Senior Product Designer (d/f/m)

📍 Job Overview

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

Company: Aignostics

Location: Berlin, Berlin, Germany

Job Type: FULL_TIME

Category: Product Design / GTM Operations Support

Date Posted: 2026-05-12T09:34:07

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the creation and implementation of a comprehensive design language and design system from the ground up, ensuring consistency across Aignostics' AI-powered clinical and biopharma products.

• Drive end-to-end product design for AI product lines, from conceptualization and rapid prototyping through to polished user experiences, in close collaboration with engineering and product teams.

• Extend the established design language into brand and marketing materials, shaping the overall visual identity and communication of Aignostics.

• Leverage AI tools as an integral part of the design practice to enhance prototyping speed, scale design output, and optimize focus on high-value human judgment tasks.

📝 Enhancement Note: While this role is primarily Product Design, the output directly impacts GTM strategy by defining the user experience of a core AI product and shaping the company's brand perception. Therefore, understanding GTM operations and how design influences customer acquisition and retention is crucial. The emphasis on "expert-facing products" and "information-dense products" suggests a need for design that supports complex workflows, which often intersects with sales and customer success enablement.

📈 Primary Responsibilities

• Architect and build a cohesive design system that defines UI patterns, interaction guidelines, and visual styles for Aignostics' suite of AI-driven products.

• Conduct user research and usability testing to inform design decisions and ensure intuitive, efficient workflows for expert users in clinical and biopharma settings.

• Develop wireframes, mockups, interactive prototypes, and high-fidelity designs for new features and product enhancements, aligning with user needs and business objectives.

• Collaborate with Product Management to translate product requirements and strategic goals into effective and engaging user experiences.

• Partner with Engineering teams to ensure accurate implementation of designs, providing clear specifications and design support throughout the development lifecycle.

• Design visual assets for marketing collateral, website, and brand communications, ensuring a consistent and compelling brand narrative.

• Champion design best practices and proactively identify opportunities for design innovation and process improvement within the product development lifecycle.

• Contribute to the strategic definition of the product roadmap by providing design insights and advocating for user-centered solutions.

📝 Enhancement Note: The responsibility to "build our design language from the ground up" and "set the bar for how our products look, feel, and communicate" indicates a strategic leadership component within design, requiring foresight and a deep understanding of brand positioning and user experience impact on commercial success.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction, Graphic Design, or a related field, or equivalent practical experience.

Experience: 5-10 years of professional experience in Product Design, with a proven track record of designing complex, expert-facing products.

Required Skills:

• Product Design Expertise: Deep understanding of the end-to-end product design process, from discovery and ideation to detailed design and implementation.

• Design System Development: Proven experience in creating, documenting, and maintaining robust design systems for scalable product suites.

• UI & Interaction Design: Mastery of UI design principles, layout, typography, and interaction design patterns to create intuitive and efficient user interfaces.

• Prototyping Skills: Proficiency in using prototyping tools (e.g., Figma, Sketch, Adobe XD) to create interactive prototypes for user testing and stakeholder communication.

• Visual Design & Brand Identity: Strong aesthetic sensibility and experience in developing visual identities and applying them consistently across digital products and marketing materials.

• AI Tool Integration: Demonstrated ability to effectively integrate AI tools into the design workflow for prototyping, ideation, and output scaling.

• Complex Product Design: Experience designing for demanding, information-dense products such as enterprise software, scientific/clinical workflows, or developer tools.

Preferred Skills:

• Life Sciences/Biopharma Experience: Prior experience designing products within the life sciences, biopharma, or clinical diagnostics industries.

• User Research & Testing: Experience conducting user research, usability testing, and synthesizing feedback to drive design improvements.

• Cross-functional Collaboration: Excellent communication and collaboration skills, with experience working effectively with product managers, engineers, and marketing teams.

• Agile/Scrum Methodologies: Familiarity with Agile development methodologies and experience working within cross-functional, agile teams.

📝 Enhancement Note: The requirement for "AI-native in how you work" suggests a forward-thinking approach to design tools and processes, which is increasingly important in GTM operations for efficiency and innovation. The emphasis on "complex, expert-facing products" implies a need for designers who can translate intricate technical requirements and user needs into clear, actionable designs that support sales enablement and customer success.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 comprehensive case studies demonstrating end-to-end product design ownership for complex, expert-facing products.

• Highlight projects where you built or significantly contributed to a design system, detailing its components, structure, and impact on product consistency.

• Include examples of how you utilized AI tools within your design process, illustrating their impact on efficiency, prototyping speed, or output quality.

• Present visual examples of brand identity development and its application across digital products and marketing materials.

