Senior AI Product Designer (all genders)

📍 Job Overview

Job Title: Senior AI Product Designer

Company: Avelios Medical

Location: Munich, Bavaria, Germany

Job Type: FULL_TIME

Category: Product Design / AI Product Development

Date Posted: August 18, 2026

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Spearhead the design of cutting-edge AI-powered product experiences within the healthcare technology sector, focusing on clinical workflows and data optimization.

• Drive product discovery and conceptualization for AI-driven features, translating complex machine learning capabilities into intuitive and trustworthy user interfaces.

• Collaborate closely with cross-functional teams, including Machine Learning engineers, Product Managers, Software Engineers, and medical experts, to ensure seamless integration and user adoption of AI solutions.

• Establish and evolve AI design principles and contribute components to a scalable design system, aiming to enhance user trust and operational efficiency in healthcare settings.

• Elevate the quality bar for AI-assisted healthcare software through hands-on design, rapid prototyping, and rigorous user validation.

📝 Enhancement Note: This role is specifically focused on the intersection of AI and Product Design within the healthcare industry, emphasizing the creation of user-centric experiences for complex clinical environments. The "Senior" designation implies a need for strong product thinking, leadership potential, and the ability to mentor others.

📈 Primary Responsibilities

• Design AI Product Experiences: Conceptualize and design AI-powered product experiences that address user needs, clinical requirements, and technical feasibility across critical hospital workflows such as medical documentation, patient summaries, and AI-powered search.

• Develop AI Interaction Patterns: Define intuitive interaction patterns for AI systems, including agent workflows, multimodal interactions, managing model uncertainty, and robust approval flows that empower clinicians and maintain user control.

• Drive Product Discovery: Lead the exploration of ambiguous problem spaces, transforming nascent ideas into well-defined concepts through iterative prototyping, user validation, and challenging existing assumptions to shape product direction.

• Cross-Disciplinary Collaboration: Foster strong partnerships with Machine Learning Engineers, Product Managers, Software Engineers, and clinicians to translate advanced AI model capabilities into practical, reliable, and user-friendly product features.

• Shape AI Design Foundation: Contribute AI-specific design components and interaction patterns to the company's design system, and help establish new AI design principles across the Avelios platform.

• Enhance User Trust: Recommend and implement best practices for introducing AI features to users, particularly those less familiar with technology, ensuring transparency and maintaining trust in AI-assisted tools.

• Raise Design Quality: Build high-fidelity prototypes, develop effective validation approaches for AI-assisted experiences, and contribute to a robust design culture through constructive feedback, knowledge sharing, and a commitment to exceptional design craft.

📝 Enhancement Note: The responsibilities highlight a blend of strategic design thinking, hands-on execution, and cross-functional leadership, crucial for a senior role in an innovative AI product environment. The emphasis on "clinicians in control" and managing "model uncertainty" points to a deep understanding of user safety and trust in high-stakes applications.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong academic background in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is typically expected for senior roles, complemented by a robust portfolio.

Experience:

• Minimum of 5 years of experience in designing complex software products, with a significant portion focused on B2B, enterprise, or other demanding environments where reliability and user trust are paramount.

• Demonstrated experience in designing AI-powered products, showcasing an understanding of non-deterministic systems, model uncertainty, verification, evaluation, and human-in-the-loop workflows.

• Proven ability to identify and mitigate common pitfalls associated with AI systems, and implement effective fallback strategies. Required Skills:

• Product Thinking & Strategy: Ability to translate complex user needs and business objectives into innovative product solutions.

• AI Product Design Expertise: Deep understanding of designing for AI, including managing uncertainty, enabling human oversight, and creating trustworthy interactions.

• UX Research & Validation: Proficiency in user research methodologies and techniques for validating AI-assisted experiences.

• Interaction Design: Skill in crafting intuitive and efficient user interactions for complex systems.

• High-Fidelity Prototyping: Expertise in creating detailed prototypes using tools like Figma, Sketch, or Adobe XD to test and communicate design concepts.

• Design System Contribution: Experience in contributing to or extending scalable design systems with new components and patterns.

• Cross-Functional Collaboration: Proven ability to work effectively with technical teams (ML Engineers, Software Engineers) and domain experts (clinicians, product managers).

• Visual Craft: A strong portfolio demonstrating exceptional visual design skills and attention to detail.

• Agile & Iterative Design: Experience working in fast-paced, ambiguous environments with a hands-on, iterative approach.

• English Fluency: Professional proficiency in English for communication and documentation.

