Senior Product Designer
π Job Overview
Job Title: Senior Product Designer Company: Owkin Location: Paris, Nantes, London, Germany (Remote in France, UK, Germany) Job Type: Full-time Category: Product Design / UX/UI Date Posted: October 14, 2025 Experience Level: 5-10 Years Remote Status: Remote OK
π Role Summary
- Lead the design of natural language interfaces and AI-powered user experiences tailored for biomedical researchers, clinicians, and partners within a cutting-edge AI company.
- Drive the end-to-end design process for sophisticated B2B software products, with a strategic emphasis on conversational AI, intuitive scientific visualization, and seamless integration into drug discovery workflows.
- Champion a data-driven design methodology, leveraging user research, analytics, and continuous feedback loops to inform product strategy and measure design impact on user and business outcomes.
- Collaborate closely with cross-functional teams, including product managers, engineers, and domain experts, to translate complex scientific requirements into pragmatic, user-centric, and high-quality design solutions.
- Contribute to the evolution and maintenance of a scalable design system, ensuring consistency, accessibility, and inclusivity across all product touchpoints.
π Enhancement Note: This role is situated within a specialized AI company focused on biological discovery, indicating a need for designers who can bridge complex scientific concepts with user-friendly interfaces. The emphasis on "agentic AI" and "Biological Artificial Superintelligence" suggests a forward-thinking environment where design plays a critical role in enabling advanced AI capabilities for scientific users.
π Primary Responsibilities
- Design core user experiences for AI-powered B2B products, with a strategic focus on natural language interfaces and advanced scientific visualization techniques.
- Conduct, synthesize, and effectively communicate user research findings to shape product direction, validate design concepts, and influence product strategy.
- Develop a range of design artifacts, including wireframes, interactive prototypes, and high-fidelity visuals, to explore, communicate, and iterate on design solutions.
- Facilitate and analyze usability testing sessions, translating qualitative and quantitative user insights into actionable design improvements and iterative enhancements.
- Foster strong cross-functional collaboration with product management, engineering, and domain experts to deliver pragmatic solutions that align with user needs and business objectives.
- Contribute to the development, maintenance, and adoption of the company's design system to ensure consistent, inclusive, and accessible user experiences across the product suite.
- Help define, refine, and champion design processes that prioritize clarity, user-centricity, and uphold high standards of design craft and execution.
π Enhancement Note: The responsibilities highlight a blend of strategic design leadership and hands-on execution. The focus on "AI-powered B2B products," "natural language interfaces," and "scientific visualization" implies a need for a designer comfortable with complex data and advanced technological concepts, aiming to make them accessible to a specialized user base.
π Skills & Qualifications
Education: While no specific degree is mandated, a background in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is often beneficial for understanding the technical underpinnings of AI products.
Experience: A minimum of 5 years of dedicated product design experience is required, with a strong emphasis on designing and shipping B2B software products.
Required Skills:
- 5+ years of proven product design experience, with a demonstrated history of designing successful B2B software products.
- Mastery of AI-powered UX principles, including expertise in conversational design (NLP, LLMs), advanced data visualizations, and robust system thinking.
- A strong and comprehensive portfolio showcasing a clear design process, effective problem-solving methodologies, and measurable impact on user and business outcomes.
- A data-driven mindset, with practical experience utilizing analytics and qualitative discovery methods to inform design decisions and quantify design impact.
- Exceptional communication and presentation skills, with the ability to articulate design rationale and decisions clearly to diverse stakeholder groups, including technical and non-technical audiences.
- Proven experience in building and scaling design systems, alongside proficiency with modern design and prototyping tools.
- Fluent English communication skills, both written and verbal, are essential for collaboration within the international team.
Preferred Skills:
- Prior experience designing products within the biomedical research, healthcare, or pharmaceutical industries.
- French language proficiency, which would be a valuable asset for local collaboration.
π Enhancement Note: The requirement for "Mastery of AI-powered UX" and specific mention of NLP/LLMs indicates a need for a designer with a deep understanding of current AI trends and their application in user interfaces, particularly for scientific and research-oriented users. The portfolio requirement is critical, emphasizing demonstrable impact.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
- Showcase a minimum of 3-4 comprehensive case studies detailing your end-to-end product design process from problem identification to solution implementation and impact measurement.
