Product / UX Designer

📍 Job Overview

Job Title: Product / UX Designer

Company: Factbird

Location: Copenhagen, Capital Region of Denmark, Denmark

Job Type: Full Time

Category: Product Design / UX Design

Date Posted: May 20, 2026

Experience Level: Mid-Level (3-6 years)

Remote Status: On-site

🚀 Role Summary

• Lead the end-to-end product and UX design process, leveraging AI-powered tools for research synthesis, wireframing, and prototyping.

• Drive a comprehensive user experience overhaul of Factbird's B2B SaaS platform, focusing on simplifying complex manufacturing data.

• Collaborate closely with product management and engineering teams, contributing directly to production-ready UI components and code.

• Maintain and advance a code-based design system, ensuring consistency and efficiency across the platform.

• Utilize product analytics to measure feature impact and inform design decisions, contributing to overall product growth.

📝 Enhancement Note: The role emphasizes a significant shift towards AI-driven design workflows, moving away from traditional tools like Figma for core tasks. This indicates a forward-thinking company focused on efficiency and innovation. The focus on "simplifying complex manufacturing data" suggests a need for strong information architecture and data visualization skills.

📈 Primary Responsibilities

• Spearhead user research initiatives using AI tools to efficiently plan, analyze user interviews, and synthesize findings into actionable insight reports.

• Generate wireframes, UI layouts, and interactive prototypes rapidly through prompt-driven AI tools, facilitating swift concept testing.

• Contribute directly to production-ready UI components by working within or alongside code (HTML/CSS/React) with AI assistance, enabling seamless designer-developer collaboration.

• Lead a ground-up redesign of the current platform's user experience, critically evaluating and optimizing key user journeys to eliminate friction and enhance usability.

• Steward and evolve a component library managed within code (e.g., Storybook, Tailwind tokens), leveraging AI for consistency audits and documentation updates.

• Define, track, and analyze UX-relevant metrics such as task completion rates, drop-off points, and feature adoption to assess user needs fulfillment and product growth contribution.

• Partner closely with Product Managers to refine scope and with Engineers during implementation, accelerating the design-to-code delivery cycle.

• Coach frontend developers on sound design principles to ensure consistent and high-quality user interfaces.

• Contribute to product roadmap discussions with a user-centric perspective, utilizing AI-generated data and rapid iteration to validate ideas.

• Manage the end-to-end product launch process from a design perspective, ensuring consistent experiences and messaging alignment across departments.

📝 Enhancement Note: The responsibilities highlight a hands-on approach to design execution, not just conceptualization. The emphasis on "code-adjacent design execution" and coaching engineers suggests a strong need for practical understanding of front-end development principles and the ability to bridge the gap between design and engineering.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio and practical experience demonstrating mastery of UX/Product Design principles are paramount. A background in Human-Computer Interaction (HCI), Design, or a related field is beneficial.

Experience: 3–6 years of dedicated experience in UX/Product Design, with a proven track record in B2B SaaS environments.

Required Skills:

• Demonstrated experience in end-to-end product and UX design execution, with a portfolio showcasing work on complex or data-heavy B2B SaaS products.

• Hands-on proficiency with AI design or prototyping tools such as v0, Lovable, Galileo AI, Uizard, or similar, coupled with a strong aptitude for quickly adopting new AI technologies.

• Comfort and practical ability in reading and editing HTML, CSS, and basic React/JSX, enabling effective collaboration within codebases with AI assistance.

• Strong command of interaction design principles, information architecture, and accessibility standards (WCAG).

• Experience with qualitative user research methods and the ability to leverage AI for efficient synthesis and pattern identification.

• Proven ability to simplify complex platforms and user flows, as evidenced in portfolio case studies.

Preferred Skills:

• Experience with design system management, particularly within code-based frameworks like Storybook or using Tailwind CSS.

• Familiarity with product analytics tools and methodologies for tracking and analyzing UX metrics.

• Experience in user journey mapping and redesign initiatives.

• Basic understanding of manufacturing processes or data-heavy industries.

📝 Enhancement Note: The requirement for "AI tooling fluency" and "code comfort" are critical differentiators for this role, indicating a need for candidates who are not only skilled designers but also early adopters and practitioners of AI in the design process, comfortable working closely with development workflows.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end design execution, from initial research and ideation to final shipped products.

• Specific examples demonstrating the ability to simplify complex platforms and data-heavy user experiences.

• Case studies illustrating the application of AI tools in the design process, highlighting efficiency gains or novel approaches.

• Evidence of wireframes, high-fidelity UI designs, and interactive prototypes, preferably generated or significantly augmented by AI.

Process Documentation:

• Examples of how user research was conducted and synthesized, emphasizing the role of AI in accelerating this phase.