Process Documentation:

• Clearly articulate your design process within case studies, from initial problem definition and user research to ideation, prototyping, user testing, and final implementation.

• Detail how you approached building or evolving a design system, including governance, component libraries, and documentation strategies.

• Explain your methodology for integrating AI tools into your workflow and the tangible benefits achieved.

• Document your approach to user research and how insights were translated into design solutions.

📝 Enhancement Note: A strong portfolio is critical for this role, as it directly demonstrates the candidate's ability to deliver on the core responsibilities. For operations professionals evaluating this role, understanding how design impacts user adoption and efficiency is key. The portfolio should explicitly show how design decisions support user workflows and contribute to the overall effectiveness of the product, which is a crucial element for GTM success.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Senior Product Designer in Berlin with 5-10 years of experience, the estimated salary range is €70,000 - €95,000 annually. This estimate considers the company's funding, interdisciplinary team, and the specific demands of designing for AI-driven clinical and biopharma products.

Benefits:

• Competitive remuneration package.

• 30 days of paid vacation annually.

• Flexible working hours to accommodate work-life balance.

• Remote work options, contributing to a hybrid work environment.

• €1,000 annual budget for Learning & Development (L&D), plus 2 dedicated L&D days per year.

• Opportunities for language classes and participation in a mentoring program.

• Family and pet-friendly workplace policies with flexible parental leave.

• Subsidized memberships for transport, sports, and wellbeing activities.

• Regular social events to foster team cohesion.

• Optional pension scheme contribution.

Working Hours: 40 hours per week, with flexibility offered in terms of start and end times to support a hybrid and work-life balanced environment.

📝 Enhancement Note: The salary range is an estimate based on typical compensation for Senior Product Designers in Berlin with the specified experience level and the nature of the company (well-funded tech startup in a specialized field). The provided benefits are comprehensive and align with modern tech company offerings, emphasizing work-life balance and professional development, which are attractive to operations professionals seeking supportive environments.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Life Sciences, Biopharma, Healthcare Technology. Aignostics operates at the intersection of cutting-edge AI and critical healthcare applications, aiming to revolutionize disease diagnosis and treatment through rigorous, transparent model development.

Company Size: Over 120 employees. This size indicates a growing, dynamic organization that is past the early startup phase but still retains agility and a strong sense of mission. For operations professionals, this means established processes are likely in place, but there's still room for influence and optimization.

Founded: Aignostics is a spin-off from Charité, one of Europe's largest university hospitals. This strong academic and clinical foundation lends credibility and deep domain expertise to the company's AI development.

Team Structure:

• The design team currently consists of this Senior Product Designer role, implying a significant opportunity for an individual to shape its direction.

• Collaboration is expected to be tight with Engineering, Product Management, and Marketing teams, reflecting a cross-functional GTM approach.

Methodology:

• Data-Driven Product Development: A core tenet, driven by the need for scientifically rigorous and transparent AI model development.

• User-Centric Design: Emphasized through the need to create intuitive experiences for expert users in demanding fields.

• Agile Development: Implied by the collaborative, fast-paced environment of a growing tech company.

• AI Integration: A fundamental part of the company's mission and product offering, extending to its internal toolset.

Company Website: https://aignostics.com/

📝 Enhancement Note: The company's origins in a prestigious university hospital provide a strong basis for scientific rigor and trust, which are critical in the life sciences sector. The "design full-stack" nature of this role means the designer will be instrumental in how Aignostics presents itself technologically and commercially. For operations, understanding this blend of scientific depth and tech innovation is key to aligning GTM efforts.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor. This role is positioned as a senior-level individual contributor, responsible for strategic design initiatives and execution. It offers significant autonomy and the opportunity to be the primary design voice within the company.

Reporting Structure: While not explicitly stated, a Senior Product Designer typically reports to a Head of Product, VP of Product, or potentially a CTO in a smaller organization. The direct impact on company goals suggests a close working relationship with leadership.

Operations Impact: The Senior Product Designer's work directly influences the usability and adoption of Aignostics' core AI products, which are central to its revenue generation. By shaping the brand and product experience, this role significantly impacts customer perception, sales enablement, and market competitiveness.

Growth Opportunities:

• Design Leadership: Potential to build and lead a design team as the company scales, establishing design processes and hiring future designers.

• Product Strategy Influence: Deep involvement in product strategy and roadmap discussions, shaping the future direction of AI products in healthcare.

• Domain Expertise Development: Opportunity to gain deep knowledge in AI, life sciences, and biopharma, becoming an expert in a high-growth, impactful field.

