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: April 20, 2026

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

Remote Status: On-site

🚀 Role Summary

• Drive the end-to-end design experience for Factbird's manufacturing data platform, from initial research to polished, production-ready interfaces.

• Lead with AI-driven design tools, leveraging them for research synthesis, prototyping, and UI component generation to accelerate workflows.

• Collaborate closely with Product Managers and Engineers, bridging the gap between design and code for faster, higher-quality feature releases.

• Champion a user-centric approach in product strategy and roadmap discussions, utilizing AI-generated data for rapid iteration and validation.

📝 Enhancement Note: This role is specifically tailored for a designer who embraces AI as a core part of their workflow, emphasizing speed and efficiency in delivering production-ready designs. The focus is on "prompt-driven" design and "code-adjacent" execution, differentiating it from traditional UX roles heavily reliant on static mockups and extensive handoffs.

📈 Primary Responsibilities

• AI-Driven Research & Synthesis: Utilize AI tools to plan and analyze user interviews, synthesize research findings, and generate actionable insight reports, significantly reducing manual documentation time.

• Prompt-Driven Prototyping: Generate wireframes, UI layouts, and interactive prototypes using AI tools (e.g., v0, Galileo, Claude, Cursor), moving from concept to testable prototypes efficiently.

• Code-Adjacent Design Execution: Work directly within or alongside HTML/CSS/React codebases, with AI assistance, to produce production-ready UI components and collaborate with engineers on runnable designs.

• UX Overhaul & Journey Redesign: Lead a comprehensive redesign of the platform's user experience by mapping, evaluating, and identifying friction points in key user journeys.

• Design System Stewardship: Maintain and evolve a code-based component library (e.g., in Storybook, using Tailwind tokens), leveraging AI for consistency audits, variant generation, and documentation updates.

• Product Analytics & Feature Impact Measurement: Define and track UX-relevant metrics (e.g., task completion, drop-off rates, feature adoption, satisfaction) to assess feature effectiveness and product growth contribution.

• Cross-Functional Collaboration: Partner with PMs on scope definition and engineers on implementation, ensuring seamless integration and faster delivery than traditional workflows. Coach frontend developers on design principles.

• Product Thinking: Contribute to roadmap discussions with a user-centric perspective, using AI-generated data and rapid iteration to challenge assumptions and validate ideas.

• Product Launch Coordination: Manage the end-to-end launch process from design sign-off to release, ensuring consistent experience, messaging alignment, and effective feedback loops.

📝 Enhancement Note: The responsibilities clearly highlight a shift from traditional design handoffs to a more integrated, code-centric design process powered by AI. Emphasis is placed on AI's role in accelerating research, prototyping, and component development, as well as the designer's ability to work with code and contribute to product strategy.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a strong portfolio demonstrating equivalent experience and skills is paramount.

Experience: 3–6 years in UX/Product Design, specifically within a B2B SaaS environment, ideally with complex or data-heavy products.

Required Skills:

• AI Tooling Fluency: Hands-on experience with AI design or prototyping tools (e.g., v0, Lovable, Galileo AI, Uizard, Claude, Cursor) or a proven ability to learn new tools rapidly.

• Code Comfort: Ability to read and edit HTML, CSS, and basic React/JSX. You should be comfortable collaborating within a codebase with AI assistance.

• UX Craftsmanship: Strong understanding of interaction design, information architecture, and accessibility standards (WCAG).

• Qualitative Research: Experience with user research methodologies, including using AI for synthesis and pattern identification.

• Portfolio Demonstration: A portfolio showcasing end-to-end execution, including research, wireframes, high-fidelity UI, shipped products, and examples of simplifying complex platforms.

• Proactive Mindset: Curiosity and proactivity regarding emerging AI tools, comfort with experimentation, rapid iteration, and user-centric decision-making.

Preferred Skills:

• Experience with design systems managed in code (e.g., Storybook, Tailwind CSS tokens).

• Familiarity with manufacturing data or industrial software environments.

• Experience coaching or guiding frontend developers on design principles.