Preferred Skills:

• Experience in the healthcare industry or other high-stakes domains (e.g., finance, aerospace).

• Proficiency in German, as solid proficiency is required.

• Familiarity with leveraging AI tools within the design process itself.

📝 Enhancement Note: The requirement for experience with "non-deterministic systems" and "human-in-the-loop workflows" is critical for AI product design in healthcare. Candidates should be prepared to showcase how they've handled the inherent unpredictability of AI and ensured user control and safety. The "high agency with a hands-on mindset" suggests a preference for proactive individuals who are comfortable experimenting and building rapidly.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 complex software product design projects, with a strong emphasis on B2B, enterprise, or healthcare applications.

• For AI-focused projects, clearly articulate the problem space, the AI capabilities leveraged, the design challenges faced (e.g., uncertainty, trust), and the specific interaction patterns developed.

• Demonstrate your product thinking by detailing the discovery process, user validation methods, and how your design decisions addressed user needs and business goals.

• Include examples of your visual craft and interaction design skills, illustrating your attention to detail and ability to create intuitive user experiences.

• Highlight contributions to or experience with design systems, showing how you've ensured consistency and scalability. Process Documentation:

• For each project, detail the design process followed, including user research, ideation, prototyping, testing, and iteration phases.

• Explain how you collaborated with engineers and product managers, providing examples of cross-functional communication and problem-solving.

• For AI projects, specifically document how you approached understanding model capabilities and limitations, and how you designed for transparency and user control.

• Showcase your ability to define and validate new interaction patterns for AI systems, illustrating the iterative refinement process.

📝 Enhancement Note: The portfolio is crucial for this role. Candidates should be prepared to walk through their projects, explaining their design rationale, the impact of their solutions, and specifically how they handled the complexities of AI design. A focus on process and quantifiable outcomes will be highly valued.

💵 Compensation & Benefits

Salary Range:

For a Senior AI Product Designer in Munich, Germany, with 5-10 years of experience, the estimated annual salary range is typically between €75,000 and €100,000 gross. This range can vary based on specific experience, the company's funding stage, and the overall compensation package including equity.

Benefits:

• Ownership & Impact: Opportunities to take ownership of projects and directly influence product direction.

• International & Startup Environment: Work within a motivating, informal, and international startup atmosphere with direct participation in the company's growth story.

• Hands-on Experience: Gain valuable experience in a venture capital-backed startup environment.

• Personal Development: Support for continuous learning, feedback, and skill enhancement.

• Flexible Working: Flexible working hours with trust-based time tracking.

• Equity: Virtual Stock Option Package (VSOP) providing participation in Avelios' long-term value creation.

• Allowances & Subsidies:

  • Monthly meal allowance (up to €75).

  • Full coverage of the Deutschlandticket (public transport pass).

  • Subsidized Urban Sports Club or Wellpass membership for fitness and wellness.

  • Bike leasing program.

  • Access to Corporate Benefits for discounts from various providers. Working Hours:

The role is based on a standard full-time commitment, with flexible working hours and trust-based time tracking, allowing for a good work-life balance.

📝 Enhancement Note: The salary estimate is based on current market data for senior product design roles in major German tech hubs like Munich, considering the specialized nature of AI product design and the startup environment. The benefits package is comprehensive, reflecting a modern startup's approach to employee well-being and long-term engagement, particularly the VSOP which is a significant draw for senior hires.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Technology (HealthTech). Avelios operates within a rapidly evolving sector focused on digitizing healthcare operations through innovative software solutions. The company aims to leverage cutting-edge technology to improve patient care by optimizing hospital workflows.

Company Size: As a growing startup backed by leading international VCs, Avelios likely falls into the small to medium-sized enterprise (SME) category, potentially ranging from 50-200 employees. This size fosters a dynamic, agile environment where individual contributions have a significant impact.

Founded: Founded recently (exact year not specified, but implied to be a growing startup), Avelios is characterized by its mission-driven approach to transforming healthcare operations. Its founding principles likely revolve around innovation, patient-centricity, and operational efficiency.

Team Structure:

• The Product Team is central to Avelios' success, encompassing Product Managers, Software Engineers, Machine Learning Engineers, and Product Designers.

• The Senior AI Product Designer will be a key member of the design sub-team, likely reporting to a Head of Product or Design Lead.

