Product / UX Designer (B2B SaaS, Copenhagen)

Job summary

The role involves leading the design experience for a B2B SaaS platform, focusing on simplifying complex manufacturing data through user-centric design. The designer will utilize AI tools to enhance the design process from research to production-ready interfaces, collaborating closely with product managers and engineers.

Qualifications

• 3–6 years of experience in UX/product design, particularly in a B2B SaaS context with complex products.
• Proficiency with AI design tools such as v0, Lovable, or Galileo AI, and a quick learner of new technologies.
• Comfortable with HTML, CSS, and basic React/JSX, enabling collaboration with engineering teams.
• Strong understanding of interaction design, information architecture, and accessibility standards (WCAG).
• Experience in qualitative research methods and using AI for data synthesis.
• A portfolio showcasing research, wireframes, high-fidelity UI, and examples of simplifying complex platforms.
• A curious mindset towards emerging AI tools and a willingness to experiment and iterate.

Responsibilities

• Conduct user research and synthesize findings using AI tools to generate insights.
• Create wireframes and prototypes with AI assistance, minimizing reliance on traditional design software.
• Collaborate with engineers to produce production-ready UI components directly in code.
• Lead redesign efforts for the platform's user experience, mapping key user journeys.
• Maintain and evolve a design system, ensuring consistency and up-to-date documentation.
• Define and track UX metrics to evaluate feature effectiveness and user satisfaction.
• Work closely with cross-functional teams to ensure cohesive product launches and user experiences.

Skills

• Strong execution skills in design and prototyping.
• Ability to bridge design and engineering through effective communication.
• Familiarity with product analytics and user feedback mechanisms.

Education

• Relevant degree in design, human-computer interaction, or a related field is preferred but not mandatory.

Tools

• AI design tools (e.g., v0, Lovable, Galileo).
• Familiarity with design systems and component libraries (e.g., Storybook, Tailwind).