📝 Enhancement Note: The "AI tooling fluency" and "Code comfort" are emphasized as critical requirements, reflecting the role's unique approach. The experience requirement specifies B2B SaaS and complex products, aligning with Factbird's domain.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase at least 2-3 comprehensive case studies demonstrating the full design lifecycle from problem identification and user research to final shipped product.

• AI Tool Integration: Explicitly detail how AI tools were used in each case study to accelerate research, ideation, prototyping, or development. Provide examples of prompts or AI outputs if relevant.

• Code-Adjacent Contributions: Include examples where you worked directly with or alongside code (HTML, CSS, React) to implement design elements or components.

• Simplification of Complexity: Highlight projects where you successfully simplified complex data or workflows for end-users, particularly within a B2B context.

• Design System Examples: If applicable, showcase contributions to or management of a design system, especially if it's code-based.

Process Documentation:

• User Journey Mapping: Demonstrate the ability to map and critically evaluate user journeys, identifying pain points and proposing AI-informed solutions.

• Rapid Prototyping & Testing: Show evidence of quickly moving from concept to interactive prototypes using AI tools and iterating based on user feedback.

• Metrics-Driven Design: Provide examples of how you defined and used UX-relevant metrics to measure the impact of design decisions and product changes.

📝 Enhancement Note: The portfolio requirements are heavily weighted towards demonstrating AI proficiency and a code-adjacent approach, directly reflecting the core requirements of the role. Emphasis is placed on showing how AI was used, not just that it was used.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: €50,000 - €75,000 annually.

• Methodology: This estimate is based on market data for mid-to-senior level Product/UX Designers in Copenhagen, Denmark, considering the specified experience level (3-6 years) and the specialized AI/code skill set. The upper end reflects the demand for designers comfortable with AI and code. Factbird also mentions a "Competitive salary," which could indicate flexibility above or within this range.

Benefits:

• Flexible Working Hours: Allows for better work-life balance and adaptation to personal schedules.

• Competitive Salary: A commitment to offering compensation that aligns with industry standards and candidate experience.

• Internet Reimbursement: Supports remote or hybrid work arrangements by covering connectivity costs.

• Thoughtful Onboarding: Comprehensive support to ensure a smooth integration into the company and role.

• Tailored Career Path: Bi-yearly Individual Development Plan (IDP) conversations to foster professional growth and skill development.

• Active Breaks: Encouragement and provision for physical activity (e.g., Tuesday runs, Friday yoga) to promote well-being.

• Factbird Kickoff & Team Days: Company-wide gatherings for team building and strategic alignment across regions.

• Global, Inclusive Culture: Commitment to diversity and inclusion, creating a welcoming environment for all employees.

Working Hours:

• Standard full-time employment, with the benefit of flexible working hours. This suggests that while the role is on-site, there's an allowance for personal schedule management.

📝 Enhancement Note: Salary is estimated due to lack of explicit mention. Benefits are detailed to highlight Factbird's commitment to employee well-being, professional development, and a positive work environment, with specific mention of flexible hours and active breaks.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focused on Manufacturing Data and AI-driven decision-making for factories. Factbird operates at the intersection of Industrial IoT, AI, and SaaS.

Company Size: Factbird is likely a growing startup or scale-up. The mention of "scaling our platform across global enterprise customers" and "partnering directly with our product, engineering, and commercial stakeholders" suggests a dynamic, agile environment where individual contributions are highly visible. The inclusion of "Factbird Kickoff & Team Days" implies a company culture that values in-person connection despite potential global reach.

Founded: While the founding date isn't specified, the company's mission to "turn complex manufacturing data into simple, powerful decisions" and its focus on AI integration suggest a relatively modern and forward-thinking organization.

Team Structure:

• Product Team: The designer will report to the Head of Product, indicating a structured product development process.

• Cross-Functional Collaboration: Close partnerships are expected with Product Management, Engineering (especially frontend developers), Commercial Stakeholders (Sales, Marketing), and Customer Success.

