AI-Forward UX Designer

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (on behalf of a partner company)

Location: Spain

Job Type: Part-time

Category: UX/UI Design, AI Integration

Date Posted: 2026-05-06

Experience Level: Mid-Level to Senior (3-7+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Lead end-to-end UX design processes for diverse client projects, from discovery to final handoff, with a strong emphasis on AI integration.

• Leverage advanced generative AI tools and Figma AI features to significantly accelerate ideation, prototyping, and the creation of UI mockups and design assets.

• Conduct user research using AI-assisted methods to extract deep insights from qualitative and quantitative data, informing user-centered design decisions.

• Collaborate closely with product managers, engineers, and clients in a fast-paced, multi-client agency/consultancy environment to translate requirements into intuitive, scalable interfaces.

• Champion and contribute to the evolution of internal design methodologies, advocating for AI-first design practices and continuous learning within the organization.

📝 Enhancement Note: While the job title is "AI-Forward UX Designer," the core responsibilities and requirements align with a senior-level UX/UI professional with a specific, advanced proficiency in integrating AI tools into their design workflow. The "Part-time" nature suggests a focus on project-based contributions or a flexible engagement model. The role is situated within a consulting or agency-like structure, indicated by "multi-client setup" and "agency, consultancy, or multi-client environments."

📈 Primary Responsibilities

• Spearhead the complete UX design lifecycle for multiple client engagements, encompassing user discovery, in-depth user research, wireframing, interactive prototyping, and seamless design handoff to development teams.

• Expertly utilize AI-powered design platforms and specific Figma AI capabilities (e.g., generative design, AI plugins) to rapidly generate and iterate on UI mockups, prototypes, and essential design assets, thereby enhancing design velocity.

• Design and implement comprehensive user research strategies, employing AI-assisted methodologies for efficient analysis of interview transcripts, survey responses, and behavioral data to derive actionable insights.

• Apply established design thinking and product thinking frameworks to meticulously define user problems, map complex user journeys, and validate proposed solutions through rigorous stakeholder engagement and feedback loops.

• Develop, maintain, and evolve scalable design systems, reusable UI components, and comprehensive documentation to ensure design consistency and efficiency across a portfolio of client projects.

• Foster strong, collaborative relationships with cross-functional teams, including product managers, software engineers, and direct clients, to effectively translate project requirements into exceptional user-centered experiences.

• Articulate design concepts, rationale, and the impact of AI-driven workflows, clearly demonstrating how these methods improve efficiency, output quality, and overall project success to stakeholders.

• Actively contribute to the continuous refinement of internal design processes and methodologies, serving as a vocal advocate and practitioner of AI-first design principles throughout the organization.

📝 Enhancement Note: The responsibilities emphasize leadership in UX design, advanced AI tool utilization, and strategic contribution to process evolution. The "multi-client" context suggests a need for strong project management and client-facing skills, alongside adaptability across various industries.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is typically preferred for roles of this nature. A strong portfolio can often substitute for formal educational requirements.

Experience: 3–7+ years of dedicated UX/UI design experience, with a substantial track record of designing successful digital products.

Required Skills:

• Demonstrable hands-on experience integrating AI tools into daily design workflows, including but not limited to prototyping, research analysis, content generation, or UI element creation.

• Advanced proficiency in Figma, with a deep understanding and practical application of its AI-enabled plugins and emergent AI design acceleration features.

• Solid grasp of foundational design methodologies such as Design Thinking, Product Thinking, and Human-Centered Design principles, with the ability to apply them strategically.

• Proven experience working within agency, consultancy, or dynamic multi-client environments, showcasing adaptability and the ability to pivot effectively across diverse industries and project scopes.

• Strong analytical capabilities to interpret both qualitative and quantitative user research data, translating findings into concrete, actionable design decisions and recommendations.

• Exceptional communication, storytelling, and presentation skills, with a track record of leading client-facing workshops, design reviews, and effectively articulating design rationale.

