UX Designer & AI Expert

📍 Job Overview

Job Title: UX Designer & AI Expert

Company: Nacar Careers

Location: Barcelona, Catalonia, Spain

Job Type: FULL_TIME

Category: UX/Product Design, AI Experience Design

Date Posted: 2026-08-05

Experience Level: 5-10 years

Remote Status: Hybrid

🚀 Role Summary

• Design cutting-edge AI-powered user experiences for SaaS platforms, focusing on intuitive interfaces and seamless integration of AI capabilities like copilots, intelligent assistants, and predictive features.

• Define and implement sophisticated interaction patterns that effectively bridge human control with AI-generated recommendations and automated actions, fostering user trust through transparency and explainability.

• Leverage AI tools and AI-driven workflows across the entire design lifecycle—from discovery and ideation to prototyping, content creation, and validation—to accelerate innovation and enhance design quality.

• Drive the evolution of design systems to incorporate emerging AI interaction patterns, establishing reusable AI experience patterns, comprehensive guidelines, and best practices for AI-native product design.

📝 Enhancement Note: This role sits at the intersection of UX Design and Artificial Intelligence, focusing on the practical application of AI within SaaS products. The emphasis is on designing user-centric experiences that leverage AI to enhance functionality, efficiency, and user value, rather than on the development of AI models themselves. The ideal candidate will be a skilled UX professional with a deep understanding of AI capabilities and a proven ability to translate complex AI concepts into intuitive user interfaces.

📈 Primary Responsibilities

• Architect and design AI-powered user experiences for SaaS platforms, specifically focusing on features such as copilots, agents, intelligent assistants, workflow automation, conversational interfaces, and predictive functionalities.

• Develop robust interaction patterns that adeptly balance user autonomy with AI-driven suggestions and automated actions, ensuring a clear and trustworthy user journey.

• Craft intuitive user interfaces that prioritize transparency, explainability, and appropriate feedback mechanisms to build and maintain user confidence in AI-assisted processes.

• Conduct comprehensive user research to uncover user needs, identify design opportunities, and iteratively improve AI-driven user experience solutions within SaaS environments.

• Produce detailed design specifications and comprehensive documentation to facilitate efficient and accurate implementation by engineering teams, ensuring fidelity between design intent and final product.

• Create scalable design assets and component definitions, along with interaction patterns, that streamline the handoff process to development teams and ensure consistency across the product.

• Actively utilize AI tools throughout the design process to accelerate discovery, ideation, prototyping, content generation, and validation phases, thereby increasing overall design velocity.

• Implement AI-driven workflows to boost design efficiency while rigorously maintaining high standards of user experience quality and user satisfaction.

• Employ AI technologies to generate and refine wireframes, user flows, conceptual designs, UX copy, and detailed specifications, enabling rapid iteration and exploration.

• Continuously research, evaluate, and adopt new AI tools, methodologies, and frameworks that demonstrably improve team productivity and enhance design outcomes.

• Extend and evolve existing design systems to effectively support emergent AI interaction patterns, defining reusable AI experience patterns, guidelines, and best practices for AI-native design.

• Contribute to the establishment of organizational standards for AI-native product design, advocating for responsible, ethical, and user-centered AI development and deployment.

• Foster close collaboration with Product Management, Engineering, Data Science, and Research teams to deliver industry-leading experiences that seamlessly integrate advanced AI into complex enterprise workflows.

📝 Enhancement Note: The responsibilities highlight a proactive approach to integrating AI into the design process itself, not just the end product. This includes using AI for content generation, ideation, and workflow acceleration. The emphasis on design systems and organizational standards suggests a strategic role in shaping how the company approaches AI design moving forward.

🎓 Skills & Qualifications

Education: Bachelor's degree in Human-Computer Interaction, Design, Computer Science, or a related field, or equivalent practical experience.

Experience: 5+ years of professional experience in UX Design, Product Design, Interaction Design, or a closely related discipline, with a significant focus on AI-powered products.

Required Skills:

• Minimum of 5 years of experience in UX Design, Product Design, Interaction Design, or equivalent fields.

• Demonstrated experience designing and shipping AI-powered products, particularly for enterprise or SaaS platforms.

• A strong, comprehensive portfolio showcasing a history of designing AI-driven user experiences and complex workflow designs.

• Deep understanding of AI interaction patterns, including but not limited to conversational UX, copilots, intelligent recommendations, and advanced automation workflows.