• Agile Environment: The emphasis on rapid iteration, shipping fast, and using AI to accelerate workflows points towards an agile or lean development methodology.

Methodology:

• AI-First Design: The core methodology revolves around leveraging AI tools to augment and accelerate traditional design processes, from research synthesis to UI generation and code integration.

• User-Centricity: Despite the AI focus, the role emphasizes understanding user needs, simplifying complexity, and ensuring features meet user requirements through research and analytics.

• Iterative Development: The process encourages rapid iteration, experimentation, and data-driven validation to refine product experiences.

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

📝 Enhancement Note: The company context is built around Factbird's mission and its innovative approach to manufacturing data using AI. The culture is inferred to be dynamic, collaborative, and forward-thinking, with a strong emphasis on leveraging cutting-edge technology.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a key individual contributor within the Product team, operating at a Mid-Senior level. It offers significant ownership and influence over the product's user experience and design direction. The emphasis on "owning the end-to-end design experience" and being a "core driver" suggests a high level of autonomy and responsibility.

Reporting Structure: The Product / UX Designer reports directly to the Head of Product. This provides a clear line of communication and strategic alignment within the product development function. Collaboration will extend across engineering and commercial teams.

Operations Impact: The designer's impact is directly tied to simplifying complex manufacturing data, enabling better decision-making for factory managers. Success will be measured by improvements in user task completion, reduced friction, increased feature adoption, and overall product growth, all driven by a superior, AI-enhanced user experience. The role's ability to "challenge assumptions and validate ideas early and often" through rapid iteration highlights its strategic influence.

Growth Opportunities:

• AI Design Specialization: Deepen expertise in AI-driven design tools and methodologies, becoming a go-to expert within the company and potentially the broader industry.

• Product Strategy Contribution: Grow from a design executor to a strategic partner, influencing product roadmap decisions and feature prioritization based on user insights and AI-driven analysis.

• Leadership Potential: As the company scales, there may be opportunities to mentor junior designers, lead design initiatives, or even move into a Design Lead or Manager role, especially within an AI-focused design function.

• Cross-Functional Skill Development: Gain deeper insights into engineering (React, frontend development) and product management principles through close collaboration.

📝 Enhancement Note: The growth analysis focuses on how this unique role, blending AI and design, can lead to specialized expertise, strategic influence, and potential leadership opportunities within a scaling tech company like Factbird.

🌐 Work Environment

Office Type: The role is specified as "On-site" in Copenhagen. This suggests a physical office environment where collaboration and in-person interaction are prioritized. Factbird mentions "Friday yoga in the office," reinforcing the presence of a physical workspace.

Office Location(s):

• Copenhagen, Denmark: Located at Nyropsgade 37, 3rd Floor, 1602 Copenhagen. This is a central business district location, implying accessibility and a professional setting.

Workspace Context:

• Collaborative Hub: The on-site nature suggests a space designed for collaboration, with opportunities for spontaneous discussions and team interactions.

• Technology-Forward: While not explicitly stated, the company's focus on AI implies that the office environment will likely be equipped with modern technology to support design and development workflows.

• Team Integration: The emphasis on "Factbird Kickoff & Team Days" and "Active breaks" points to a work environment that encourages team cohesion and active participation.

Work Schedule:

• Full-Time: Standard employment hours.

• Flexible Working Hours: A key benefit that allows employees to adjust their daily start and end times, provided core responsibilities and collaborative needs are met. This offers a degree of autonomy within the on-site structure.

📝 Enhancement Note: The work environment is characterized by an on-site presence in a prime Copenhagen location, fostering collaboration, with the added benefit of flexible working hours to support work-life balance.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with AI tooling proficiency, code comfort, and B2B SaaS experience.

• Portfolio Presentation & Discussion: Expect to walk through 1-2 key case studies from your portfolio. Be prepared to discuss your design process, how you leveraged AI, your collaboration with engineers, and how you simplified complex challenges.

• Technical/Design Challenge: Potentially a practical exercise, possibly involving AI tool usage or a design problem related to complex data, to assess your problem-solving skills and workflow.