• Case studies detailing the process of generating prototypes using AI tools and the subsequent testing and iteration cycles.

• Documentation of contributions to or management of a code-based design system, including examples of component library contributions and consistency audits.

• Evidence of how product analytics and user feedback were used to inform design iterations and measure feature impact.

• Demonstrations of collaboration with product managers and engineers, showcasing how AI facilitated faster design-to-development handoffs.

📝 Enhancement Note: The portfolio is expected to heavily feature AI integration in the design process, demonstrating practical application and measurable outcomes. Candidates should be prepared to articulate not just the final design, but the innovative processes used, particularly those leveraging AI for speed and efficiency.

💵 Compensation & Benefits

Salary Range: Based on the experience level (3-6 years), location (Copenhagen, Denmark), and the specialized nature of AI tool integration in design, a competitive salary range is estimated. For a Mid-Level Product/UX Designer in Copenhagen, salaries typically range from DKK 450,000 to DKK 650,000 annually. This estimate considers cost of living, industry benchmarks for tech roles in Denmark, and the unique skill set required.

Benefits:

• Flexible working hours to promote work-life balance.

• Competitive salary package.

• Internet reimbursement to support remote or hybrid work setups.

• Thoughtful and structured onboarding process.

• Tailored career path development through bi-yearly Individual Development Plan conversations.

• Opportunities for active breaks and wellness activities (e.g., Tuesday runs, Friday yoga).

• Participation in Factbird Kickoff events and Team Days for company-wide connection.

• Access to a global, inclusive, and diverse company culture.

Working Hours: While specific daily hours are not detailed, the mention of "Flexible working hours" suggests a focus on output and results rather than strict adherence to a 9-to-5 schedule. A standard full-time role in Denmark is typically around 37-40 hours per week.

📝 Enhancement Note: The salary estimate is based on general market data for UX/Product Designers in Copenhagen and Factbird's stated commitment to a "competitive salary." Actual compensation will depend on the candidate's specific experience, skills, and negotiation. The benefits package emphasizes employee well-being, professional growth, and company culture.

🎯 Team & Company Context

🏢 Company Culture

Industry: Factbird operates within the Manufacturing Technology and Data Analytics sector, focusing on transforming complex manufacturing data into actionable business decisions through AI. This niche requires a deep understanding of industrial processes and data visualization.

Company Size: Factbird is likely a growing scale-up or mid-sized company, indicated by the need for a core designer and the mention of scaling global enterprise customers. This size often fosters a dynamic, collaborative environment with opportunities for significant impact.

Founded: While the founding year isn't provided, the company's mission and focus on AI suggest it's a relatively modern or rapidly evolving tech company.

Team Structure:

• The Product team likely includes a Head of Product, Product Managers, and this Product/UX Designer.

• Engineering teams will include frontend developers with whom the designer will collaborate closely.

Methodology:

• Data-driven Decision Making: Emphasis on using AI-generated data and product analytics to inform design and product strategy.

• Agile & Iterative Design: The role involves rapid iteration, quick concept testing, and continuous improvement, facilitated by AI tooling.

• AI-Augmented Workflows: A core methodology is the integration of AI across the entire design lifecycle, from research to code-adjacent execution.

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

📝 Enhancement Note: Factbird's focus on AI in manufacturing data positions it at the intersection of cutting-edge technology and a traditional industry. The culture is likely to be innovative, fast-paced, and geared towards efficiency through technology, attracting individuals who are comfortable with rapid change and experimentation.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level to Senior Individual Contributor, responsible for owning the design process end-to-end. It's a critical role within the product team, driving user experience and product direction.

Reporting Structure: The Product/UX Designer reports directly to the Head of Product, indicating a close working relationship with product leadership and direct influence on product strategy.

Operations Impact: The designer's impact is direct and significant, influencing how users interact with complex manufacturing data, thereby affecting adoption rates, user satisfaction, and ultimately, the success of Factbird's platform in the enterprise market. The role is key to translating complex data into intuitive, actionable insights for factory operations.

Growth Opportunities:

• AI Design Specialization: Deepen expertise in AI-driven design tools and methodologies, becoming a key thought leader within the company on this topic.

• Product Leadership: Transition into a Product Management role by leveraging deep user understanding and strategic product thinking gained from this design position.

• Team Leadership: As the design function grows, potentially move into a Lead or Manager role, overseeing other designers and shaping the design strategy.

• Cross-functional Skill Development: Gain deeper insights into engineering processes and product strategy, broadening skill sets beyond core design.

📝 Enhancement Note: This role offers a unique opportunity to pioneer AI integration in product design within a specific industry context. Growth potential is high for individuals who excel in this innovative environment and can demonstrate strategic impact on product development and user adoption.

