Senior AI Product Visual Designer (AI -Projects)
About the roleWe'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 doOwn 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 youAre 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 haveResearch 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 stackDesign/Collab: Figma, FigJam, Notion, Linear/Jira, GitHub/GitLab, SlackAI-assisted build: Claude Code , Lovable , bolt.new , ReplitResearch & testing: Lookback/UserTesting, Dovetail-style repos, Maze/Useberry, Hotjar/FullStory, Typeform/QualtricsAutomation/prototyping: Make , Zapier, n8n • Backends: Supabase/Firebase/AirtableWhat success looks like in 90 daysCreate a High fidelity design in Figma with proper prototype and Figma makeDeliver 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 & compensationCompetitive salaryFlexible, fully remote workRegular learning opportunity for AI/design/research tooling(We're open to candidates worldwide. Please note your preferred working hours/time zone )#J-18808-Ljbffr