• Proven experience effectively incorporating AI tools into daily design workflows to measurably improve speed, quality, and overall efficiency.

• Proficiency in creating high-fidelity prototypes, detailed workflows, user flows, wireframes, and production-ready design specifications using industry-standard tools.

• A keen passion for emerging technologies, coupled with a proactive mindset for continuous experimentation with new AI capabilities and their application in design.

• Excellent communication and storytelling skills, with a proven ability to articulate design decisions and influence stakeholders effectively.

• Strong stakeholder management capabilities, including the ability to gather requirements, present designs, and manage feedback from diverse teams.

• Fluency in English, both written and spoken, for effective collaboration in a global team environment. Preferred Skills:

• Experience with AI-powered tools specifically designed for design acceleration (e.g., generative design tools, AI writing assistants for UX copy).

• Familiarity with data science concepts and their implications for user experience design in AI-driven products.

• Experience with design systems and their extension to accommodate AI-specific components and interaction patterns.

• Knowledge of ethical AI principles and best practices for responsible AI design.

• Experience working in an agile development environment with cross-functional teams.

📝 Enhancement Note: The requirement for 5+ years of experience and a strong portfolio specifically demonstrating AI-driven experiences indicates a mid to senior-level role. The emphasis on Figma and AI-powered tools suggests a need for hands-on proficiency with modern design software and a willingness to embrace new technologies.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 significant projects demonstrating your expertise in designing AI-powered user experiences for SaaS or enterprise platforms.

• For each project, clearly articulate the problem statement, your specific role and contributions, the design process undertaken, and the AI technologies leveraged.

• Highlight your ability to define and implement complex interaction patterns that balance human control with AI automation, providing clear examples of your solutions.

• Include detailed case studies that illustrate your user research methodologies, how you synthesized findings, and how these insights informed your AI-driven design decisions.

• Demonstrate your proficiency in creating high-fidelity prototypes and detailed design specifications, ideally showing how AI tools were used in their creation or iteration.

• Quantify the impact of your designs where possible, using metrics related to user engagement, efficiency gains, adoption rates, or user satisfaction with AI features. Process Documentation:

• Provide examples of how you document design processes for AI features, ensuring clarity and comprehensibility for engineering, product, and data science teams.

• Illustrate your approach to evolving design systems to include AI-specific components, patterns, and guidelines, demonstrating your understanding of scalability and reusability.

• Showcase documentation that explains the rationale behind AI interaction choices, focusing on transparency, explainability, and ethical considerations.

• Include examples of how you use AI tools to generate or refine design documentation, highlighting efficiency improvements or enhanced detail.

📝 Enhancement Note: The portfolio requirements are highly specific to AI-driven UX, emphasizing not just the final design but the process, the use of AI tools in design, and the documentation of AI interaction patterns. This suggests the company is looking for a candidate who can set new standards in AI-native product design.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for experienced UX Designers with AI specialization in Barcelona, Spain, a competitive salary range is estimated between €55,000 - €75,000 annually. This range accounts for the required 5-10 years of experience, specialized AI design skills, and the high cost of living in Barcelona for specialized tech roles.

Benefits:

• Permanent contract, offering long-term job security.

• Competitive salary package reflecting expertise and experience.

• Hybrid working model, allowing for a blend of remote work and in-studio collaboration.

• Access to a beautiful studio space equipped with free coffee and an enjoyable garden area.

• Participation in a dynamic, multi-national community with regular team-building activities.

• Comprehensive Nacar Academy training program, featuring personalized career path development.

• Generous 26 paid vacation days per year for work-life balance.

• Monthly allowance to cover internet costs for remote work.

• A budget allocated for working-from-home materials to ensure a comfortable and productive remote setup.

• Health Insurance coverage for employee well-being.

• Flexible working hours to accommodate personal schedules and optimize productivity.

• Complimentary tickets for the Palo Alto Market, offering a unique employee perk.

Working Hours: The standard work week is approximately 40 hours. The company offers flexible working hours, allowing employees to adjust their start and end times within reason, provided core collaboration hours are met and responsibilities are fulfilled efficiently. This flexibility supports work-life integration and personal productivity.

📝 Enhancement Note: The salary estimate is based on current market data for experienced UX Designers in Barcelona, with a premium for AI expertise. The benefits package is comprehensive, emphasizing flexibility, professional development, and employee well-being, which are attractive to experienced professionals in the tech and design fields.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Creative Services / Design Consulting. Nacar operates at the forefront of design and technology, partnering with organizations to create innovative products, services, and experiences. Their focus on "solution-first" and "connecting craft with systems" positions them as a strategic partner for businesses aiming for measurable value and scalable solutions.

