About the role
Were 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. Youll pair sharp product sense and mixed-methods design and research using tools like Figma Framer Claude Code Lovable Replit etc to move from discovery wireframe prototype vibe-coded MVP in days.
What youll 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 25 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 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/ 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 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 protype 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
(Were open to candidates worldwide. Please note your preferred working hours/time zone )
About the roleWere looking for a hands-on UX/Product DesignerThis candidate should be able to design research prototype and ship using Figma and AI-assisted tools. Youll pair sharp product sense and mixed-methods design and research using tools like Figma Framer Claude Code Lovable Replit etc to m...
About the role
Were 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. Youll pair sharp product sense and mixed-methods design and research using tools like Figma Framer Claude Code Lovable Replit etc to move from discovery wireframe prototype vibe-coded MVP in days.
What youll 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 25 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 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/ 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 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 protype 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
(Were open to candidates worldwide. Please note your preferred working hours/time zone )
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