🌐 Work Environment

Office Type: The role is based in Copenhagen, Denmark, with an "On-site" work arrangement. This suggests a primary office location where collaboration and team interaction are expected.

Office Location(s): The office is located at Nyropsgade 37, 3rd Floor, Copenhagen, 1602, Denmark. This is a central city location, likely accessible via public transport.

Workspace Context:

• Collaborative Environment: The emphasis on "Active breaks" and "Factbird Kickoff & Team Days" points to a culture that values in-person connection and team building.

• Technology-Forward: Expect access to modern technology and tools, especially those related to AI-assisted design, as the company actively promotes their use.

• Cross-functional Interaction: The role requires frequent interaction with Product Managers and Engineers, suggesting an open and collaborative workspace conducive to quick communication and problem-solving.

Work Schedule: While "Flexible working hours" are offered, the on-site requirement implies a structured work week centered around office presence, balanced with personal flexibility.

📝 Enhancement Note: The on-site requirement in Copenhagen, combined with flexible hours, suggests a company that values in-person collaboration and team cohesion while still offering autonomy to its employees. The work environment is likely dynamic and focused on innovation, especially concerning AI technologies.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio, with a strong emphasis on AI tool usage and impact.

• Hiring Manager Interview: Discussion with the Head of Product to assess your experience, design philosophy, and fit with the team and AI-centric approach.

• Portfolio Presentation & Case Study: A session where you present your portfolio, likely focusing on a specific project that demonstrates your ability to simplify complex data or leverage AI tools. Expect to discuss your process, challenges, and outcomes.

• Technical/Team Interview: Potentially a session with engineers or other designers to discuss your approach to collaboration, code comfort, and problem-solving within a technical context.

• Final Interview: May involve leadership or a broader team discussion to assess cultural fit and strategic alignment.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate how AI tools were used in your projects, the specific tools, your prompts, and the resulting benefits (speed, efficiency, novel solutions).

• Showcase Complexity Simplification: Include case studies where you successfully translated complex data or processes into intuitive user experiences.

• Demonstrate End-to-End Ownership: Present projects that show your full involvement from research to implementation, even if AI assisted.

• Quantify Impact: Where possible, use metrics (e.g., improved conversion rates, reduced task completion time, increased feature adoption) to demonstrate the success of your designs.

• Code Comfort Evidence: If possible, include examples of UI components you've contributed to or worked on directly in code, even if AI-assisted.

Challenge Preparation:

• AI Prompting Exercises: Be ready to discuss your approach to crafting effective prompts for AI design tools.

• Hypothetical Design Challenge: You might be given a brief problem related to manufacturing data and asked to outline your AI-assisted design approach.

• Code Review/Contribution: Be prepared to discuss your comfort level with HTML/CSS/React and how you'd collaborate with engineers using AI assistance.

• Process Articulation: Practice explaining your design process, emphasizing how AI enhances each stage.

📝 Enhancement Note: The interview process and portfolio review will heavily scrutinize your practical experience with AI design tools and your ability to integrate them effectively into a professional design workflow. Candidates should be prepared to defend their tool choices and demonstrate tangible results achieved through AI augmentation.

🛠 Tools & Technology Stack

Primary Tools:

• AI Design & Prototyping Tools: v0, Galileo AI, Lovable, Uizard, Claude, Cursor (or similar) are central to this role. Proficiency and a proactive approach to learning new AI tools are essential.

• Traditional Design Tools: While AI is prioritized, familiarity with Figma is noted as acceptable if the job requires it, but the expectation is to move beyond it for core tasks.

Analytics & Reporting:

• Product Analytics Tools: Implicitly required for tracking UX metrics (task completion, drop-off rates, feature adoption, satisfaction scores). Specific tools are not listed but candidates should be familiar with the concept.

• Data Synthesis Tools: AI tools will likely be used for synthesizing research data.

CRM & Automation:

Design System & Development:

• Code-Based Design System: Storybook, Tailwind CSS tokens are mentioned as potential technologies for managing the component library.

• Web Technologies: HTML, CSS, React/JSX are key for code-adjacent design execution.

📝 Enhancement Note: The technology stack is heavily weighted towards AI-driven design platforms and modern web development technologies. Candidates must demonstrate not just familiarity but practical application of these tools, particularly in how they accelerate the design process and integrate with engineering workflows.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong emphasis on embracing and experimenting with new AI technologies to drive efficiency and better outcomes.

• User-Centricity: A commitment to understanding and solving user needs, even within complex data environments, ensuring AI serves the user.

• Efficiency & Speed: Valuing rapid iteration, quick prototyping, and fast delivery cycles, amplified by AI tools.

• Collaboration & Transparency: Fostering open communication and partnership between design, product, and engineering teams.

• Quality & Craftsmanship: Maintaining high standards for user experience and interface design, even with AI assistance.

Collaboration Style:

• AI-Augmented Partnership: The collaboration style is expected to be highly efficient, leveraging AI as a co-pilot for designers and developers, enabling faster iterations and shared understanding.

• Cross-functional Integration: Close partnerships with Product Managers for scope definition and Engineers for seamless implementation, bridging potential gaps quickly.

• Feedback-Driven: A culture that encourages continuous feedback loops to refine designs and product features based on user insights and performance data.

📝 Enhancement Note: Factbird's culture appears to be a blend of cutting-edge AI adoption and a grounded approach to user needs and product quality. The emphasis on collaboration, especially with engineers, highlights a team that works cohesively to bring innovative products to market.

⚡ Challenges & Growth Opportunities

Challenges:

• Pioneering AI in Design: Establishing and refining best practices for AI-driven design workflows within the company and the specific industry context.

• Simplifying Manufacturing Complexity: Effectively translating intricate manufacturing data and processes into intuitive and actionable user interfaces.

• Bridging Design & Code: Ensuring smooth and efficient integration between AI-assisted design outputs and production code, minimizing friction with engineering.

• Maintaining Design Quality: Balancing the speed and efficiency of AI tools with the need for high-quality, user-centered design and accessibility.

• Adapting to Rapid AI Evolution: Staying abreast of the constantly evolving landscape of AI design tools and techniques.

Learning & Development Opportunities:

• Deep Dive into AI Design: Become an expert in utilizing and optimizing AI tools for all facets of the design process.

• Industry-Specific Design Expertise: Develop a strong understanding of manufacturing data, operations, and the unique UX challenges in this sector.

• Product Strategy Contribution: Influence product roadmaps and strategy through user-centric insights and data-driven design recommendations.

• Cross-functional Skill Enhancement: Gain practical experience working closely with engineering and product management in an agile, AI-augmented environment.

• Potential for Leadership: Grow into a leading role within the design function as the company scales.

📝 Enhancement Note: This role presents a significant opportunity for professional growth at the forefront of AI in design. The challenges are substantial but offer a unique chance to shape processes and contribute to a company that is innovating in a critical industry.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI to significantly accelerate your design process. What tools did you use, what were your prompts, and what was the outcome?"

• "How would you approach redesigning the user experience for a complex manufacturing dashboard to make it more intuitive for factory floor operators?"

• "Explain your process for collaborating with engineers when your design is generated or heavily influenced by AI. How do you ensure code quality and consistency?"

• "How do you balance the speed and potential for AI-generated outputs with the need for human oversight, accessibility, and high-quality UX craft?"

Company & Culture Questions:

• "What are your thoughts on Factbird's approach to AI in design, and how does it align with your own design philosophy?"

• "How do you stay updated on the latest AI tools and trends in the design space?"

• "Describe your ideal collaboration dynamic with product managers and engineers."

Portfolio Presentation Strategy:

• Focus on AI Augmentation: Clearly delineate which parts of your projects were AI-assisted and explain the specific benefits achieved.

• Tell a Story of Simplification: For complex projects, walk through the problem, your AI-driven approach, and how you simplified the user experience.

• Showcase Code-Adjacent Work: If possible, present examples of UI components or interactions you've worked on that are close to or in production code.

• Quantify Outcomes: Be ready to discuss metrics and user feedback that validate the success of your designs.

• Be Prepared for Prompt Engineering Discussion: Have examples of prompts you've used and how you refined them for better design outputs.

📝 Enhancement Note: Interviewers will be looking for candidates who are not only skilled designers but also adept at leveraging AI as a powerful tool to enhance their workflow, speed up delivery, and solve complex problems. Your ability to articulate your AI-driven process and its impact will be critical.

📌 Application Steps

To apply for this Product / UX Designer position:

• Submit your application through the provided application link on Pinpoint.

• Customize Your Resume: Highlight your experience with AI design tools, B2B SaaS environments, and your comfort with HTML/CSS/React. Quantify achievements where possible, especially those related to efficiency gains or process improvements driven by AI.

• Curate Your Portfolio: Ensure your portfolio prominently features projects showcasing AI integration, simplification of complex data, and end-to-end design execution. Prepare a concise narrative for each project, focusing on your process, challenges, and the impact of your design decisions.

• Prepare Your Presentation: Practice presenting your portfolio, focusing on your AI-assisted workflows and how you collaborated with engineering. Be ready to discuss specific prompts and outcomes.

• Research Factbird: Understand Factbird's mission, their focus on manufacturing data and AI, and their company culture. Tailor your application and interview responses to align with their innovative and user-centric approach.

⚠️ 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.