Senior UX/Product Designer (AI-Projects)

Commission; Deutschland; Remote; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading design consultancy is seeking a UX/Product Designer to own the product design process from discovery to prototype. Ideal candidates have 2-5 years of experience, are fluent in Figma, and engage in mixed-methods research. You'll work remotely and contribute to designing systems that leverage AI tools for product development while ensuring accessibility and performance.

Leistungen

Competitive salary

Flexible, fully remote work

Regular learning opportunities

Qualifikationen

• 2-5+ years shipping user-facing products.
• Strong in mixed-methods research.
• Experience with front-end code modifications.

Aufgaben

• Own end-to-end product design process.
• Conduct rigorous user research.
• Synthesize insights into actionable roadmaps.

Kenntnisse

Figma

Mixed-methods research

HTML/CSS/JS

AI tools usage

Communication

Tools

Claude Code

Replit

Zapier

Jobbeschreibung

About the role

We’re looking for a hands-on UX/Product Designer for our client BraveAchievers.com

This candidate should be able to design, research, prototype, and ship using 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 → 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

• 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.)