• Cultural Fit & Team Interviews: Conversations with the Head of Product and potentially engineers or other team members to evaluate your collaborative style, proactivity, and alignment with Factbird's values.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate how and why you used specific AI tools in your projects. Show examples of prompts, AI-generated outputs, and how you refined them.

• Demonstrate Code-Adjacent Skills: Showcase instances where you worked with HTML/CSS/React, even if it was primarily for component refinement or understanding implementation constraints.

• Focus on Impact & Simplification: For each case study, emphasize the problem you solved, the user needs you addressed, and the tangible impact of your design, especially in simplifying complex scenarios.

• Showcase End-to-End Ownership: Detail your involvement from initial research and ideation through to final implementation and iteration.

• Be Ready for "Why Not Figma?": Prepare to articulate your reasoning for using AI tools over or alongside traditional tools like Figma for specific tasks, focusing on efficiency and outcomes.

Challenge Preparation:

• AI Tool Familiarization: Practice using or research common AI design tools (v0, Galileo, Cursor, Claude) to understand their capabilities and limitations.

• Prompt Engineering Basics: Understand how to craft effective prompts for design generation and problem-solving.

• Core UX Principles: Refresh your knowledge of interaction design, information architecture, and accessibility, as these will be your quality control for AI outputs.

• B2B SaaS Context: Think about the unique challenges of designing for enterprise users, data-heavy applications, and complex workflows.

📝 Enhancement Note: The application process emphasizes practical demonstration of AI skills and code comfort, with the portfolio review being a critical component. Preparation advice focuses on these unique aspects of the role.

🛠 Tools & Technology Stack

Primary Design & Prototyping Tools:

• AI Design Tools: v0, Galileo AI, Lovable, Claude, Cursor (or similar AI-powered design and prototyping platforms). Expectation is to lead with these.

• Traditional Tools (Secondary): Figma is available if necessary, but the emphasis is on finding faster AI-driven paths.

Development & Design System Tools:

• Code Languages: HTML, CSS, React/JSX (for reading, editing, and contributing components).

• Design System Management: Storybook, Tailwind CSS tokens (or similar component library management tools).

Research & Analytics Tools:

• AI Research Synthesis Tools: Utilized for planning and analyzing user interviews, synthesizing findings, and generating insight reports.

• Product Analytics Tools: Used for defining and tracking UX-relevant metrics (e.g., task completion, drop-off rates, feature adoption, satisfaction scores). Specific tools are not mentioned but would likely integrate with the platform.

Collaboration & Project Management:

• Standard internal tools for communication and project management, likely including tools for cross-functional team collaboration.

📝 Enhancement Note: This section highlights the cutting-edge technology stack, with a strong emphasis on AI design tools and a code-centric approach to design systems, reflecting Factbird's innovative strategy.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Adoption: A core value is embracing and leveraging emerging AI technologies to drive efficiency and create better products.

• User-Centricity: Deep commitment to understanding and solving user problems, ensuring that technology serves human needs.

• Simplicity & Clarity: A drive to transform complex data into simple, actionable insights for users.

• Collaboration & Transparency: Encouraging open communication and partnership across product, engineering, and commercial teams.

• Execution & Speed: Valuing the ability to move fast, iterate quickly, and deliver high-quality results efficiently.

• Inclusivity & Diversity: Fostering a global, inclusive culture where diverse backgrounds and perspectives are celebrated.

Collaboration Style:

• Integrated Teams: Working closely with Product Managers to define scope and Engineers to implement designs, minimizing traditional handoff friction.

• Coaching & Mentorship: The designer is expected to "coach frontend developers in sound design principles," indicating a collaborative teaching and learning dynamic.

• Data-Informed Decision Making: Utilizing AI-generated data and product analytics to inform design choices and challenge assumptions.

• Cross-Functional Alignment: Ensuring consistent experience, messaging, and feedback loops across product, engineering, marketing, sales, and customer success for launches.

