Recooty
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr