Senior Product Designer
π Job Overview
Job Title: Senior Product Designer
Company: Pandektes
Location: Copenhagen, Capital Region of Denmark, Denmark
Job Type: FULL_TIME
Category: Product Design / GTM Operations
Date Posted: 2026-05-18
Experience Level: 5-10 years
Remote Status: On-site
π Role Summary
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Drive end-to-end product design for an AI-powered legal database, focusing on deep-information UIs, AI flows, and editorial content.
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Innovate with AI tools for prototyping and development, integrating them directly into the design and production lifecycle.
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Implement designs and develop production-ready React components, collapsing traditional design-to-development handoffs.
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Own and evolve a comprehensive design system to ensure consistency and scalability across the platform.
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Collaborate directly with legal professionals to understand user needs and shape AI-driven search and chat functionalities.
π Enhancement Note: This role is positioned as a Senior Product Designer but the responsibilities heavily lean into GTM Operations and Product Operations by requiring direct implementation of code, ownership of a design system that impacts product delivery, and a strong focus on user data and workflow optimization. The emphasis on "collapsing handoffs" and "shipping production-ready React components" suggests a hybrid role that bridges design and front-end development, with a strong operational component in ensuring design system efficiency and scalability.
π Primary Responsibilities
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Conceptualize, design, and execute product features from initial ideation through to final micro-interactions, ensuring seamless user experiences for complex legal information retrieval.
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Leverage AI prototyping tools such as Claude Code, v0, and Cursor to rapidly iterate on designs and explore novel interaction patterns for AI-driven features.
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Write and implement production-quality frontend code, specifically focusing on React components, to directly translate designs into functional product elements.
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Develop, maintain, and evolve a robust design system, ensuring it supports deep-information UIs, sophisticated AI workflows, and content-rich interfaces.
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Design and refine AI search and chat functionalities, aiming to surface precise legal precedents and build user trust in AI-generated results.
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Conduct regular user research with legal professionals, observe their workflows, and analyze product data to identify unmet needs and areas for improvement.
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Exercise ruthless prioritization to define product scope, making data-backed decisions on what to build and what not to build, and effectively communicate these decisions.
π Enhancement Note: The responsibilities highlight a hands-on approach that extends beyond traditional design. The expectation to "implement your own designs in code" and "ship production-ready React components" indicates a significant operational aspect, focusing on design system scalability, efficient development workflows, and direct contribution to the product's codebase. This blend of design and development ownership is crucial for operational efficiency in a fast-paced tech environment.
π Skills & Qualifications
Education: While no specific degree is mandated, a strong academic foundation in Design, Computer Science, or a related field is beneficial.
Experience: 5-10 years of experience in product design, with a proven track record of shipping complex digital products.
Required Skills:
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A robust portfolio showcasing shipped product work, with a specific emphasis on AI-powered products and LLM-driven flows.
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Demonstrated proficiency in writing production-quality frontend code, particularly with React.
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A strong systems-first mindset, with the ability to design scalable systems and apply them consistently.
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Deeply embedded AI workflow: daily use of tools like Claude Code is expected.
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Strong user research capabilities, including direct user interviews and analysis of product data and feedback.
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Expertise in ruthless prioritization and strategic decision-making for product development.
Preferred Skills:
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Experience designing for specialized domains such as legal, compliance, or other dense professional fields.
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Hands-on experience collaborating with Machine Learning or Data Science teams.
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Contributions to open-source projects or personal side projects that demonstrate innovative thinking and technical skill.
π Enhancement Note: The emphasis on an "AI-driven workflow" and "shipping production-quality frontend code" alongside design skills suggests this role operates at a senior level where technical execution and operational efficiency are as critical as design vision. The portfolio requirement specifically for "AI products" indicates the company's strategic focus and the need for candidates who can navigate the evolving landscape of AI in product design.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase a minimum of 2-3 significant projects demonstrating end-to-end product design ownership, ideally including AI-driven features.
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Include case studies detailing your process, from initial problem definition and user research to final design implementation and post-launch analysis.
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Highlight specific examples of your contribution to design systems, including their evolution and impact on product consistency and development speed.
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Present examples of AI prototyping and development, illustrating how AI tools were integrated into your workflow to achieve design goals.
Process Documentation:
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Detail your approach to user research and data analysis, explaining how insights informed design decisions and product strategy.
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Illustrate your methodology for building and maintaining design systems, including version control, documentation, and adoption strategies.
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Explain your process for collaborating with engineering teams, particularly in bridging the gap between design and frontend development.
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Provide examples of how you've managed product scope and prioritized features based on user needs and business objectives.
π Enhancement Note: The portfolio requirements are highly operational. Beyond showcasing design aesthetics, candidates must demonstrate a deep understanding of product development lifecycles, design system management, and direct technical contribution (React components). The emphasis on AI prototyping and its integration into the design process is a key differentiator, requiring candidates to provide tangible evidence of their AI-centric workflow.