Preferred Skills:

• Experience with other AI-powered design tools or platforms beyond Figma.

• Familiarity with building and scaling design systems, including component libraries and style guides.

• Basic understanding of front-end development principles (HTML, CSS, JavaScript) to facilitate better collaboration with engineers.

• Experience in user journey mapping, persona development, and information architecture.

• Familiarity with A/B testing and other user validation techniques.

📝 Enhancement Note: The requirement for "3-7+ years" combined with "AI-Forward" and the emphasis on leading UX initiatives suggests this role is targeting experienced designers who are already adept at incorporating AI, rather than entry-level professionals being trained on AI. The preferred skills point towards a well-rounded UX professional who can contribute holistically.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a minimum of 3-5 distinct UX/UI design projects, with a clear emphasis on projects where AI tools were integral to the design process or outcomes.

• Detailed case studies that articulate the problem, your role, the design process (especially AI integration), key decisions, and measurable results or impact.

• Visual demonstrations of wireframes, user flows, interactive prototypes, and high-fidelity UI designs, highlighting your design aesthetic and technical execution.

• Evidence of user research methodologies employed and how insights were translated into design solutions.

Process Documentation:

• For each project, clearly outline the specific AI tools and techniques used, and explain their contribution to the design workflow and final deliverables.

• Demonstrate how you applied design thinking and product thinking frameworks in a structured manner, especially in AI-assisted workflows.

• Showcase your ability to document design decisions, user flows, and system components for cross-functional teams and client understanding.

• Provide examples of how you have validated designs through user testing or stakeholder feedback, particularly when leveraging AI-generated concepts.

📝 Enhancement Note: The portfolio is critical for this role, specifically needing to highlight the applicant's proficiency and innovation in using AI within their UX/UI design process. The emphasis is on demonstrating practical application and measurable impact, not just theoretical knowledge.

💵 Compensation & Benefits

Salary Range: As this is a part-time role in Spain, and compensation is not specified, a competitive hourly rate or project-based fee would be expected. Based on 3-7+ years of experience and specialized AI skills in a high-demand UX field, an estimated range in Spain could be €30 - €60 per hour, or an equivalent project fee. This estimation considers the cost of living in Spain, the specialized nature of AI integration in UX, and the part-time but senior-level nature of the role.

Benefits:

• Competitive compensation package (hourly rate or project-based fee).

• Fully remote-first environment, offering significant work-life balance and flexibility.

• Flexible working hours, allowing for adaptation to personal schedules and project demands.

• Access to cutting-edge AI tools and design technologies, enabling continuous skill development and innovation.

• Opportunity to work on diverse, high-impact client projects across various industries, broadening professional experience.

• Collaborative team culture comprising experienced designers, AI specialists, and engineers, fostering knowledge sharing and peer learning.

• Professional development budget allocated for training, courses, certifications, and industry conferences, supporting career growth.

• The unique opportunity to influence and shape the future trajectory of AI-driven UX design practices within a forward-thinking organization.

Working Hours: Specified as part-time with flexible working hours. This implies that the workload will be project-dependent and can be managed around other commitments, with an expectation of approximately 20-25 hours per week on average, based on typical part-time definitions, though this can vary based on project scope and urgency.

📝 Enhancement Note: The salary estimate is based on general market rates for experienced UX/UI designers in Spain and factors in the premium for AI specialization and the part-time nature of the role. Specific rates will depend on the partner company, project complexity, and the candidate's exact experience and skill set.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Design Services, AI Integration, Consulting. The company operates within the rapidly evolving space where design meets artificial intelligence, serving various client industries through its partner network. This implies a fast-paced, innovative, and client-focused operational environment.

Company Size: Not explicitly stated, but the mention of "multiple client projects" and a "partner company" structure suggests a lean, agile organization, likely a consultancy or specialized agency. The "Jobgether" platform itself acts as a facilitator, connecting talent with companies.