• Close collaboration with ML engineers and medical experts is a defining characteristic of the team's structure, ensuring AI development is grounded in both technical possibility and clinical reality. Methodology:

• Data-Driven Product Development: Avelios emphasizes unlocking clinical data to power its platform, suggesting a strong reliance on data analysis for product insights and decision-making.

• Agile & Iterative Workflows: As a startup, agile methodologies are likely employed for rapid development, prototyping, and continuous improvement of the software platform.

• User-Centric Design: The mission to provide user-friendly solutions for hospitals and clinicians underscores a commitment to user-centric design principles and extensive user validation.

• AI Integration: AI is not an add-on but a core component, indicating a sophisticated approach to integrating machine learning into the product lifecycle.

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

📝 Enhancement Note: The company's focus on "unlocking clinical data" and "seamless healthcare operations" points to a mission-critical product. The emphasis on AI as a core component suggests a forward-thinking technology stack and a culture that embraces innovation. The startup environment implies a fast-paced, collaborative, and potentially less hierarchical structure.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as "Senior," indicating a mid-to-late career stage. It requires a candidate who can operate with a high degree of autonomy, lead design initiatives, and contribute strategically to product direction. The "AI Product Designer" specialization signifies a niche expertise within the broader product design field.

Reporting Structure: The Senior AI Product Designer will likely report to a Head of Product, Lead Product Designer, or a similar senior management role within the product organization. They will work closely with Product Managers and Engineering leads on a day-to-day basis.

Operations Impact: The Senior AI Product Designer's work directly impacts operational efficiency within hospitals by designing tools that help clinicians work faster, make better decisions, and manage patient data more effectively. Their designs contribute to the core value proposition of Avelios: improving patient care through optimized healthcare operations. Success in this role means tangible improvements in clinical workflow efficiency and enhanced decision-making capabilities for healthcare professionals.

Growth Opportunities:

• Leadership in AI Design: Opportunity to become a thought leader and key influencer in AI product design within the company, shaping best practices and future strategies.

• Specialization Deepening: Continuous development and deepening of expertise in AI/ML product design, human-in-the-loop systems, and healthcare technology.

• Cross-Functional Mentorship: Potential to mentor junior designers and collaborate closely with cutting-edge ML engineers, fostering a rich learning environment.

• Product Strategy Contribution: Influence product roadmap and strategy based on design insights and user feedback, moving beyond execution to strategic input.

• Career Progression: Potential pathways into Lead Designer roles, Product Management, or specialized AI/ML UX research leadership positions as the company scales.

📝 Enhancement Note: The "Senior" title and the focus on shaping AI design foundations suggest a significant opportunity for professional growth beyond just executing design tasks. Candidates should look for opportunities to influence strategy and build expertise in a high-demand field.

🌐 Work Environment

Office Type: The role is designated as "On-site" in Munich, Germany. This suggests a traditional office environment where in-person collaboration is valued. This environment is likely designed to foster team cohesion and facilitate spontaneous interactions crucial for innovation.

Office Location(s): Munich, Bavaria, Germany. This location places Avelios within a major European tech hub, offering access to talent, networking opportunities, and a vibrant ecosystem. Specific office details (e.g., amenities, accessibility) would typically be provided during the interview process.

Workspace Context:

• Collaborative Spaces: Expect a workspace that encourages collaboration, with meeting rooms, project areas, and potentially open-plan designs that facilitate interaction between designers, engineers, and product managers.

• Technology & Tools: Access to modern design software, prototyping tools, and potentially AI-assisted design tools will be available. The company's commitment to cutting-edge technology suggests a well-equipped environment.

• Team Interaction: The on-site nature promotes regular face-to-face interaction with colleagues, fostering a strong team culture and facilitating the rapid exchange of ideas essential for complex product development.

Work Schedule:

The job description mentions "flexible working hours and trust-based time tracking." While the role is on-site, this flexibility allows employees to manage their schedules effectively, balancing core working hours with personal needs, as long as team collaboration and project demands are met.

📝 Enhancement Note: The "On-site" requirement in Munich, coupled with flexible hours, indicates a company that values in-person collaboration and team synergy but also offers a degree of work-life balance. This setup is common for startups aiming to build a strong, cohesive team culture.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with HR or a recruiter to assess basic qualifications, cultural fit, and interest in the role and Avelios.

• Portfolio Review & Design Challenge: A more in-depth session where candidates present their portfolio, discussing key projects, design process, and specific experience with AI product design. This may be followed by a take-home design challenge or an in-person/virtual whiteboard exercise focused on a specific AI design problem.