π΅ Compensation & Benefits
Salary Range: Given the Senior Product Designer title, 5-10 years of experience, and location in Copenhagen, Denmark, a competitive salary range is estimated between DKK 500,000 - DKK 750,000 annually. This estimate is based on industry benchmarks for senior-level design and front-end development roles in major European tech hubs, adjusted for the Danish market and the specialized nature of AI and legal tech.
Benefits:
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25 vacation days per year, plus public holidays.
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International team events held a couple of times a year (e.g., recent event in Barcelona).
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An attractive warrant and equity program, offering ownership in a fast-growing company.
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A Pleo card for necessary work expenses, providing flexibility and ease of reimbursement.
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Paid parental leave, supporting work-life balance for new parents.
Working Hours: Full-time employment, with an estimated standard of 40 hours per week. The company culture emphasizes freedom and responsibility, suggesting potential for flexibility within this framework, suitable for deep-focus design and development tasks.
π Enhancement Note: The salary estimate is based on market research for Senior Product Designers in Copenhagen, Denmark, considering the company's funding status (β¬4M+ raised, recent β¬2.9M seed round) and the specialized nature of its AI and legal tech focus. The benefits package is comprehensive and aligns with typical offerings for tech roles in Western Europe, with a strong emphasis on employee well-being and growth.
π― Team & Company Context
π’ Company Culture
Industry: Legal Tech, Artificial Intelligence. Pandektes operates at the intersection of AI and legal services, aiming to revolutionize legal research with an AI-powered database. This places them in a dynamic and rapidly evolving market segment.
Company Size: Small to Medium-sized Enterprise (SME), with a growing team across multiple European locations. This size implies a fast-paced environment with significant opportunities for impact and direct contribution, but also requires agility and adaptability.
Founded: The company was founded prior to February 2025, as they announced a β¬2.9 million seed round in that month. This indicates a startup phase with established product-market fit and growth trajectory.
Team Structure:
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The operations and product teams are likely lean and highly collaborative, given the company's size and mission.
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Expect a flat hierarchy with direct access to leadership and cross-functional collaboration between design, engineering, product, and legal domain experts.
Methodology:
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Data-driven decision-making is a core tenet, with product data and user feedback heavily influencing design and development.
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Agile methodologies are likely employed to ensure rapid iteration and deployment cycles, aligning with the "shipping things that feel obviously right, and getting there fast" ethos.
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AI is not just a product feature but a fundamental tool in how the company builds and operates, influencing design prototyping, development, and problem-solving.
Company Website: https://pandektes.com
π Enhancement Note: The company culture is characterized by a strong emphasis on ownership, freedom, responsibility, and open communication. The integration of AI into the company's DNA, both in product and process, is a defining characteristic. The diverse team and commitment to inclusivity are also key cultural pillars.
π Career & Growth Analysis
Operations Career Level: This Senior Product Designer role is positioned at a mid-to-senior level within the product development function. It demands not only strong design skills but also significant technical execution and strategic input. The operational aspect of owning design systems and contributing to code implementation elevates this beyond a typical design role, offering a unique growth path towards product engineering or technical design leadership.
Reporting Structure: While not explicitly stated, a Senior Product Designer typically reports to a Head of Product, Design Lead, or CTO. In a startup environment, direct access to senior leadership is common, allowing for significant influence on product strategy and operations.
Operations Impact: The Senior Product Designer has a direct impact on the operational efficiency of the product development lifecycle by bridging design and engineering. By owning the design system and contributing code, they reduce handoffs, accelerate development velocity, and ensure the scalability and maintainability of the product's UI. Their work directly influences user adoption, retention, and the overall effectiveness of the AI-powered legal database.
Growth Opportunities:
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Specialization: Deepen expertise in AI-driven product design and legal tech, becoming a subject matter expert.
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Technical Leadership: Transition into a Technical Design Lead or Frontend Engineering role, focusing more heavily on code architecture and scalable component development.
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Product Strategy: Contribute more significantly to product strategy, leveraging design and operational insights to shape the future roadmap.
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Mentorship: Mentor junior designers and engineers, guiding them in best practices for design systems, AI integration, and collaborative development.
π Enhancement Note: The growth potential in this role is substantial due to its hybrid nature. The opportunity to develop a strong foundation in both design operations and front-end development provides a unique career trajectory, enabling movement into more technical leadership or strategic product roles within the rapidly growing AI and legal tech sectors.
π Work Environment
Office Type: The role is based in Copenhagen, Denmark, and is described as "On-site." This suggests a physical office environment where collaboration and in-person interaction are valued. The company also has offices in Germany (Frankfurt, Berlin, Cologne, Hamburg), indicating a multi-office, potentially hybrid work model for some roles, though this specific position is on-site in Copenhagen.
Office Location(s): Copenhagen, Denmark. Specific office details are not provided, but it's assumed to be a modern workspace conducive to collaboration and innovation.
Workspace Context:
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Collaborative Environment: The culture emphasizes open communication, trust, and shared passion, fostering a collaborative atmosphere. Expect frequent interaction with designers, engineers, product managers, and legal experts.
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Operations Tools & Technology: Access to cutting-edge design and development tools, including AI prototyping software, Figma, and a robust development stack (React, etc.). The environment is set up to support rapid iteration and direct contribution.
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Team Interaction: Regular team events (international ones included) and a culture that values direct input suggest ample opportunities for social interaction and cross-functional engagement.
Work Schedule: Standard full-time hours (approx. 40 per week) with an emphasis on freedom and responsibility. This likely allows for some flexibility in managing work hours, especially for deep-focus tasks, while maintaining alignment with team collaboration needs.
π Enhancement Note: The "On-site" designation in Copenhagen is critical. While the company has a broader European presence, this role requires physical presence in the Copenhagen office. The workspace is expected to be modern and supportive of a highly collaborative and technically integrated design and development process.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: Review of application, resume, and portfolio to assess alignment with role requirements, particularly AI product experience and coding skills.
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Portfolio Deep Dive: In-depth discussion of your portfolio, focusing on AI product case studies, design system contributions, and your process for prototyping and implementation. Expect to discuss specific projects and your role in them.
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Technical / Design Challenge: A practical exercise or case study designed to assess your problem-solving skills, design thinking, and ability to implement solutions, possibly involving code or AI tool usage.
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Team & Culture Fit: Interviews with team members and leadership to evaluate collaboration style, communication skills, and alignment with Pandektes' values and culture.
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Final Interview: Discussion with senior leadership to finalize the decision, potentially covering strategic contributions and long-term vision.
Portfolio Review Tips:
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Curate Strategically: Select projects that best demonstrate your experience with AI products, design systems, and your ability to write production React code. Highlight the "why" behind your design decisions and the impact of your work.
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Showcase Process & Outcome: For each project, clearly articulate the problem, your approach (including AI tool usage), your specific contributions, and the measurable outcomes or impact. Quantify results where possible.
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Demonstrate Technical Fluency: Include code samples, links to live projects, or detailed explanations of your frontend development contributions. Explain how your code implementation supports your design vision and contributes to operational efficiency.
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Highlight AI Integration: Explicitly detail your experience with AI tools (Claude Code, etc.) and how they were integral to your design and development process. Explain the benefits and challenges encountered.
Challenge Preparation:
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Understand the Domain: Familiarize yourself with legal tech and common challenges in legal research and AI applications.
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Practice AI Prototyping: Be prepared to demonstrate your ability to use AI tools for rapid prototyping or problem-solving.
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Coding Proficiency: Brush up on React and frontend best practices. Be ready to discuss your approach to building reusable components and maintaining code quality.
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Prioritization Exercises: Prepare to discuss how you would prioritize features or address conflicting requirements in a fast-paced environment.
π Enhancement Note: The interview process and portfolio review are designed to thoroughly assess a candidate's unique blend of design, AI, and coding skills. Candidates should prepare to demonstrate not just creative design thinking but also practical, operational execution and a deep understanding of how AI integrates into the product development lifecycle.
π Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma (for mockups and design system components), Claude Code, v0, Cursor (for AI-driven prototyping and development).
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Frontend Development: React (for building production-ready components and UI implementation).
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Design Systems: Tools and methodologies for building, maintaining, and scaling design systems.
Analytics & Reporting:
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Product Data Analysis: Tools for analyzing user behavior, feedback, and product performance (specific tools not listed, but likely common web analytics platforms).
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User Feedback Platforms: Systems for collecting and processing user feedback from legal professionals.
CRM & Automation:
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Internal Tools: Likely custom-built solutions or integrated platforms for managing customer interactions and workflow automation, given the AI focus.
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Version Control: Git (e.g., GitHub, GitLab) for code management and collaboration.
π Enhancement Note: The technology stack emphasizes a cutting-edge approach, heavily integrating AI tools directly into the design and development workflow. The explicit mention of React and a strong focus on design systems indicates a need for candidates who can contribute to a robust and scalable frontend architecture, with a keen eye on operational efficiency through code implementation and system design.
π₯ Team Culture & Values
Operations Values:
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Ownership: Employees are encouraged to take full responsibility for their work, from ideation to execution, with significant freedom and autonomy.
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Collaboration: A strong emphasis on open communication, trust, and teamwork across functions (design, engineering, product, legal).