• Skill Specialization: Focus on advanced areas like AI-driven UX, complex data visualization, or enterprise design systems.

📝 Enhancement Note: This role offers a unique opportunity for a designer to establish a design function from scratch within a scientifically grounded, well-funded AI company. The growth path is less about climbing a traditional corporate ladder and more about deepening expertise, expanding influence, and potentially building a design team, which is attractive for long-term career development in specialized tech fields.

🌐 Work Environment

Office Type: Hybrid. Aignostics offers flexibility with remote work options, suggesting a modern approach to work arrangements that balances in-office collaboration with individual autonomy.

Office Location(s): Berlin, Germany (Alt-Moabit 73, 10555 Berlin). This location places Aignostics within a vibrant tech and biotech hub in Europe.

Workspace Context:

• Collaborative Hub: The office environment is designed to facilitate collaboration between interdisciplinary teams, fostering innovation and knowledge sharing.

• Tooling: Access to modern design and AI tools is expected, supporting efficient workflows and creative output.

• Interaction: Opportunities for direct interaction with product managers, engineers, and marketing colleagues, enabling a holistic understanding of product development and GTM strategies.

Work Schedule: Flexible hours are offered, allowing team members to structure their workdays to optimize productivity and personal commitments, a key aspect for roles requiring deep focus and creative problem-solving.

📝 Enhancement Note: The hybrid model and flexible hours are designed to attract and retain talent by offering a balance between structured collaboration and personal flexibility. For operations roles, understanding this environment is key to appreciating how work gets done, how teams interact, and how productivity is maintained across distributed and in-office settings.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your CV and portfolio to assess basic qualifications and design experience.

• Portfolio Presentation & Discussion: A session where you present your selected case studies, discussing your design process, decision-making, and impact. Expect to elaborate on your experience with complex products and design systems.

• Skills-Based Interview: Technical questions focusing on UI/UX principles, interaction design, design systems, and your experience with AI tools.

• Cross-functional Collaboration Interview: Discussion with product managers and/or engineers to assess your ability to collaborate effectively and communicate design rationale.

• Cultural Fit Interview: Conversations to understand your work style, values, and how you align with Aignostics' mission and culture.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your most relevant case studies that directly address the requirements: complex, expert-facing products, design system building, and AI tool integration.

• Tell a Story: For each case study, clearly articulate the problem, your role, the process you followed, the solutions you designed, and the measurable impact or outcomes.

• Highlight AI Integration: Explicitly show how you used AI tools in your workflow and the benefits derived. This is a key differentiator for this role.

• Demonstrate System Thinking: Clearly present your design system work, including its components, rationale, and how it ensured consistency.

• Be Prepared to Discuss: Anticipate questions about your design choices, trade-offs, and how you handle feedback and challenges.

Challenge Preparation:

• Design Exercise: You may be given a small design challenge or asked to critique an existing product, focusing on your problem-solving approach and ability to apply design principles.

• Process Explanation: Be ready to articulate your design process concisely and explain how you would approach building a design system for Aignostics.

• Company Research: Understand Aignostics' mission, products, and target users to tailor your responses and demonstrate genuine interest.

📝 Enhancement Note: The portfolio is paramount for this role. Candidates should focus on showcasing their ability to handle complexity and build foundational design assets. For operations roles, understanding the interview process helps in framing how design impacts the broader GTM strategy and customer experience.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable as industry standard), Sketch, Adobe XD. Proficiency in at least one is essential.

• Design System Management: Tools like Storybook, Zeroheight, or internal documentation platforms will likely be used or need to be established.

• AI Design Tools: This could include AI-powered image generators, AI assistants for UI generation, AI for prototyping, or AI for user research analysis. Candidates should be ready to discuss their experience with tools like Midjourney, DALL-E, or AI features within existing design software.

Analytics & Reporting:

• Product Analytics: Tools like Amplitude, Mixpanel, or Google Analytics to understand user behavior within the product.

• User Feedback Platforms: Tools for collecting and analyzing user feedback, essential for iterative design.

CRM & Automation:

• While not directly a designer's primary tool, understanding how product design integrates with CRM (e.g., Salesforce, HubSpot) for user data and marketing automation for GTM campaigns is beneficial.

• Project Management: Tools like Jira, Asana, or Trello for workflow tracking and collaboration with engineering and product teams.

📝 Enhancement Note: Proficiency in modern design tools, especially Figma, is expected. The emphasis on "AI-native in how you work" means familiarity with emerging AI design tools is a significant advantage. For operations professionals, understanding the tech stack helps in appreciating how design is integrated into the broader product development and GTM ecosystem.

