Product Designer (m/f/d)

📍 Job Overview

Job Title: Product Designer (m/f/d)

Company: Raisin

Location: Berlin, Germany

Job Type: Full-Time

Category: Product Design / UX/UI

Date Posted: September 07, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: Hybrid

🚀 Role Summary

• Design and deliver user-centered digital products and features, with a strong emphasis on integrating AI and agentic workflows to enhance user experience and internal operations efficiency.

• Drive the end-to-end design process for features related to customer registration, authentication, account management, and payments, ensuring a high standard of usability and security.

• Collaborate closely with product managers, engineers, and data specialists to translate complex technical and compliance requirements into intuitive and robust user interfaces.

• Contribute to and evolve Raisin's living design system, ensuring consistency, accessibility, and cohesion across micro-frontends and platforms.

• Proactively experiment with generative AI tools and novel design methodologies to explore concepts, build high-fidelity work, and maintain Raisin's position at the forefront of design innovation.

📝 Enhancement Note: This role is positioned as a mid-level Product Designer, indicated by the 3+ years of experience requirement and the expectation to "own design activities" while also being "guided by more senior design peers." The emphasis on AI, agentic workflows, and complex, regulated environments (FinTech) suggests a need for a designer adept at navigating intricate systems and ensuring user trust. The hybrid work arrangement implies a balance between in-office collaboration and remote flexibility.

📈 Primary Responsibilities

• Lead the design of customer-facing features such as registration, authentication, account management, and payment processes, incorporating AI to simplify interactions.

• Design and improve internal customer-service and operations tools to enhance efficiency and support for the customer base.

• Execute rapid prototyping using generative and agentic tools to quickly explore and validate bold design concepts with user feedback.

• Support larger end-to-end design discovery and delivery initiatives under the guidance of senior design team members.

• Ensure a high bar for quality and ethical guardrails in all design outputs, validating designs through qualitative research, operational metrics, and security/compliance feedback.

• Manage feedback loops to ensure AI-generated work meets stringent ethical and quality standards.

• Foster proactive collaboration with product managers, engineers, and data specialists throughout the design and development lifecycle.

• Partner with peers, engineers, and data specialists to experiment with and implement UX infrastructure for AI-driven features, focusing on personalization and security.

• Clearly articulate design intent, choices, and trade-offs to team members and stakeholders, soliciting and providing constructive feedback.

• Translate complex backend capabilities, AI/ML models, and agentic logic into user-friendly interfaces for both customers and internal teams.

• Integrate compliance requirements into designs to create experiences that are both robust and user-friendly.

• Adopt and contribute reusable UX patterns to the Raisin Design System, ensuring micro-frontend cohesion and consistency.

• Collaborate with the Design System team to maintain accessibility, consistency, and documentation across platforms.

• Contribute to the growth of the design system through spec-to-code delivery of components and scalable UX patterns.

• Stay current with AI capabilities and evolving design practices to maintain a sharp and innovative design approach.

📝 Enhancement Note: The responsibilities highlight a strong focus on product lifecycle ownership, from discovery to delivery, with an emphasis on AI integration and ethical considerations. The dual responsibility for both customer-facing and internal operations tools suggests a broad impact across the organization. The explicit mention of "spec-to-code delivery" indicates a hands-on approach to design implementation and collaboration with engineering.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and demonstrated practical experience in product design are paramount. A background in Design, HCI, Computer Science, or a related field would be beneficial.

Experience: Minimum of 3 years of experience in product design, with a preference for candidates with experience in FinTech, platform services, or other highly regulated and complex environments (e.g., healthtech, legaltech, high-stakes SaaS).

Required Skills:

• Product Design: Proven ability to create desirable, usable, and engaging digital products and features.

• User-Centered Design (UCD): Expertise in applying user-centered methodologies throughout the design process.

• AI/ML-Driven Features Design: Demonstrated experience designing for AI/ML-driven features, understanding concepts like system uncertainty, predictability, user trust, and error prevention.

• Rapid Prototyping: Proficiency in leading rapid prototyping activities using both traditional and AI-augmented tools.