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Data-Driven: Decisions are informed by product data, user feedback, and rigorous analysis to ensure impact and effectiveness.
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Efficiency & Speed: A culture that values shipping high-quality products quickly by optimizing processes and leveraging advanced tools like AI.
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Continuous Improvement: A commitment to evolving the product, design system, and internal processes based on learnings and feedback.
Collaboration Style:
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Cross-functional Integration: Designers work hand-in-hand with engineers and product managers, often blurring traditional role boundaries to achieve common goals.
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Feedback Exchange: An open culture where constructive feedback is regularly given and received, fostering a dynamic iterative process.
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Knowledge Sharing: Emphasis on sharing insights, best practices, and learnings across the team to elevate collective expertise, particularly in AI and design systems.
π Enhancement Note: The company's values are deeply intertwined with its operational philosophy: high ownership, rapid iteration enabled by AI, and strong cross-functional collaboration are key to transforming the legal tech landscape. This environment is ideal for individuals who thrive in dynamic, impact-driven settings.
β‘ Challenges & Growth Opportunities
Challenges:
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Evolving AI Landscape: Staying at the forefront of rapid advancements in AI and integrating new tools and techniques effectively into the design and development process.
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Balancing Craft and Speed: Maintaining a high standard of design quality and code craftsmanship while operating at a rapid pace and collapsing traditional handoffs.
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Complex Domain: Designing for the legal industry, which has specific user needs, stringent requirements for accuracy, and often resistance to change.
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Scalability of Design Systems: Ensuring the design system remains robust, adaptable, and efficient as the product and company grow.
Learning & Development Opportunities:
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AI Tool Mastery: Becoming an expert in leveraging cutting-edge AI tools for design and development, potentially shaping their application in the legal tech space.
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Advanced Design Systems: Gaining deep experience in architecting and scaling complex design systems for enterprise-level applications.
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Product Development in AI/Legal Tech: Developing specialized knowledge in the intersection of AI, product design, and the legal industry.
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Technical Design Leadership: Opportunity to grow into roles that blend technical expertise with design leadership, influencing product architecture and development processes.
π Enhancement Note: The challenges presented are directly related to the innovative nature of the company and its product. These challenges also represent significant growth opportunities, allowing individuals to develop highly sought-after skills in AI-driven product development and advanced design systems.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you used AI tools (like Claude Code) to significantly accelerate your design or development process. What was the outcome?" (Focus on process, tool usage, and measurable impact).
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"How would you approach designing a new AI-driven feature for legal research, considering the need for accuracy, user trust, and speed?" (Demonstrate product thinking, user empathy, and AI integration strategies).
Company & Culture Questions:
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"What aspects of Pandektes' mission and cultureβparticularly our use of AIβresonate most with you, and why?" (Show research and genuine interest in the company's unique approach).
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"How do you handle disagreements on design or technical approaches within a collaborative team? Provide an example." (Assess collaboration style and conflict resolution skills).
Portfolio Presentation Strategy:
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Narrative Arc: Structure your portfolio presentation around compelling stories that highlight the problem, your unique solution, your process (emphasizing AI and code), and the tangible results.
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Show, Don't Just Tell: Use interactive demos or clear visuals to showcase your work. For code contributions, provide concise, well-commented examples.
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Quantify Impact: Wherever possible, present metrics that demonstrate the positive impact of your design and implementation decisions (e.g., increased user engagement, reduced development time, improved accuracy of AI outputs).
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Connect to Pandektes: Tailor your presentation to highlight how your skills and experience directly address Pandektes' needs, particularly in AI product design and frontend development.
π Enhancement Note: Interview preparation should focus on demonstrating a unique blend of creative design, technical execution, and operational understanding of AI-driven product development. Candidates need to be ready to discuss their process, tool proficiency, and impact with concrete examples.
π Application Steps
To apply for this Senior Product Designer position:
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Submit your application through the provided link on Ashby HQ.
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Customize Your Resume: Tailor your resume to highlight experience with AI products, design systems, and production-ready React component development. Use keywords from the job description like "AI Prototyping," "Design Systems," "React," and "User Research."
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Curate Your Portfolio: Ensure your portfolio prominently features AI-driven projects and clearly demonstrates your ability to write production frontend code. Prepare detailed case studies that explain your process and impact.
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Prepare for Technical Discussion: Be ready to discuss your approach to AI tool integration, design system architecture, and frontend development best practices during interviews. Practice articulating your contributions and their operational benefits.
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Research Pandektes: Understand the company's mission, product, target market (legal tech), and their unique approach to AI. Be prepared to discuss how your skills align with their specific needs and ambitious goals.
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
Requires a portfolio of shipped AI products and proficiency in writing production-quality frontend code. Candidates must be deeply integrated with AI tools like Claude Code and possess a systems-first mindset for designing complex UIs.