- For each case study, clearly articulate the user problem, the business context, your specific role and contributions, design iterations, and the measurable outcomes achieved (e.g., user engagement, task completion rates, efficiency gains, adoption metrics).
- Demonstrate proficiency in designing for complex data, AI-driven features, and natural language interfaces, highlighting your problem-solving approach in these areas.
- Include examples of how you have utilized user research, data analytics, and A/B testing to inform design decisions and validate hypotheses.
- Present work that reflects a strong understanding of design systems, accessibility standards, and responsive design principles.
Process Documentation:
- Your portfolio should implicitly or explicitly demonstrate your ability to document and articulate design processes. This includes outlining user research methodologies, ideation techniques, prototyping workflows, and usability testing frameworks.
- Evidence of contributions to or creation of design system components, style guides, or pattern libraries is highly valued.
- Examples of how you have collaborated with engineering teams to ensure accurate implementation of designs and maintained design integrity throughout the development lifecycle.
π Enhancement Note: Given the emphasis on complex AI and B2B products, a portfolio that clearly demonstrates a structured, user-centered design process and quantifiable impact is paramount. Case studies should highlight how the designer navigated ambiguity and complex technical constraints to deliver effective user experiences.
π΅ Compensation & Benefits
Salary Range: Based on Owkin's presence in high-cost-of-living areas (Paris, London) and the seniority of the role (Senior Product Designer with 5+ years of experience in AI/B2B), a competitive salary range can be estimated.
- Paris, France: β¬60,000 - β¬90,000 annually
- London, UK: Β£60,000 - Β£90,000 annually
- Germany: β¬60,000 - β¬90,000 annually This estimate considers industry benchmarks for senior design roles in leading tech companies within these regions, factoring in the specialized nature of AI and biomedical technology.
Benefits:
- Flexible work organization, allowing for a healthy work-life balance.
- A friendly and informal working environment, fostering open communication and collaboration.
- Opportunity to work with a diverse, international team comprised of individuals with high technical and scientific backgrounds.
- Comprehensive health insurance and wellness programs (specifics to be confirmed during the offer stage).
- Professional development opportunities, including access to training, conferences, and learning resources.
- Potential for stock options or performance-based bonuses, reflecting the company's growth trajectory.
Working Hours: Standard full-time working hours are expected, likely around 40 hours per week. The company emphasizes "Flexible work organization," suggesting potential for flexible start/end times and a focus on output rather than strict adherence to hours, aligning with remote work flexibility.
π Enhancement Note: Salary ranges are estimated based on industry data for Senior Product Designers in Paris, London, and Germany, considering the company's focus on AI and biotech. Comprehensive benefits packages are standard for companies of Owkin's caliber and funding.
π― Team & Company Context
π’ Company Culture
Industry: Owkin operates at the intersection of Artificial Intelligence, Biotechnology, and Healthcare. This unique positioning allows them to leverage advanced AI for accelerating drug discovery and diagnostics, creating a dynamic and impactful work environment. Company Size: Owkin is a growing company, having raised significant funding, indicating a stage of rapid expansion. This often means a culture that balances established processes with the agility and innovation of a scale-up. Founded: Founded in 2016, Owkin has established itself within the competitive AI and biotech landscape, demonstrating a track record of innovation and strategic partnerships.
Team Structure:
- The "K Products team" suggests a focus on Owkin's core AI technology and product suite.
- The Senior Product Designer will likely be part of a Product or Design team, working closely with Product Managers and Engineering Leads.
- Collaboration is expected to be highly cross-functional, involving domain experts in biology and medicine, AI/ML engineers, data scientists, and other product specialists.
Methodology:
- Owkin's mission revolves around "agentic AI" and understanding "complex biology," implying a strong emphasis on data-driven decision-making, advanced analytics, and rigorous scientific validation.
- Design processes are expected to be user-centric, informed by scientific research and user feedback, aiming to translate complex AI capabilities into accessible tools for researchers.
- Agile development methodologies are likely employed, requiring designers to be adaptable and responsive to evolving requirements and technological advancements.