Company Size: 130+ employees. This size suggests a dynamic and collaborative environment where individual contributions are visible and impactful. It allows for specialized teams while maintaining a sense of community and agility.

Founded: Nacar has been operating for twenty years, indicating a stable and experienced organization with a proven track record. This longevity suggests deep industry knowledge, established client relationships, and a robust understanding of market evolution.

Team Structure:

• The operations team, including this UX Designer role, likely comprises specialists from various disciplines—strategy, research, industrial design, digital design, brand, service design, and engineering.

• Reporting structure is likely to be flat or matrixed, encouraging cross-functional collaboration rather than rigid hierarchies. This role will report into a Design Lead or Head of Product Design.

• Cross-functional collaboration is a cornerstone of Nacar's methodology, with close partnerships expected between UX Designers, Product Managers, Engineers, and Data Scientists. Methodology:

• Data analysis and insights are central to Nacar's approach, ensuring that creative solutions are grounded in user needs and business objectives.

• Workflow planning and optimization strategies are employed to ensure efficiency and scalability, particularly important when integrating advanced technologies like AI.

• Automation and efficiency practices are actively encouraged, especially through the use of AI tools, to accelerate delivery and enhance the quality of output.

Company Website: https://nacardesign.com/

📝 Enhancement Note: Nacar's description emphasizes a blend of creativity and rigorous execution ("craft with systems," "real solutions"). The company culture values "Criteria, Adaptability, and Ownership," suggesting a proactive, results-oriented, and collaborative environment. The Barcelona studio is a key hub for their global operations.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior UX Designer with specialized expertise in AI. It signifies a professional who not only excels in core UX principles but also possesses advanced knowledge and practical application skills in designing AI-powered experiences. The role involves leading design efforts for complex features, mentoring junior designers, and influencing product strategy.

Reporting Structure: The UX Designer & AI Expert will likely report to a Design Director or Head of Design within the Barcelona studio, with potential dotted-line reporting or close collaboration with Product Management and Engineering leads for specific projects.

Operations Impact: This role has a direct impact on the success of AI-powered SaaS products by ensuring they are user-friendly, effective, and trustworthy. By designing intuitive AI integrations, the UX Designer will drive user adoption, satisfaction, and ultimately, the measurable value generated for Nacar's clients. Influence extends to shaping Nacar's overall strategy for AI-native product design.

Growth Opportunities:

• Specialization Advancement: Deepen expertise in AI-driven design by leading more complex AI projects, exploring new AI interaction paradigms, and potentially contributing to research in emerging AI technologies.

• Leadership Development: Progress into a Lead UX Designer or Design Manager role, taking on greater responsibility for team mentorship, project strategy, and client-facing engagements.

• Cross-Disciplinary Learning: Expand knowledge into adjacent areas such as AI ethics, data science principles, or product strategy through Nacar Academy and project collaboration, fostering a more holistic understanding of product development.

📝 Enhancement Note: The growth opportunities are framed around deepening AI expertise, moving into leadership, and broadening skill sets across product development, aligning with Nacar's emphasis on continuous learning and career development.

🌐 Work Environment

Office Type: The Barcelona studio is described as "beautiful" and offers a hybrid work model. This implies a modern, well-equipped workspace designed to facilitate both focused work and collaborative sessions. It likely includes amenities that support employee comfort and well-being.

Office Location(s): Barcelona, Catalonia, Spain. This vibrant city offers a rich cultural experience and a growing tech and design scene, making it an attractive location for professionals. Specific details on accessibility or proximity to public transport would typically be provided during the interview process.

Workspace Context:

• The workspace is designed to foster collaboration, with opportunities for in-person interaction with colleagues from diverse nationalities and disciplines.

• Access to necessary operations tools and technology, including Figma and various AI-powered design tools, will be readily available to support efficient workflow.

• The environment encourages interaction and knowledge sharing among operations teams, promoting a culture of continuous learning and collective problem-solving.

Work Schedule: The company offers flexible working hours, allowing employees to manage their schedules to optimize productivity and work-life balance. This flexibility is designed to accommodate individual work styles while ensuring team collaboration and project deadlines are met.

