Brave achievers
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
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