Company Website: https://www.owkin.com/
π Enhancement Note: Owkin's focus on AI in biotech implies a culture that values scientific rigor, innovation, and collaboration. The "agentic AI" aspect suggests a forward-looking approach where design plays a key role in enabling future AI capabilities.
π Career & Growth Analysis
Operations Career Level: This role is a Senior Product Designer, positioned as an individual contributor with significant leadership responsibilities in design strategy and execution. It requires a strong ability to operate autonomously and influence product direction.
Reporting Structure: The Senior Product Designer will likely report to a Head of Design, Design Lead, or Director of Product, depending on the team's organizational structure. They will work closely with Product Managers and Engineering Leads on specific product initiatives.
Operations Impact: The Senior Product Designer will have a direct impact on the usability and adoption of Owkin's AI products by biomedical researchers. By designing intuitive natural language interfaces and effective data visualizations, they will significantly contribute to accelerating drug discovery workflows, thereby impacting the company's core mission and commercial success.
Growth Opportunities:
- Design Leadership: Opportunity to mentor junior designers, lead design initiatives for key product areas, and contribute to the strategic vision of the design team.
- Specialization: Deepen expertise in AI-driven UX, conversational design, scientific visualization, and the specific domain of biomedical research.
- Product Strategy: Influence product roadmaps and strategy through user insights and innovative design solutions.
- Cross-functional Advancement: Develop strong relationships and understanding across product, engineering, and scientific domains, potentially leading to broader product management or strategy roles.
π Enhancement Note: As a Senior role, growth is expected in terms of leadership, strategic influence, and deepening domain expertise within AI and biotech. The impact is tied directly to enabling scientific discovery.
π Work Environment
Office Type: Owkin offers a hybrid work model, with options for working from their offices in Paris, Nantes, or London, or remotely within France, the UK, or Germany. This suggests a modern, flexible work environment.
Office Location(s):
- Paris, France: A major European hub for technology and innovation.
- Nantes, France: A growing tech city with a strong talent pool.
- London, UK: A global center for technology, finance, and life sciences. The remote flexibility across these regions allows candidates to choose a location that best suits their needs while remaining connected to the company's core operational centers.
Workspace Context:
- The environment is described as "friendly and informal," promoting open communication and collaboration.
- Working with an international team with high technical and scientific backgrounds fosters a stimulating intellectual environment.
- Access to modern design tools and technology is implied, necessary for the sophisticated nature of the work.
- Opportunities for cross-pollination of ideas between design, product, engineering, and scientific teams are present, especially in a hybrid/remote setup that relies on effective digital collaboration tools.
Work Schedule: While standard full-time hours apply, the emphasis on "Flexible work organization" indicates an adaptable schedule, allowing for autonomy in managing work hours to accommodate personal needs and optimize productivity, especially crucial for remote employees.
π Enhancement Note: The hybrid and remote-friendly nature of the role, combined with the international team and flexible work organization, points to a modern, adaptable work environment suited for experienced professionals.
π Application & Portfolio Review Process
Interview Process:
- Application Submission: Submit CV and portfolio via the provided link. Ensure your CV is in English.
- Initial Screening: Review of application materials by the Talent team to assess qualifications and fit.
- Hiring Manager/Team Interview: Discussion focused on your experience, design philosophy, and approach to AI-powered UX and B2B products. This stage will likely involve a portfolio walkthrough.
- Design Challenge/Case Study: You may be asked to complete a design exercise or present a detailed case study from your portfolio, focusing on problem-solving, design process, and impact.
- Cross-functional Interviews: Interviews with Product Managers, Engineers, or Domain Experts to assess collaboration skills and understanding of the biomedical domain.
- Final Interview: Typically with senior leadership to discuss strategic alignment and cultural fit.
Portfolio Review Tips:
- Curate Strategically: Select 3-4 of your strongest B2B and AI-focused projects. Prioritize those that clearly demonstrate your end-to-end design process, problem-solving skills, and measurable impact.
- Tell a Story: For each case study, structure it as a narrative: the problem, your approach, your solutions, and the outcomes. Clearly define your role, especially if working in a team.
- Highlight AI & NLP: Explicitly showcase projects involving natural language interfaces, conversational design, or complex data visualization. Detail how you approached these challenges.
- Quantify Impact: Wherever possible, include metrics, data, or user feedback that demonstrates the positive impact of your designs on users and business goals.
- Showcase Process: Detail your research methods, ideation techniques, prototyping tools, and how you collaborated with stakeholders.
- Design System Work: If you have experience with design systems, include examples of your contributions or how you've leveraged them.
Challenge Preparation:
- Understand Owkin's Mission: Research Owkin's work in AI for drug discovery. Consider the unique needs of biomedical researchers and clinicians.
- Anticipate AI/NLP Scenarios: Be prepared to discuss how you would approach designing interfaces for AI models, handling uncertainty in AI outputs, and visualizing complex biological data.
- Practice Presenting: Rehearse presenting your portfolio case studies concisely and engagingly. Practice explaining your design decisions and their rationale.
- Prepare Questions: Develop insightful questions about the team, the product roadmap, design challenges, and the companyβs approach to AI and user research.
π Enhancement Note: The interview process will heavily weigh your portfolio and your ability to articulate your design process and impact. Given the specialized nature of Owkin, demonstrating an understanding of AI and its application in scientific research will be crucial.
π Tools & Technology Stack
Primary Tools:
- Design & Prototyping: Proficiency with industry-standard design and prototyping tools is essential. Expect tools like Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), and potentially specialized prototyping tools such as InVision, Principle, or Axure.
- User Research & Testing: Experience with tools for conducting user interviews, surveys, and usability testing (e.g., UserTesting.com, Maze, Lookback, SurveyMonkey).
- Collaboration & Project Management: Familiarity with tools like Jira, Confluence, Asana, Trello, Slack, and Miro for cross-functional collaboration and workflow management.
Analytics & Reporting:
- Experience with product analytics platforms (e.g., Amplitude, Mixpanel, Google Analytics) to inform design decisions and measure outcomes.
- Familiarity with data visualization tools or libraries that might be integrated into the product, or the ability to conceptualize effective data visualizations.
CRM & Automation: While not directly a designer's primary tool, understanding how products integrate with CRM systems (like Salesforce) or other business automation tools can be beneficial for context in B2B product design.
π Enhancement Note: The companyβs focus on AI and B2B software implies a need for a designer proficient in modern digital design workflows, collaboration tools, and data analysis to inform design. Figma is a prevalent tool in such environments.
π₯ Team Culture & Values
Operations Values:
- Innovation & Impact: A core value is driving innovation in AI for biological discovery, aiming for significant patient impact. This means a focus on ambitious projects and measurable results.
- Scientific Rigor: Given the industry, a commitment to data accuracy, validation, and a deep understanding of scientific principles is paramount. Design decisions should be grounded in evidence.
- Collaboration: Working in a cross-functional, international environment requires strong teamwork, open communication, and a willingness to share knowledge and perspectives.
- User-Centricity: Despite the complex technology, the ultimate goal is to serve researchers and clinicians, so a deep empathy for user needs and workflows is critical.
- Adaptability & Learning: The AI and biotech fields are rapidly evolving, necessitating a culture of continuous learning, embracing new technologies, and adapting to change.
Collaboration Style:
- Cross-functional Integration: Designers are expected to be embedded within product teams, working closely with PMs, engineers, and data scientists from inception to launch.
- Iterative Feedback Loops: A culture that encourages frequent feedback, design critiques, and iterative refinement based on user testing and stakeholder input.
- Knowledge Sharing: Encouragement of sharing best practices, design patterns, and insights across the design and product teams to foster collective growth and consistency.
π Enhancement Note: The culture likely emphasizes intellectual curiosity, a drive for scientific advancement, and collaborative problem-solving, with a strong focus on user needs within the complex domain of AI-driven biomedical research.
β‘ Challenges & Growth Opportunities
Challenges:
- Translating Complex Science: The primary challenge is designing intuitive interfaces for highly complex AI models and biological data that are understandable and actionable for researchers.
- Balancing User Needs and Technical Constraints: Navigating the trade-offs between ideal user experiences and the practical limitations of AI development and data availability.