📝 Enhancement Note: The hybrid model and flexible hours are key features of the work environment, emphasizing a modern approach to work that prioritizes employee autonomy and well-being while maintaining operational effectiveness.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, cultural fit, and interest in the role.

• Portfolio Review & Technical Interview: A deep dive into your portfolio, focusing on AI-driven UX projects. This will include discussions about your design process, problem-solving approach, and how you've leveraged AI tools. Expect technical questions related to AI interaction patterns and UX best practices.

• Case Study Presentation: You may be asked to present a specific project from your portfolio or work through a design challenge related to AI-powered SaaS experiences. This assesses your ability to articulate design decisions, handle critiques, and demonstrate strategic thinking.

• Team/Stakeholder Interviews: Meetings with potential team members, including other designers, product managers, and engineers. This stage evaluates collaboration style, communication skills, and cultural alignment with Nacar's values.

• Final Interview: A discussion with senior leadership to finalize the decision, often focusing on career aspirations and long-term fit.

Portfolio Review Tips:

• Curate your portfolio to prominently feature 2-3 of your strongest AI-driven UX projects. Clearly explain the problem, your role, the AI technologies involved, and the outcomes.

• For each case study, detail your design process: user research, ideation, prototyping, testing, and iteration. Emphasize how AI tools were integrated into this process.

• Quantify your impact with metrics where possible (e.g., improved user task completion times, increased feature adoption, user satisfaction scores).

• Be prepared to discuss your understanding of AI ethics and responsible design principles, especially as they apply to user experience.

• Practice presenting your work concisely and engagingly, anticipating questions about your design choices and problem-solving strategies. Challenge Preparation:

• Familiarize yourself with common AI interaction patterns (e.g., conversational UI, predictive interfaces, AI copilots).

• Understand how AI can be integrated into enterprise workflows to drive efficiency and user value.

• Prepare to discuss how you would approach designing for AI transparency and explainability.

• Practice articulating complex technical concepts in simple, user-centric terms.

📝 Enhancement Note: The interview process is designed to thoroughly assess both technical UX skills and specialized AI design expertise. The portfolio is critical, and candidates should be prepared to demonstrate their ability to apply AI within a user-centered design framework.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, prototyping, and collaboration. Proficiency in creating design systems and component libraries within Figma is expected.

• AI-Powered Design Tools: Experience with tools that leverage AI for tasks such as generative design, AI-assisted content creation (e.g., UX copy generation), automated wireframing, or predictive analytics for user behavior. Examples might include tools like Uizard, Galileo AI, or AI features within existing design software.

• Prototyping Tools: Beyond Figma, familiarity with other advanced prototyping tools for complex interactions and simulations may be beneficial.

Analytics & Reporting:

• User Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude, or similar platforms to track user behavior, feature adoption, and AI feature performance.

• A/B Testing Tools: Familiarity with platforms for conducting experiments to optimize AI interactions and user flows.

• Data Visualization Tools: Ability to interpret data visualizations and potentially create basic dashboards to communicate insights on AI feature performance.

CRM & Automation:

• CRM Systems: While not a direct CRM role, understanding how AI-powered UX impacts CRM data and workflows is advantageous. Familiarity with common CRMs (e.g., Salesforce, HubSpot) can provide context.

• Workflow Automation Tools: Understanding of how AI features contribute to broader workflow automation within enterprise software.

• Collaboration & Project Management Tools: Proficiency in tools like Jira, Asana, Trello, or Slack for team communication and project tracking.

📝 Enhancement Note: The technology stack emphasizes modern design tools, a strong focus on AI-specific design software, and the ability to leverage data analytics to inform and measure the impact of AI-driven UX.

👥 Team Culture & Values

Operations Values:

• Criteria, Adaptability, and Ownership: These are the core tenets of a Nacarian. Candidates are expected to apply rigorous criteria to their work, be adaptable to evolving project needs and technologies, and take ownership of their contributions and outcomes.

• Solution-First Approach: A commitment to developing practical, effective solutions that deliver tangible value to clients, rather than focusing solely on creative aesthetics.

• Connection of Craft with Systems: An understanding that great design requires both high-quality execution (craft) and a strategic, scalable implementation (systems).

• Data-Driven Decision Making: A reliance on user research, analytics, and performance data to inform design choices and measure impact.

• Collaboration and Communication: An emphasis on open, honest communication and strong teamwork across diverse disciplines and nationalities.

Collaboration Style:

• Cross-functional Integration: Nacarians work closely with individuals from Strategy, Research, Engineering, and Product Management to ensure a cohesive and effective product development process.