• Generative & Agentic Tools: Practical experience using generative and agentic tools for concept exploration and high-fidelity work creation.

• User-Driven Validation: Strong practice with qualitative, quantitative, and analytics-based user validation techniques.

• Cross-Functional Collaboration: Ability to actively participate in workshops and collaborate effectively with product managers, engineers, data scientists, and AI/ML engineers.

• Storytelling & Communication: Excellent storytelling skills to clearly explain design intent, choices, and trade-offs to diverse stakeholders.

• Data-Informed Mindset: Comfort working with security, compliance, operational KPIs, and AI system metrics.

• Design Systems: Experience contributing to and working within living design systems, ensuring component and pattern consistency.

• Compliance & Regulation: Understanding of designing for regulated industries and integrating compliance requirements.

• AI Ethics & Quality: Ability to ensure AI-generated work meets high ethical and quality standards.

Preferred Skills:

• Conversational Interfaces: Experience designing conversational AI or chatbot interfaces.

• Human-in-the-Loop Mechanisms: Deep understanding of designing effective "human-in-the-loop" feedback mechanisms for AI systems.

• Micro-frontends: Familiarity with designing for micro-frontend architectures.

• FinTech Domain Knowledge: Specific experience or deep understanding of the FinTech industry.

• Agentic Workflow Design: Experience in designing and implementing agentic workflows.

• AI-Augmented Workflows: Proactive use of AI-augmented tools for research synthesis, copywriting, ideation, and delivery.

📝 Enhancement Note: The required skills emphasize a blend of traditional UX/UI expertise with cutting-edge AI design principles. The emphasis on complex environments and compliance suggests a need for meticulous attention to detail and a strong understanding of risk management in design. The preference for FinTech experience highlights the domain-specific challenges and opportunities.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Complex Product Design Examples: Showcase at least one significant project demonstrating end-to-end product design for a complex system, ideally within a regulated industry.

• AI/ML-Driven Feature Case Studies: Include detailed case studies of features you designed that leverage AI/ML, highlighting your approach to uncertainty, trust, and user feedback loops.

• Agentic Workflow & Conversational Interface Designs: Present examples of designs for agentic workflows or conversational interfaces, illustrating your understanding of these emerging interaction patterns.

• User Research & Validation: Demonstrate your process for user research, validation (qualitative, quantitative, analytics), and how insights informed your design decisions.

• Design System Contribution: Show evidence of your contribution to or utilization of design systems, including examples of reusable components or patterns.

• Technical & Compliance Translation: Examples of how you translated complex technical specifications or compliance requirements into usable and intuitive designs.

Process Documentation:

• Design Process Workflow: Clearly outline your typical product design process, from initial discovery and research through to delivery and iteration, including how you incorporate AI and data.

• Prototyping & Iteration: Detail your approach to rapid prototyping and iterative design, showcasing how you use feedback and AI tools to refine concepts.

• Cross-Functional Collaboration: Illustrate how you collaborate with product managers, engineers, and data scientists, providing examples of successful partnerships and problem-solving.

• Metrics & KPI Integration: Show how you integrate operational metrics, security KPIs, and AI system performance indicators into your design validation and improvement cycles.

📝 Enhancement Note: The portfolio requirements are highly specific, focusing on AI, complex systems, and regulated environments. Candidates must be prepared to demonstrate not just visual design skills but also a deep understanding of the strategic and ethical implications of designing with AI. The emphasis on process documentation means candidates should be ready to articulate their methodology clearly.

💵 Compensation & Benefits

Salary Range: For a mid-level Product Designer (2-5 years experience) in Berlin, Germany, a competitive annual salary range is estimated between €55,000 and €75,000. This estimate is based on industry benchmarks for tech roles in major German cities, considering the specialized nature of FinTech and AI design.

Benefits:

• Employee Development Budget: €2,000 annually, plus four full training days per year, for continuous professional growth and skill enhancement.

• Flexible Working Hours & Home Office: Offers significant flexibility to balance work and personal life, promoting autonomy.

• Generous Paid Time Off: 30 vacation days per year, providing ample opportunity for rest and rejuvenation.

