Senior AI Product Visual Designer (AI -Projects)

About the role We’re looking for a hands-on UX/Product Designer. This candidate should be able to design, research, prototype, and ship using Figma and AI-assisted tools. You’ll pair sharp product sense and mixed-methods design and research using tools like Figma , Framer Claude Code, Lovable, bolt.new, Replit, etc to move from discovery → wireframe → prototype → vibe- 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 Are fluent in Figma (auto-layout, variables, variants, tokens) and Figma → code workflows. Have 2–5+ 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. 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 Create a High fidelity design in Figma with proper prototype and Figma make 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 ) #J-18808-Ljbffr Brave achievers