• Team Interviews: Interviews with key stakeholders, including Product Managers, ML Engineers, and fellow Designers, to assess technical skills, collaboration style, and problem-solving abilities.

• Final Interview: Typically with senior leadership (e.g., Head of Product, CEO) to discuss strategic alignment, career aspirations, and final cultural fit.

Portfolio Review Tips:

• Highlight AI Experience: Clearly showcase projects involving AI/ML, detailing the challenges and your approach to designing for non-deterministic systems and user trust.

• Demonstrate Process: Walk through your end-to-end design process for selected projects, emphasizing user research, ideation, prototyping, and validation.

• Quantify Impact: Where possible, present metrics or qualitative feedback demonstrating the impact of your designs on user experience and business outcomes.

• Storytelling: Frame your projects as compelling narratives, explaining the problem, your solution, and the lessons learned. Be prepared to discuss your role and contributions in detail.

• Tailor to Avelios: Emphasize projects or aspects of your experience that align with Avelios' mission in healthcare and their focus on AI-driven clinical operations.

Challenge Preparation:

• Understand AI Constraints: Be prepared for challenges that test your understanding of AI limitations, ethical considerations, and the importance of human oversight.

• Focus on User Needs: Demonstrate how you would translate complex AI capabilities into solutions that genuinely benefit clinicians and improve patient care.

• Iterative Approach: Show your ability to think through different solutions, consider edge cases, and outline a plan for testing and iteration.

• Communication: Clearly articulate your thought process, design decisions, and rationale. Practice explaining technical concepts simply.

📝 Enhancement Note: The interview process will likely be rigorous, focusing heavily on practical design skills, AI-specific knowledge, and the ability to collaborate within a fast-paced startup environment. The portfolio review is a critical gate, and candidates should prepare to articulate their contributions and learnings with clarity and depth.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Proficiency in industry-standard tools such as Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), and prototyping tools like InVision, ProtoPie, or Framer is essential.

• Collaboration Platforms: Experience with tools like Slack, Jira, Confluence, and Asana for team communication, project management, and documentation.

• AI Design Tools: Familiarity with or willingness to learn AI-powered design assistants and tools that can streamline the design process.

Analytics & Reporting:

• User Analytics: Experience with tools like Google Analytics, Mixpanel, Amplitude, or similar platforms to understand user behavior and product usage.

• Data Visualization: Ability to interpret and potentially contribute to dashboards (e.g., Tableau, Looker, Power BI) that track key product metrics and AI performance.

CRM & Automation:

• While not directly a CRM/automation role, understanding how product design integrates with CRM systems (e.g., Salesforce) and automation workflows (e.g., Zapier, HubSpot) can be beneficial for context.

📝 Enhancement Note: The company's focus on AI and healthcare implies a need for designers who are comfortable working with complex data and integrating with sophisticated backend systems. While specific tools aren't listed, a strong foundation in core design and prototyping software is a given, with an openness to new AI-driven design technologies.

👥 Team Culture & Values

Operations Values:

• Innovation & Cutting-Edge Technology: A strong emphasis on leveraging the latest AI and software technologies to solve complex healthcare challenges.

• User-Centricity & Patient Impact: A deep commitment to designing solutions that genuinely improve the lives of clinicians and, by extension, patients.

• Collaboration & Cross-Functional Synergy: Valuing teamwork and open communication between design, engineering, product management, and clinical experts.

• Data-Driven Decision Making: Utilizing data and user insights to inform design choices and product strategy.

• Agility & Adaptability: Embracing a fast-paced startup environment where flexibility and rapid iteration are key to success.

• Trust & Transparency: Building trust with users through reliable, understandable, and controllable AI-powered features.

Collaboration Style:

• Integrated Teams: Designers work closely and continuously with ML engineers, product managers, and software engineers, forming integrated product teams.

• Open Feedback Culture: Expect a culture where constructive feedback is regularly exchanged, fostering continuous improvement in design and product development.

• Knowledge Sharing: Encouragement of sharing learnings, best practices, and insights across disciplines, particularly concerning AI design and its application in healthcare.

• Proactive Communication: Emphasis on clear, proactive communication to manage ambiguity and ensure alignment across distributed or co-located teams.

📝 Enhancement Note: The company's values likely align with a mission-driven, innovative, and collaborative culture. For a Senior AI Product Designer, demonstrating an ability to integrate seamlessly into cross-functional teams and contribute to a culture of continuous learning and improvement will be key.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Uncertainty: The inherent unpredictability of AI models requires innovative design solutions to manage user expectations, build trust, and ensure reliable outcomes.