• Company Pension Scheme (Betriebliche Altersvorsorge): Raisin supports this with a 20% contribution, contributing to long-term financial security.

• Urban Sports Club Membership: Subsidized membership (over €20/month) for access to a wide range of sports and fitness activities.

• Deutschland Ticket Subsidy: A €25/month subsidy towards public transportation for commuting or personal travel.

• JobRad Bike Leasing: A program allowing employees to lease a bike of their choice with tax advantages, including covered monthly insurance.

• On-Site Amenities: Snacks, daily fresh fruit, and drinks are provided in the office.

• Relocation Support: Assistance may be provided for candidates relocating to join the company.

Working Hours: The role is based on a standard 40-hour work week, with the benefit of flexible working hours to accommodate personal needs and optimize productivity.

📝 Enhancement Note: The salary range is an estimate based on typical compensation for Product Designers in Berlin with 2-5 years of experience in the tech sector, particularly FinTech. Benefits are comprehensive and designed to support employee well-being, professional development, and work-life balance. The inclusion of relocation support is a significant plus for international candidates.

🎯 Team & Company Context

🏢 Company Culture

Industry: FinTech, Platform Services. Raisin operates in the financial technology sector, providing a leading platform for savings and investment products that connects consumers with banks across the EU, UK, and US. This is a highly regulated and trust-sensitive industry.

Company Size: Over 800 employees, indicating a well-established and growing organization with a significant global presence. This size typically allows for specialized teams and a structured approach to operations and product development.

Founded: 2012. Founded in 2012, Raisin has over a decade of experience in the FinTech space, demonstrating stability and a proven track record. This history suggests a mature understanding of market dynamics and customer needs.

Team Structure:

• Design Team: Comprises Product Designers and Brand & Marketing Designers, fostering a collaborative environment focused on respect, creativity, and financial peace of mind.

• Cross-functional Collaboration: Strong emphasis on working with Product Managers, Engineers, and Data Specialists, with proactive and co-creative partnerships expected.

• Reporting Structure: While not explicitly detailed, the mention of "senior design peers" suggests a hierarchy within the design team, with opportunities for mentorship and guidance.

Methodology:

• User-Centricity & Empathy: Core to the design philosophy, aiming to build confidence and provide financial peace of mind.

• AI Integration: A forward-thinking approach to incorporating AI and agentic tools to enhance user experiences and operational efficiency.

• Data-Informed Decision Making: Utilizing qualitative research, operational metrics, and system performance data to guide design validation and iteration.

• Quality & Ethical Standards: Maintaining high standards for design quality and ethical considerations, especially concerning AI.

Company Website: https://www.raisin.com/

📝 Enhancement Note: Raisin's culture is characterized by a blend of FinTech pragmatism (regulation, trust, security) and a forward-looking approach to technology (AI, generative tools). The company's growth and global reach suggest a dynamic environment with opportunities for impact. The emphasis on diversity and inclusive culture is a key aspect for potential employees.

📈 Career & Growth Analysis

Operations Career Level: This role is at the Mid-Level Product Designer stage. It involves owning specific features and contributing to larger initiatives, while also receiving guidance from senior peers. It's a critical point for developing expertise in specialized areas like AI design and regulated FinTech environments.

Reporting Structure: The Product Designer will report to a Design Lead or Manager, with close collaboration expected with Product Managers, Engineering Leads, and Data Specialists within their product teams. This structure facilitates a holistic product development approach.

Operations Impact: The Product Designer's work directly influences customer acquisition, retention, and satisfaction by improving the usability and trustworthiness of Raisin's core platform features. They also impact internal operational efficiency by enhancing customer service tools. By translating complex financial and AI concepts into accessible interfaces, they contribute to Raisin's mission of opening up the global savings and investment market.

Growth Opportunities:

• Specialization in AI Design: Deepen expertise in designing for AI, agentic workflows, and generative tools, becoming a go-to person for these emerging areas.

• FinTech Domain Expertise: Develop a strong understanding of the FinTech landscape, regulatory challenges, and user trust dynamics, which are highly valuable skills.

• Design System Leadership: Contribute significantly to the Raisin Design System, potentially leading initiatives for new components or patterns.