👥 Team Culture & Values

Operations Values:

• Scientific Rigor & Transparency: A foundational value stemming from its academic roots, valuing data-driven decision-making and clear, honest communication.

• Innovation & Ambition: A drive to revolutionize healthcare through AI, encouraging bold ideas and a proactive approach to problem-solving.

• Collaboration & Inclusivity: A commitment to diverse perspectives and cross-functional teamwork to achieve complex goals.

• User-Centricity: A dedication to understanding and serving the needs of expert users in demanding fields, ensuring products are both powerful and intuitive.

• Efficiency & Impact: A focus on developing solutions that deliver tangible improvements in diagnosis and treatment, driving meaningful outcomes.

Collaboration Style:

• Cross-functional Integration: Close working relationships between design, product, engineering, and marketing are essential for delivering cohesive products and a strong brand presence.

• Open Communication: Encouraging direct feedback and open dialogue to foster continuous improvement in design and product development.

• Knowledge Sharing: A culture that values sharing expertise and learning from one another, particularly across different disciplines.

📝 Enhancement Note: The company's values are deeply tied to its mission in healthcare and AI. For operations professionals, understanding these values helps in appreciating how decisions are made and how the team operates, ensuring alignment with GTM strategies that require trust and scientific credibility.

⚡ Challenges & Growth Opportunities

Challenges:

• Establishing Design Foundation: Building a comprehensive design system and language from scratch requires significant strategic thinking and meticulous execution.

• Designing for Expert Users: Translating complex scientific and clinical workflows into intuitive and efficient user experiences for highly specialized users.

• Balancing Product and Brand Design: Ensuring consistency and a cohesive identity across both internal AI products and external marketing communications.

• Rapidly Evolving AI Landscape: Keeping pace with advancements in AI tools and methodologies to maintain a cutting-edge design practice.

Learning & Development Opportunities:

• Advanced Design System Practices: Opportunity to deepen expertise in scalable design system architecture and governance.

• AI in Design Specialization: Becoming a leader in leveraging AI tools for enhanced design creativity and productivity.

• Domain Expertise: Gaining in-depth knowledge of AI applications in life sciences and biopharma, a highly sought-after specialization.

• Leadership Potential: The chance to define and potentially build out Aignostics' design function as the company grows.

📝 Enhancement Note: The challenges presented are significant but offer substantial rewards in terms of skill development and career advancement. For operations, recognizing these challenges helps in understanding the strategic importance of the design function and its potential impact on GTM success.

💡 Interview Preparation

Strategy Questions:

• "How would you approach building a design system from scratch for a company like Aignostics, and what would be your initial priorities?" (Prepare to discuss phased rollout, core components, and governance).

• "Describe a complex, expert-facing product you've designed. What were the key challenges, and how did your design solutions address them?" (Focus on information density, workflow efficiency, and user needs).

Company & Culture Questions:

• "Why are you interested in Aignostics and our mission to revolutionize disease diagnosis with AI?" (Research Aignostics' products, recent funding, and leadership).

• "How do you ensure design consistency across both product interfaces and brand marketing materials?" (Discuss brand guidelines, design system extension, and collaboration with marketing).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, the process, your key contributions, the solutions, and the impact/outcomes.

• Quantify Impact: Where possible, use data (e.g., conversion rates, user satisfaction scores, efficiency gains) to demonstrate the success of your designs.

• Highlight System Thinking: Clearly showcase your design system work and explain its benefits for consistency and scalability.

• Showcase AI Integration: Dedicate a portion of your presentation to how you used AI tools and the tangible results.

• Be Concise and Engaging: Practice your presentation to ensure it flows well and stays within the allotted time.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, a deep understanding of design systems, and practical experience with AI tools. For operations candidates, understanding how design translates into user adoption and brand perception is key to aligning with GTM goals.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the Aignostics teamtailor portal, ensuring your CV and portfolio are up-to-date.

• Portfolio Customization: Select 2-3 strong case studies that highlight your experience with complex, expert-facing products, design system building, and AI tool integration. Tailor your portfolio's introduction to Aignostics' specific mission and product context.

• Resume Optimization: Ensure your resume clearly outlines your experience in product design, UI/UX, interaction design, and design systems, using keywords relevant to the job description and Aignostics' industry (AI, life sciences, biopharma). Quantify achievements where possible.

• Interview Preparation: Practice articulating your design process, decision-making rationale, and the impact of your work. Prepare to discuss your experience with AI tools and how you would approach building Aignostics' design language.

• Company Research: Thoroughly research Aignostics' mission, product offerings, and recent news. Understand their position in the market and their commitment to scientific rigor and transparency.

⚠️ 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.

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