📝 Enhancement Note: The team culture values innovation, AI adoption, and user focus, combined with a collaborative, fast-paced execution style. The designer's role includes not just creating designs but also influencing and coaching other teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Pioneering AI Design Workflows: Establishing and refining new, AI-driven design processes that may deviate from traditional industry standards.

• Simplifying Extreme Complexity: Translating intricate manufacturing data and AI outputs into intuitive user experiences for factory personnel.

• Balancing AI Speed with Quality: Ensuring that the rapid pace enabled by AI doesn't compromise design quality, usability, or accessibility.

• Cross-Functional Alignment in a Fast-Paced Environment: Maintaining design integrity and consistent user experience across multiple teams and rapid development cycles.

• Staying Ahead of AI Evolution: Continuously learning and adapting to the rapidly changing landscape of AI design tools and capabilities.

Learning & Development Opportunities:

• Deep AI Tool Mastery: Becoming an expert in the latest AI tools for design, research, and prototyping, potentially shaping how Factbird uses them.

• Product Strategy Influence: Contributing significantly to the product roadmap and feature definition, moving beyond execution to strategic input.

• Codebase Integration: Enhancing skills in HTML, CSS, and React by working directly within the codebase, bridging design and development further.

• Industry Expertise: Gaining in-depth knowledge of manufacturing data, industrial processes, and AI applications in the B2B SaaS sector.

• Mentorship and Leadership: Opportunities to guide frontend developers and potentially mentor future design hires as the team grows.

📝 Enhancement Note: Challenges are framed around the pioneering nature of AI-driven design and the complexity of the domain, while growth opportunities emphasize specialization, strategic impact, and skill expansion in a cutting-edge field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI tools to significantly accelerate your design process. What was the outcome?" (Focus on specific tools, prompts, and measurable improvements.)

• "How would you approach redesigning a complex user journey for factory floor operations using AI-assisted tools?" (Demonstrate your process, AI integration, and focus on simplification.)

• "Imagine you need to create a new UI component. Walk me through how you'd use AI and code (HTML/CSS/React) to prototype and deliver it, rather than using traditional design software." (Showcase your code comfort and AI workflow.)

Company & Culture Questions:

• "What interests you about Factbird's mission to simplify manufacturing data with AI?" (Research Factbird's product and market.)

• "How do you see AI changing the role of a UX designer in the next 3-5 years, and how do you stay current?" (Show your forward-thinking approach and proactive learning.)

Portfolio Presentation Strategy:

• Structure: For each case study, clearly outline: Problem, Your Role, AI Tools Used, Process (Research, Ideation, Prototyping, Design, Implementation), Solution, and Impact (Metrics).

• AI Emphasis: Explicitly call out AI's contribution at each relevant stage. Show examples of AI outputs and how you iterated on them.

• Code Integration: If possible, show snippets of code or discuss how your design directly informed or integrated with the codebase.

• Storytelling: Frame your projects as compelling stories of problem-solving and user-centric innovation, highlighting your ability to simplify complexity.

• Conciseness: Focus on the most impactful aspects of your work, respecting time constraints.

📝 Enhancement Note: Interview preparation advice is tailored to the unique AI and code-centric requirements of the role, guiding candidates on how to best showcase their relevant skills and experience.

📌 Application Steps

To apply for this Product / UX Designer position:

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

• Portfolio Customization: Curate your portfolio to prominently feature case studies demonstrating your experience with AI design tools, your ability to simplify complex B2B SaaS products, and any work involving HTML, CSS, or React. Clearly articulate your process and the impact of your designs.

• Resume Optimization: Tailor your resume to highlight keywords such as "Product Design," "UX Design," "AI Design Tools," "Prototyping," "B2B SaaS," "HTML," "CSS," "React," "User Research," and "Design Systems." Quantify achievements where possible.

• Interview Preparation: Practice articulating your design process, specifically how you leverage AI, and your comfort working with code. Prepare to discuss your portfolio projects in detail and answer strategy-based questions about AI in design.

• Company Research: Familiarize yourself with Factbird's mission, product, and target market (manufacturing data). Understand their AI-first approach and how this role contributes to their vision.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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