• Mentorship & Seniority: Progress towards a Senior Product Designer role, taking on more complex projects, mentoring junior designers, and influencing design strategy.

• Cross-functional Leadership: Grow into roles that require leading design initiatives across multiple product areas or collaborating more strategically with leadership.

• Continuous Learning: Leverage the employee development budget and training days for courses, conferences, and certifications in areas like AI, UX research, or product strategy.

📝 Enhancement Note: The growth trajectory for this role involves developing deep expertise in a specialized, high-demand area (AI in FinTech design) and contributing to core company assets like the design system. The emphasis on guidance from senior peers indicates a structured learning environment.

🌐 Work Environment

Office Type: Raisin operates with a hybrid work model, balancing in-office collaboration with remote work flexibility. This suggests an environment that values both structured teamwork and individual autonomy.

Office Location(s): The role is based in Berlin, Germany. Raisin has a significant presence in Berlin, likely with modern office facilities designed to foster collaboration and innovation. Specific office amenities like snacks, fruit, and drinks are provided.

Workspace Context:

• Collaborative Spaces: The hybrid model implies that office time will be used for team meetings, workshops, brainstorming sessions, and building relationships with colleagues.

• Tools & Technology: Access to industry-standard design software, prototyping tools, and potentially AI-powered design assistants. The company's focus on AI suggests that designers will be encouraged to leverage these tools.

• Team Interaction: Opportunities for regular interaction with product managers, engineers, data specialists, and fellow designers, fostering a dynamic and knowledge-sharing environment.

Work Schedule: A standard 40-hour work week with flexible working hours. This allows designers to manage their schedules effectively, balancing deep work sessions with collaborative activities and personal commitments.

📝 Enhancement Note: The hybrid model in Berlin is typical for tech companies aiming to attract talent while maintaining team cohesion. The emphasis on collaboration and access to modern tools suggests a productive and engaging workspace.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of CV and portfolio to assess basic qualifications and design experience, with a particular focus on AI/ML design and regulated environments.

• Portfolio Presentation & Discussion: A dedicated session where the candidate presents their portfolio, walking through key projects, design rationale, and impact. Expect in-depth questions about their process, decision-making, and specific contributions to AI-driven features.

• Technical/Design Challenge: A practical exercise, potentially involving a case study or a design problem related to Raisin's platform, AI integration, or operational tools. This might require demonstrating rapid prototyping skills or problem-solving within constraints.

• Cross-functional Interviews: Meetings with Product Managers, Engineers, and Data Specialists to assess collaboration skills, technical understanding, and ability to translate complex requirements.

• Team/Culture Fit Interview: Discussion with design team members or hiring managers to evaluate alignment with Raisin's values, design principles, and overall culture.

• Final Interview: Often with a senior leader to discuss overall fit, career aspirations, and final decision-making.

Portfolio Review Tips:

• Highlight AI/Agentic Work: Clearly showcase projects involving AI, ML, or agentic workflows. Explain the unique challenges and your solutions.

• Quantify Impact: Whenever possible, demonstrate the impact of your designs using metrics (e.g., conversion rates, task completion times, operational efficiency gains, user satisfaction scores).

• Showcase Process: Detail your thought process, research methods, iterative cycles, and how you navigated constraints (technical, compliance, ethical).

• Explain Trade-offs: Be prepared to discuss difficult design decisions, trade-offs made, and why certain approaches were chosen over others.

• Demonstrate Collaboration: Include examples of how you worked with engineers, PMs, and data teams, and how you communicated your designs.

• Tailor to Raisin: Ensure your portfolio presentation resonates with Raisin's mission, values, and the specific requirements of this role (FinTech, AI, complex systems).

Challenge Preparation:

• Understand Raisin's Product: Familiarize yourself with Raisin's platform, target audience, and business model.

• AI Design Principles: Review best practices for designing AI-driven features, focusing on trust, transparency, and user control.

• Complex System Design: Practice thinking through the implications of designing for regulated or technically intricate systems.

• Communication: Prepare to articulate your ideas clearly and concisely, especially when explaining technical concepts or AI logic.