Founded: Jobgether was founded around 2023/2024, indicating a modern, tech-forward approach to talent acquisition and employment. The partner company's founding date is not specified but is implied to be established enough to undertake significant client projects.

Team Structure:

• The UX Designer will likely be part of a project-specific team, composed of other designers, product managers, AI specialists, and engineers.

• Reporting structure will vary per project but will generally involve a Project Lead or a senior member of the partner company's design or product team.

Methodology:

• Emphasis on an AI-powered matching process for candidate selection, indicating a data-driven and technology-enabled approach.

• The partner company likely employs agile methodologies for project management, with a focus on iterative design and development cycles.

• A strong commitment to continuous learning and experimentation, particularly in adopting and integrating new AI technologies into design workflows.

Company Website: https://jobgether.com/ (for Jobgether platform) and the partner company's website (details not provided).

📝 Enhancement Note: The context is a hybrid model: Jobgether facilitates the hiring process using AI, and a separate partner company (likely a design or tech consultancy) will be the direct employer or client. The culture is expected to be innovative, adaptable, and deeply integrated with AI technologies.

📈 Career & Growth Analysis

Operations Career Level: This role represents a mid-to-senior level position within the UX/UI design field, specifically for individuals who are pioneering the integration of AI into design. It offers the chance to become a subject matter expert in "AI-Forward UX Design."

Reporting Structure: As a part-time, project-based role, the designer will likely report to a Project Manager or a Lead Designer within the partner company for specific client engagements. Within Jobgether's framework, the AI matching process is automated, but direct interaction for project onboarding would be with the employing entity.

Operations Impact: The role has a direct impact on the success of client projects by improving user experience through innovative, AI-enhanced design solutions. This leads to better product adoption, user satisfaction, and ultimately, client success and revenue generation for the partner company. The designer will also impact internal operations by shaping and improving design methodologies.

Growth Opportunities:

• Specialization: Deepen expertise in AI-driven design tools and methodologies, becoming a go-to specialist in this niche field.

• Leadership: Progress to leading UX initiatives on larger or more complex client projects, potentially mentoring junior designers in AI integration.

• Skill Development: Access to a professional development budget for advanced courses, certifications in AI and design, and attendance at leading industry conferences.

• Broader Impact: Contribute to the strategic direction of AI integration within the partner company's design practice and influence the development of new service offerings.

📝 Enhancement Note: The role is positioned as a growth opportunity for experienced designers looking to specialize in a cutting-edge field. The career path involves increasing project complexity, leadership potential, and becoming an expert in AI-augmented design.

🌐 Work Environment

Office Type: The role is advertised as "Fully Remote-first," meaning there is no required physical office location for the employee. All work is conducted remotely.

Office Location(s): While the job is posted for Spain, the remote nature means employees can work from any location within Spain. The partner company might have a physical headquarters, but this is not a requirement for the role.

Workspace Context:

• A fully remote setup requires self-discipline and excellent time management skills.

• Access to necessary hardware and a stable internet connection is assumed.

• Collaboration will primarily occur through digital tools like video conferencing, chat platforms, and collaborative design software (Figma).

• The environment is expected to be dynamic, with different client projects potentially offering varied work contexts and challenges.

Work Schedule: Part-time with flexible working hours. This allows for significant autonomy in scheduling work, provided project deadlines and collaborative meeting times are met. It is ideal for individuals seeking to balance work with other commitments.

📝 Enhancement Note: The remote-first and flexible nature of the role is a key attraction, emphasizing autonomy and work-life integration. Candidates must be comfortable and proficient in a fully digital, remote collaborative environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial AI Screening: Jobgether's AI will likely conduct an initial assessment of applications against core requirements and keywords.

• Portfolio Review: A shortlisted candidate's portfolio will be thoroughly reviewed by the partner company's hiring team, focusing on AI integration and design quality.

• Hiring Manager/Team Interview: Expect one or more interviews with the hiring manager and potentially other team members. These interviews will delve into your experience, design process, AI tool proficiency, and cultural fit.

• Design Challenge/Case Study: A practical design challenge or a detailed presentation of a portfolio case study might be required to assess your problem-solving skills, design approach, and ability to articulate your work, especially concerning AI use.

• Final Interview: Potentially a final discussion to confirm fit and discuss terms.

Portfolio Review Tips:

• Highlight AI Integration: Clearly articulate how and why you used specific AI tools in your projects. Quantify the benefits if possible (e.g., "reduced ideation time by 30%").

• Showcase Problem-Solving: Structure case studies to clearly define the user problem, your design process (including AI's role), and the impact of your solution.

• Visual Clarity: Ensure your portfolio is visually appealing, easy to navigate, and showcases high-quality design work. Use clear mockups and interactive prototypes.

• Demonstrate Adaptability: Include projects from diverse industries if possible, showcasing your ability to adapt your AI-enhanced design approach to different contexts.

• Tell a Story: Frame your projects as narratives that highlight your strategic thinking and impact.

Challenge Preparation:

• AI Tool Familiarity: Be prepared to discuss your experience with specific AI design tools and potentially demonstrate their use in a simulated scenario.

• Design Thinking Application: Practice applying design thinking principles to hypothetical problems, explaining how AI could accelerate or enhance each stage.

• Communication Practice: Rehearse presenting your portfolio and design concepts concisely and persuasively, focusing on the value AI brings to your solutions.

📝 Enhancement Note: The application process emphasizes both technical capabilities (AI tools, Figma) and strategic thinking (design process, problem-solving). The portfolio is the primary gatekeeper, demanding clear evidence of AI integration and its impact.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for wireframing, prototyping, UI design, and collaboration. Proficiency with its AI-enabled plugins and features is critical.

• Generative AI Design Platforms: Experience with tools for generating UI elements, mockups, or design concepts (e.g., Midjourney for ideation, potentially specialized AI design tools).

• Prototyping Tools: Beyond Figma, familiarity with tools like InVision, Adobe XD, or Principle for creating interactive prototypes.

Analytics & Reporting:

• User Research Tools: Platforms for conducting surveys, interviews, and usability testing (e.g., UserTesting.com, SurveyMonkey, Google Forms). AI-assisted analysis tools for extracting insights from qualitative data.

• Analytics Platforms (Basic Understanding): Familiarity with how user behavior data is tracked and analyzed (e.g., Google Analytics, Hotjar) to inform design decisions.

CRM & Automation:

• Project Management Software: Tools for managing tasks, timelines, and team collaboration (e.g., Asana, Trello, Jira).

• Communication Platforms: Slack, Microsoft Teams for daily team interaction and project communication.

• Cloud Storage & Collaboration: Google Drive, Dropbox for file sharing and document collaboration.

📝 Enhancement Note: The technology stack heavily favors design and AI tools, with a particular emphasis on Figma and generative AI. A foundational understanding of analytics and project management tools is also expected for effective collaboration in a remote, client-facing environment.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A core value centered around exploring and adopting new technologies, particularly AI, to push the boundaries of design.

• User-Centricity: A commitment to understanding and addressing user needs through rigorous research and thoughtful design, enhanced by AI insights.

• Collaboration & Transparency: Encouraging open communication and knowledge sharing among team members and with clients, fostering a supportive and productive environment.

• Efficiency & Impact: Valuing processes and tools that drive efficiency and deliver measurable impact on client projects and business outcomes.

• Continuous Learning: A culture that supports and encourages ongoing professional development, especially in rapidly evolving fields like AI and UX design.

Collaboration Style:

• Cross-functional Integration: Expect close collaboration with product managers, engineers, and AI specialists, requiring clear communication and mutual understanding of roles and objectives.

• Remote Collaboration Proficiency: Strong reliance on digital tools and asynchronous communication methods, balanced with scheduled synchronous meetings for key discussions and decision-making.

• Feedback Culture: An environment where constructive feedback is regularly exchanged to improve designs, processes, and team dynamics.