• Iterative Feedback Culture: An environment where constructive feedback is regularly exchanged, fostering continuous improvement and shared learning.

• Knowledge Sharing: A culture that encourages sharing insights, best practices, and learnings across teams, particularly regarding new technologies like AI.

📝 Enhancement Note: The company values are deeply embedded in their operational philosophy, focusing on a blend of creative excellence, practical application, and a collaborative, results-oriented approach, especially relevant for a role involving cutting-edge AI technology.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Explainability and Trust: A primary challenge will be creating AI experiences that users can understand, trust, and effectively control, especially in complex enterprise environments.

• Rapidly Evolving AI Landscape: Staying abreast of the fast-paced advancements in AI technology and continuously evaluating how new capabilities can be ethically and effectively integrated into product design.

• Balancing Innovation with User Needs: Ensuring that the adoption of AI features enhances, rather than complicates, the user experience, and that designs are grounded in genuine user needs and business objectives.

• Cross-Functional Alignment: Effectively communicating complex AI design concepts and rationale to diverse stakeholders (engineering, product, data science) to ensure alignment and successful implementation.

Learning & Development Opportunities:

• AI Design Specialization: Opportunities to become a recognized expert in AI-native product design through challenging projects and continuous learning within Nacar's R&D initiatives.

• Industry Conferences and Certifications: Support for attending relevant industry events and pursuing certifications related to AI, UX, and product design.

• Mentorship and Leadership: Access to mentorship from senior design leaders and opportunities to mentor junior designers, fostering leadership skills and career progression.

📝 Enhancement Note: The challenges are inherent to pioneering work in AI design, requiring adaptability and a strong problem-solving mindset. The growth opportunities are designed to support deep specialization and leadership within this emerging field.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI-powered user experience you've designed. What were the key challenges, and how did you address them through your design decisions?" (Prepare a case study focusing on AI interaction patterns, transparency, and user trust.)

• "How do you ensure that AI-driven features are truly valuable to users and align with business objectives? Walk us through your process for validating AI concepts." (Focus on user research, A/B testing, and metrics for AI features.)

• "Imagine we are building an AI assistant for our enterprise workflow. What are the first three critical design considerations you would explore, and why?" (Demonstrate strategic thinking about AI integration, user needs, and potential ethical implications.) Company & Culture Questions:

• "What excites you about Nacar's 'solution-first' and 'craft with systems' approach, particularly in the context of AI design?" (Connect Nacar's values to your own design philosophy and experience.)

• "How would you contribute to Nacar's culture of 'Criteria, Adaptability, and Ownership' as a UX Designer & AI Expert?" (Provide specific examples of how you embody these values in your work.)

• "How do you see AI transforming the future of SaaS products, and what role does UX play in that transformation?" (Showcase your forward-thinking perspective and understanding of the UX impact on AI adoption.) Portfolio Presentation Strategy:

• Structure your portfolio presentation around 2-3 key AI-driven UX projects. For each, clearly define the problem, your approach, the specific AI elements, and the measurable impact.

• Be prepared to discuss how you used AI tools in your design process (e.g., for ideation, content generation, prototyping) and the benefits derived.

• Use storytelling to engage the interviewers, highlighting your problem-solving skills, collaboration, and the rationale behind your design decisions.

• Be ready to answer detailed questions about your design process, technical choices, and your understanding of AI ethics in design.

📝 Enhancement Note: Preparation should focus on demonstrating a deep understanding of AI's role in UX, showcasing practical experience with AI-driven design, and aligning your approach with Nacar's core values and methodologies.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on the Nacar Careers portal.

• Tailor your resume: Highlight experience with AI-powered products, SaaS platforms, specific AI interaction patterns (copilots, conversational UX), and proficiency with Figma and AI design tools. Quantify achievements where possible.

• Curate your portfolio: Select 2-3 of your strongest AI-driven UX case studies. Ensure they clearly articulate the problem, your process, your AI expertise, and the impact of your design solutions. Be ready to present these effectively.

• Prepare for technical and behavioral questions: Review common UX and AI design interview questions, and be ready to discuss your approach to user research, design systems, ethical AI, and cross-functional collaboration.

• Research Nacar: Understand their mission, values (Criteria, Adaptability, Ownership), and their approach to design and technology. Be prepared to articulate why you are a good fit for their culture and this specific role.

⚠️ 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.