📝 Enhancement Note: The interview process is designed to thoroughly assess both design craft and strategic thinking, with a strong emphasis on practical application of AI design principles and collaborative skills. The portfolio is a critical component, requiring detailed evidence of relevant experience.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable, industry standard), Sketch, Adobe Creative Suite.

• Prototyping & Interaction: InVision, Principle, ProtoPie.

• AI Design Tools: Given the role's focus, expect exposure to or use of generative AI tools for ideation, content creation, or rapid prototyping (e.g., Midjourney, DALL-E, ChatGPT for design assistance).

• User Research Platforms: UserTesting.com, Maze, Hotjar, or internal tools for qualitative and quantitative feedback.

Analytics & Reporting:

• Web Analytics: Google Analytics, Adobe Analytics, or similar platforms to track user behavior and feature adoption.

• Product Analytics: Amplitude, Mixpanel, or Pendo for in-depth user journey analysis and event tracking.

• Data Visualization: Tableau, Power BI, or Looker for creating dashboards and communicating insights from operational metrics and AI system performance data.

CRM & Automation:

• CRM: Salesforce, HubSpot (likely used by sales/marketing, but designers may need to understand data flows).

• Internal Tools: Raisin likely has custom-built internal tools for customer service and operations, which the designer will be tasked with improving.

• Project Management: Jira, Confluence, Asana for task tracking, documentation, and team collaboration.

• Design System Management: Tools or platforms for managing design system components, documentation, and version control.

📝 Enhancement Note: While specific tools aren't listed, the description points towards a modern tech stack, with a strong emphasis on design and analytics platforms. The inclusion of AI design tools is a key differentiator for this role. Experience with data visualization and project management tools is also crucial for effective collaboration.

👥 Team Culture & Values

Operations Values:

• Supportive: Building confidence by removing complexity, focusing on clarity, transparency, and consistency in user experiences.

• Delightful: Creating engaging and enjoyable designs through strong visuals, clear data, thoughtful copy, and moments of joy.

• Universal: Designing smart, intuitive, and adaptable experiences that anticipate user intent and remain familiar yet advanced.

• Authentic: Encouraging diverse perspectives, plain speaking, respectful disagreement, full commitment, and shared celebration.

• Data-Informed: Utilizing a data-informed mindset, comfortable with security, compliance, operational KPIs, and AI system metrics to guide decisions.

• Proactive Learner: Embracing continuous learning and experimentation, especially with AI capabilities and augmented workflows.

Collaboration Style:

• Cross-functional Integration: A strong emphasis on proactive and co-creative partnerships with Product Management, Engineering, and Data Specialists.

• Open Feedback Culture: Encouraging clear, open, and respectful feedback exchange within the design team and across functions.

• Knowledge Sharing: A culture that supports sharing best practices, learnings from experiments, and insights from AI advancements.

• Process Optimization: A shared drive to continuously improve workflows and design processes for greater efficiency and higher quality outputs.

📝 Enhancement Note: Raisin's design values are clearly articulated and align with modern product development principles, emphasizing user empathy, innovation, and a data-driven approach. The culture fosters collaboration and continuous improvement, particularly in the context of rapidly evolving AI technologies.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Uncertainty: Navigating the inherent unpredictability of AI models and ensuring user trust and control in AI-driven features.

• Balancing Complexity & Usability: Translating intricate backend systems, AI logic, and strict compliance requirements into simple, intuitive user experiences.

• Maintaining Design Quality with AI Tools: Ensuring that the use of generative AI and agentic tools enhances, rather than compromises, design quality and ethical standards.

• Cross-functional Alignment on AI Features: Achieving consensus and effective collaboration with technical teams (data scientists, AI/ML engineers) who may have different perspectives on AI implementation.

• Evolving Design System: Contributing to and maintaining a living design system that supports new technologies like AI and micro-frontends, ensuring scalability and consistency.

Learning & Development Opportunities:

• AI Design Specialization: Opportunity to become a subject matter expert in designing for AI, machine learning, and agentic workflows.

• FinTech Domain Mastery: Gain deep insights into the financial services industry, regulatory landscapes, and user trust dynamics.