• Balancing User Needs with Technical Feasibility: Translating advanced ML capabilities into practical, user-friendly experiences within the constraints of clinical workflows and technical limitations.

• Educating Users on AI: Introducing AI features to potentially less tech-savvy healthcare professionals requires careful design to ensure understanding, adoption, and trust.

• Navigating Complex Healthcare Regulations: Understanding and designing within the highly regulated healthcare environment, ensuring compliance and patient safety.

• Rapidly Evolving AI Landscape: Staying abreast of the fast-paced advancements in AI technology and adapting design strategies accordingly.

Learning & Development Opportunities:

• Deep Dive into AI/ML Design: Gain specialized expertise in designing for sophisticated AI/ML systems, including generative AI, natural language processing, and predictive analytics within a healthcare context.

• Industry Conferences & Workshops: Opportunities to attend relevant industry events, conferences (e.g., HCI, AI, HealthTech), and workshops to stay current with trends and best practices.

• Mentorship & Leadership: Potential for mentorship from experienced leaders and opportunities to develop leadership skills by guiding design initiatives and potentially mentoring junior team members.

• Exposure to Venture Capital-Backed Growth: Experience the dynamics of a fast-growing startup backed by leading VCs, offering insights into scaling operations and product development.

• Cross-Disciplinary Learning: Continuous learning from ML engineers, data scientists, and medical professionals, broadening understanding of AI, data, and healthcare operations.

📝 Enhancement Note: The challenges presented are inherent to AI product design, especially in high-stakes fields like healthcare. A successful candidate will view these challenges as opportunities for innovation and growth, leveraging Avelios' supportive environment to develop advanced skills.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered feature. What were the key challenges related to model uncertainty or user trust, and how did you address them?" (Focus on process, specific design decisions, and outcomes.)

• "How would you approach designing a new AI feature for medical documentation that helps clinicians save time while ensuring accuracy and maintaining their control over the final output?" (Assess product thinking, user empathy, and understanding of clinical workflows.)

• "Imagine a situation where an AI model's performance degrades unexpectedly. How would your design interface communicate this to the user, and what fallback mechanisms would you consider?" (Test understanding of AI limitations and error handling.) Company & Culture Questions:

• "What excites you most about Avelios' mission to digitize healthcare operations?" (Gauge alignment with company vision.)

• "How do you envision contributing to our AI design principles and design system?" (Assess proactive contribution and strategic thinking.)

• "Describe your ideal collaboration style with Machine Learning Engineers and Product Managers." (Evaluate teamwork and cross-functional communication skills.) Portfolio Presentation Strategy:

• Structure your presentation: Start with the company/problem, your role and contributions, the design process, key AI-specific challenges and solutions, and finally, the impact/learnings.

• Focus on AI: Dedicate significant time to projects involving AI, explaining the nuances of designing for non-deterministic systems and how you ensured user trust and control.

• Visual Storytelling: Use high-fidelity mockups, prototypes, and user flow diagrams to illustrate your design thinking and execution.

• Quantify Impact: Whenever possible, present data or user feedback that demonstrates the success of your designs.

• Be Prepared for Deep Dives: Anticipate detailed questions about your design choices, user research findings, and technical considerations.

📝 Enhancement Note: Interview preparation should heavily emphasize demonstrating a deep understanding of AI product design principles, practical experience with non-deterministic systems, and the ability to translate complex technology into user-friendly healthcare solutions. Strong storytelling skills for portfolio presentations are crucial.

📌 Application Steps

To apply for this Senior AI Product Designer position:

• Submit your application through the provided link on Ashby.

• Tailor Your Resume: Highlight your experience in complex software design, specifically B2B/enterprise environments, and any direct experience with AI product design. Use keywords such as "AI Product Design," "UX Research," "Interaction Design," "Prototyping," "Design Systems," and "Human-in-the-loop."

• Curate Your Portfolio: Select 2-3 strong projects that best showcase your product thinking, visual craft, and, most importantly, your experience designing AI-powered products. Ensure clear articulation of your process, challenges, and outcomes, particularly those related to AI's non-deterministic nature and user trust.

• Prepare Your Narrative: Be ready to walk through your portfolio projects, explaining your design rationale, your specific contributions, and the impact of your work. Practice articulating how you collaborate with technical teams and handle ambiguity.

• Research Avelios: Understand their mission, product, and the challenges within healthcare operations. Consider how your skills and experience align with their specific needs and values.

⚠️ 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.