Product Designer

Own design activities to launch and improve features that help customers register, authenticate, manage their accounts, and make payments. Look for places where AI can make complex interactions simpler. Support larger end-to-end design discovery and delivery, guided by more senior design peers.

What you'll do

• Own design activities to launch and improve features that help customers register, authenticate, manage their accounts, and make payments. Look for places where AI can make complex interactions simpler.
• Own design activities to improve internal customer-service and operations tools to help serve our customer base.
• Lead rapid prototyping activities. Use generative and agentic tools to turn bold concepts into something people can try and share feedback on.
• Make quality a habit: validate quickly, and iterate. Use qualitative research, operational metrics, and security and compliance feedback to keep UX guardrails clear and real.
• Work with product managers, engineers, and data specialists to design and ship high-quality experiences.
• Translate complex backend and platform capabilities, including AI/ML models and agentic logic, into interfaces that customers and internal teams can easily use.
• Adopt reusable, flexible UX patterns, and add new ones when needed. Work closely with the team responsible for the Raisin Design System.

What you'll need

• 3+ years in product design, ideally in fintech, platform services, or another highly regulated, complex environment where trust, long-term decisions, and compliance really matter.
• A portfolio that shows strong product design experience in complex products and systems: user-centered methods, and real examples of AI/ML-driven features, agentic workflows, or conversational interfaces.
• A clear understanding of how to design for AI: system uncertainty, predictability, user trust, error prevention, and human-in-the-loop feedback mechanisms.
• Practice with user-driven validation techniques: qualitative, quantitative, and analytics-based.
• Ability to take active part in cross-functional workshops with engineering-heavy partners such as data scientists and AI/ML engineers.
• A data-informed mindset. Comfortable working with security, compliance, operational KPIs, and AI system metrics.
• Strong storytelling that keeps stakeholders and peers with you as you walk them through your design decisions.

What they offer

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• Company pension scheme (Betriebliche Altersvorsorge), supported with 20%.
• Access to 50+ different sports with Urban Sports Club.