• Advanced Prototyping & Tools: Hands-on experience with cutting-edge generative AI design tools and advanced prototyping techniques.

• Cross-functional Skill Enhancement: Develop stronger collaboration and communication skills by working closely with technical and product experts.

• Design System Contribution: Play a key role in shaping and evolving a critical company asset, the Raisin Design System.

• Professional Development Budget: Utilize the €2,000 annual budget and training days for specialized courses, conferences, and certifications in AI, UX, or FinTech.

📝 Enhancement Note: The challenges are inherent to the role's focus on AI and regulated industries, presenting significant opportunities for skill development and specialization. The company actively supports growth through dedicated budgets and training.

💡 Interview Preparation

Strategy Questions:

• AI Design Philosophy: "How do you approach designing for AI systems where uncertainty is inherent? Can you walk me through a project where you addressed user trust and predictability in an AI feature?" (Preparation: Review your portfolio for AI-specific projects. Focus on how you handled error states, feedback mechanisms, and transparency.)

• Complex System Design: "Describe a time you had to translate complex technical or compliance requirements into a user-friendly experience. What was your process, and what trade-offs did you make?" (Preparation: Select a project that involved intricate rules or backend logic. Detail your translation process and the compromises involved.)

• Collaboration & Storytelling: "Imagine you need to explain a complex AI workflow to a non-technical stakeholder. How would you approach this, and what key elements would you emphasize?" (Preparation: Practice articulating technical concepts simply. Prepare a concise narrative that highlights user benefits and key functionalities.)

Company & Culture Questions:

• Design Principles Alignment: "How do Raisin's Product Design Principles (Supportive, Delightful, Universal, Authentic) resonate with your own design philosophy and past work?" (Preparation: Reflect on specific examples from your portfolio that demonstrate these principles.)

• FinTech & Trust: "What are the unique design challenges in FinTech, particularly concerning user trust and security, and how have you addressed them?" (Preparation: Research Raisin's business. Think about how design impacts trust in financial services.)

• AI Ethics: "How do you ensure ethical considerations are integrated into your AI-driven designs, especially concerning data privacy and bias?" (Preparation: Be ready to discuss your approach to ethical AI design and quality guardrails.)

Portfolio Presentation Strategy:

• Start with Impact: Begin by outlining the problem, your role, and the key business/user impact of your featured projects.

• Deep Dive on AI/Complex Projects: Dedicate significant time to discussing your most relevant projects (AI-driven features, complex systems, regulated environments). Explain your thought process, research, iterations, and outcomes.

• Showcase Process & Tools: Illustrate your design process, including how you use AI tools, prototyping, and user validation.

• Quantify Results: Use data and metrics to demonstrate the success of your designs. If quantitative data is unavailable, use qualitative feedback and user insights effectively.

• Be Ready for Technical Questions: Anticipate questions about your technical understanding, collaboration with engineers, and how you translate requirements.

• Engage and Ask Questions: Make your presentation interactive. Ask for feedback and be prepared to answer questions thoughtfully, demonstrating critical thinking and problem-solving skills.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical experience with AI design, navigating complex systems, and strong collaborative capabilities. Candidates must be able to articulate their process and the impact of their work, using specific examples from their portfolio.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on the greenhouse.io platform.

• Portfolio Customization: Tailor your portfolio to highlight 2-3 key projects that best demonstrate your experience with AI/ML-driven features, complex systems, and ideally, FinTech or regulated environments. Focus on showcasing your process, problem-solving, and measurable impact.

• Resume Optimization: Ensure your resume clearly states your years of experience, highlights relevant skills (AI design, UCD, prototyping, collaboration, data-informed mindset), and uses keywords from the job description. Quantify achievements where possible.

• Prepare Your Narrative: Practice presenting your portfolio projects, focusing on your role, design decisions, challenges faced, and the outcomes achieved. Be ready to discuss your approach to AI ethics, user trust, and cross-functional collaboration.

• Company Research: Thoroughly research Raisin's platform, mission, values, and recent news. Understand their target market and the FinTech landscape to articulate how your skills align with their business objectives and design culture.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.