Senior AI Product Visual Designer (AI -Projects)

Stellenbeschreibung:

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

Very strong visual designer, with that wow! effect
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 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.