase/Firebase/Airtable for quick backends.

• Front-end: React/Next.js, TypeScript; component libraries & token pipelines (style dictionaries).

• Prior work on AI/LLM products, prompt design, or UI generated from models.

Our current tool stack

• Design/Collab: Figma, FigJam, Notion, Linear/Jira, GitHub/GitLab, Slack

• AI-assisted build: Claude Code, Lovable, bolt.new, Replit

• Research & testing: Lookback/UserTesting, Dovetail-style repos, Maze/Useberry, Hotjar/FullStory, Typeform/Qualtrics

• Automation/prototyping: Make, Zapier, n8n • Backends: Supabase/Firebase/Airtable

What success looks like in 90 days

• Deliver a research-backed opportunity brief (problem, user segments/JTBD, evidence, success metrics).

• Ship a coded prototype that improves a key metric (activation, conversion, or retention).

• Establish/extend a tokenized design system mapped to code.

• Stand up a lightweight research repository + analytics loop to guide iterations.

Benefits & compensation

• Competitive salary

• Flexible, fully remote work

• Regular learning opportunity for AI/design/research tooling

(We’re open to candidates worldwide. Please note your preferred working hours/time zone.)