• Client-Facing Partnership: A collaborative approach with clients, involving them in the design process through workshops, reviews, and clear communication of progress and rationale.

📝 Enhancement Note: The culture is likely to be modern, dynamic, and forward-thinking, driven by innovation in AI and a strong collaborative spirit required for remote, project-based work.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in AI tools and techniques for design can be challenging, requiring continuous learning.

• Balancing AI Efficiency with Human Creativity: Effectively integrating AI to enhance, rather than replace, human creativity and critical thinking in the design process.

• Client Education on AI in Design: Potentially needing to educate clients on the benefits and applications of AI-driven design approaches.

• Managing Multiple Client Projects: Juggling diverse project requirements, timelines, and stakeholder expectations in a part-time capacity.

• Remote Collaboration Dynamics: Maintaining strong team cohesion and effective communication in a fully remote setting.

Learning & Development Opportunities:

• AI Design Specialization: Becoming a recognized expert in applying AI to UX/UI design, with opportunities to lead workshops or develop best practices.

• Exposure to Diverse Projects: Gaining experience across a wide range of industries and product types, broadening your design portfolio and problem-solving skills.

• Mentorship: Potential to learn from senior designers and AI specialists within the partner company's network.

• Industry Trends: Staying at the forefront of AI and design innovation through project work and provided development resources.

📝 Enhancement Note: The challenges are inherent to working with cutting-edge technology and in a fast-paced, client-oriented environment. The growth opportunities are significant for those who embrace these challenges and focus on specialization.

💡 Interview Preparation

Strategy Questions:

• "Describe a project where you used AI tools to significantly accelerate your UX design process. What tools did you use, and what was the measurable impact?" (Focus on specific AI tools, process improvements, and quantifiable results.)

• "How do you balance the efficiency of AI-generated design elements with the need for human creativity and strategic problem-solving?" (Prepare to discuss your philosophy and practical approaches to augmenting, not just automating, design.)

Company & Culture Questions:

• "What excites you most about an 'AI-Forward' approach to UX design, and how do you see it shaping the future of user experiences?" (Demonstrate your passion and forward-thinking perspective.)

• "How do you approach collaboration with engineers and product managers, especially in a remote, multi-client environment?" (Highlight your communication skills and ability to work effectively in cross-functional teams.)

Portfolio Presentation Strategy:

• Curate Ruthlessly: Select 2-3 of your strongest projects that best showcase your AI integration skills and design impact.

• Structure Your Narrative: For each project, use a clear storytelling framework: Problem -> Your Role -> Process (emphasizing AI) -> Solution -> Impact/Results.

• Quantify Where Possible: Use metrics to demonstrate the success of your designs and the efficiency gains from AI.

• Be Ready for Deep Dives: Anticipate questions about your design decisions, the specific AI tools used, and alternative approaches you considered.

• Showcase Figma & AI Tools: Prepare to demonstrate specific features or workflows within Figma or other AI tools you used, if requested.

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating practical, hands-on experience with AI in design, supported by a well-curated portfolio and clear communication of process and impact.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

• Submit your application through the Jobgether platform, ensuring your profile and any attached documents are up-to-date.

• Tailor your Resume/CV: Highlight keywords from the job description, especially "AI," "Generative AI," "Figma AI," "UX Design," "User Research," "Prototyping," and "Client Projects." Quantify your achievements and experience with AI tools.

• Prepare Your Portfolio: Ensure your portfolio is easily accessible (link provided) and clearly showcases projects where you've integrated AI into your UX/UI design workflow. Make sure case studies are detailed and highlight your problem-solving approach and impact.

• Practice Your Pitch: Be ready to articulate your experience with AI design tools, your design thinking process, and your contributions to previous projects during potential interviews. Practice presenting your portfolio with a focus on AI integration and measurable results.

• Research Jobgether and AI Design Trends: Familiarize yourself with Jobgether's AI-powered matching process and research current trends in AI-driven UX design to better align your responses with the company's vision.

⚠️ 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.