- Designing in a Rapidly Evolving Field: Keeping pace with advancements in AI, NLP, and biotechnology to ensure products remain cutting-edge and relevant.
- Remote Collaboration: Effectively collaborating and maintaining strong design cohesion within a distributed, international team.
Learning & Development Opportunities:
- AI & Domain Expertise: Deepen understanding of AI/ML concepts, NLP, and the specifics of biomedical research through collaboration and internal resources.
- Advanced UX for AI: Gain hands-on experience with cutting-edge AI UX patterns, conversational interfaces, and complex data visualization techniques.
- Design System Leadership: Contribute significantly to the growth and governance of a scalable design system, potentially leading its evolution.
- Industry Exposure: Work on products that directly contribute to accelerating drug discovery, offering a unique perspective on the impact of technology in healthcare.
π Enhancement Note: The role presents significant challenges related to the complexity of the domain and technology, but these also translate into substantial opportunities for professional growth and skill development in a high-impact industry.
π‘ Interview Preparation
Strategy Questions:
- "Describe a time you designed an AI-powered feature or a product involving complex data. What was the problem, your approach, and the outcome?" (Focus on your process, problem-solving, and quantifiable results.)
- "How do you approach designing natural language interfaces, especially for specialized domains like scientific research? What are the key considerations?" (Highlight your understanding of NLP UX, conversational design principles, and user context.)
- "Walk us through a challenging design decision you had to make, involving trade-offs between user needs, technical feasibility, and business goals. How did you navigate it?" (Demonstrate your decision-making process, negotiation skills, and ability to find pragmatic solutions.)
Company & Culture Questions:
- "What interests you about Owkin's mission and its application of AI in drug discovery?" (Show you've researched the company and are genuinely motivated by its impact.)
- "How do you approach collaborating with cross-functional teams (product, engineering, science) in a remote or hybrid setting?" (Emphasize your communication, empathy, and teamwork skills.)
- "How do you ensure your designs are inclusive and accessible, especially for users with diverse technical backgrounds?" (Showcase your commitment to user-centered design principles.)
Portfolio Presentation Strategy:
- Structure is Key: Organize your presentation logically, ideally following the STAR method (Situation, Task, Action, Result) for each case study.
- Focus on "Why" and "How": Clearly articulate the problem you were solving, why you made specific design choices, and how your process led to the outcome.
- Demonstrate Impact: Emphasize the measurable results of your work. Use data, metrics, or user feedback to support your claims.
- Highlight AI/NLP Experience: Explicitly point out elements of your portfolio that showcase your experience with AI-driven features, natural language interfaces, or complex data visualization.
- Be Concise and Engaging: Practice your presentation to ensure it flows well and stays within any time limits. Be prepared to answer detailed questions about your work.
π Enhancement Note: Expect interview questions to probe your understanding of AI UX, your ability to handle complex data and scientific concepts, and your collaborative approach in a remote, cross-functional environment. Your portfolio is your primary tool for demonstrating these capabilities.
π Application Steps
To apply for this Senior Product Designer position:
- Submit your application through the Owkin careers portal (link provided in the job posting).
- Curate Your Portfolio: Select 3-4 of your most relevant B2B and AI/data-focused projects. Ensure each case study clearly outlines the problem, your role, your process, your solutions, and the measurable impact. Tailor your portfolio to highlight your experience with natural language interfaces and scientific visualization if applicable.
- Optimize Your Resume: Highlight your 5+ years of product design experience, specifically mentioning B2B software, AI-powered UX, conversational design, data visualization, user research, and design systems. Use keywords from the job description.
- Prepare Your Presentation: Practice walking through your portfolio case studies, focusing on your problem-solving approach, design process, and the quantifiable outcomes of your work. Be ready to discuss your experience with AI and complex data.
- Research Owkin: Understand Owkin's mission, products, and the biomedical research landscape. Prepare thoughtful questions about the role, the team, and the challenges of designing for their specific user base.
β οΈ 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.
Application Requirements
Candidates should have over 5 years of product design experience, particularly in B2B software products. A strong portfolio demonstrating design impact and a data-driven mindset is essential.