AI-Forward UX Designer

📍 Job Overview

Job Title: AI-Forward UX Designer

Company: Jobgether (on behalf of a partner company)

Location: Netherlands

Job Type: Part-time

Category: UX/UI Design, AI Integration, Digital Product Design

Date Posted: 2026-05-06T00:00:00

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

Remote Status: Fully Remote

🚀 Role Summary

• Lead end-to-end UX design processes for multiple client projects, from discovery and user research to wireframes, prototypes, and final design handoff.

• Leverage advanced generative AI tools within daily design workflows to accelerate ideation, prototyping, and user research analysis.

• Translate complex user needs and business requirements into intuitive, scalable, and user-centered digital product interfaces.

• Collaborate effectively with cross-functional teams (product managers, engineers, clients) to ensure successful design implementation and stakeholder alignment.

• Contribute to the evolution of internal design methodologies, championing AI-first design practices and fostering a culture of continuous learning and experimentation.

📝 Enhancement Note: This role is specifically for a designer who is not only proficient in traditional UX/UI but also actively integrates and champions AI tools within their design process. The "AI-Forward" aspect suggests a proactive approach to leveraging emerging technologies to enhance efficiency, creativity, and output quality in design deliverables for a variety of clients. The part-time nature indicates flexibility, potentially suitable for experienced professionals seeking to balance multiple commitments or focus on specific project contributions.

📈 Primary Responsibilities

• Orchestrate comprehensive UX design lifecycles for a portfolio of diverse client projects, ensuring alignment with user needs and business objectives.

• Utilize AI-powered design platforms and Figma AI features to rapidly generate UI mockups, interactive prototypes, and design assets, significantly reducing time-to-market.

• Employ AI-assisted methods for user research, including sentiment analysis of qualitative data and pattern identification in behavioral analytics, to derive actionable insights.

• Apply established design thinking and product thinking frameworks to clearly define user problems, map out customer journeys, and validate proposed solutions through rigorous testing.

• Develop, manage, and maintain robust, scalable design systems, comprehensive UI component libraries, and detailed documentation to ensure design consistency and brand integrity across all client engagements.

• Foster strong collaborative relationships with product managers, software engineers, and external clients, facilitating clear communication channels for translating complex requirements into effective user experiences.

• Present compelling design concepts, strategic rationale, and the tangible benefits of AI-driven workflows, demonstrating clear improvements in efficiency, quality, and user satisfaction.

• Actively participate in refining and documenting internal design processes and best practices, advocating for and integrating AI-first design methodologies across the broader organization.

📝 Enhancement Note: The responsibilities highlight a blend of strategic leadership in design, hands-on execution using advanced tools, and a consultative approach to client engagement. The emphasis on "scalable design systems" and "AI-first design practices" suggests a need for a designer who can think holistically about product development and contribute to long-term organizational efficiency.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for mid-senior level roles. Equivalent practical experience demonstrating mastery of UX/UI principles and AI tool integration will also be considered.

Experience: 3–7+ years of dedicated experience in User Experience (UX) and User Interface (UI) design, with a proven track record of delivering successful digital products.

Required Skills:

• A strong, comprehensive portfolio showcasing end-to-end UX/UI design projects and user-centered digital product design.

• Demonstrable, hands-on experience integrating AI tools (e.g., generative design, AI-assisted research, AI content generation) into daily design workflows and processes.

• Advanced proficiency in Figma, including familiarity with its AI-enabled plugins, features, and collaborative capabilities.

• Solid understanding of core design principles: design thinking, product thinking, and human-centered design methodologies.

• Experience working in dynamic agency, consultancy, or multi-client environments, showcasing adaptability across diverse industries and project types.

• Proven ability to analyze both qualitative and quantitative user research data, synthesizing findings into actionable design decisions and strategic recommendations.

• Exceptional communication, storytelling, and presentation skills, with experience leading client-facing workshops, design reviews, and project kick-offs.

Preferred Skills:

• Experience with other design and prototyping tools (e.g., Sketch, Adobe Creative Suite, InVision, Axure RP).

• Familiarity with front-end development concepts (HTML, CSS, JavaScript) to facilitate better collaboration with engineers.

• Experience in building and scaling design systems from scratch.

• Knowledge of user research methodologies beyond AI-assisted analysis, such as usability testing, A/B testing, and persona development.

• Experience managing design projects within Agile or Scrum development frameworks.

📝 Enhancement Note: The requirements emphasize practical application of AI in design, a critical differentiator for this role. The portfolio is key, and candidates should be prepared to specifically highlight projects where AI tools were instrumental. The 3-7+ year experience range suggests a need for a designer who can work autonomously and mentor others, even in a part-time capacity.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated collection of case studies that clearly articulate the design problem, the user needs, the AI-driven solutions implemented, and the resulting impact.

• Detailed examples of how AI tools were integrated into the design process, including specific use cases for ideation, prototyping, research synthesis, or asset generation.

• Demonstrations of wireframes, high-fidelity mockups, and interactive prototypes, showcasing the evolution from concept to final design.

• Evidence of user research findings and how they informed design decisions, with a specific focus on AI-assisted insights.

Process Documentation:

• Case studies should detail the specific design process followed for each project, highlighting the steps where AI tools were applied and the benefits derived.

• Documentation of how user research was conducted and synthesized, particularly noting the role of AI in data analysis and insight extraction.

• Examples of design handoff documentation provided to engineering teams, ensuring clarity and efficiency in implementation.

• Any personal documentation or frameworks developed for leveraging AI in design workflows.

📝 Enhancement Note: The portfolio is paramount for this role, especially given the "AI-Forward" designation. Candidates must be prepared to showcase tangible examples of AI integration, not just theoretical knowledge. The emphasis should be on how AI accelerated or enhanced the design process and outcomes, rather than just showing pretty final designs.

💵 Compensation & Benefits

Salary Range: As this is a part-time role in the Netherlands, and specific salary information is not provided, a competitive hourly rate or prorated annual salary would be expected. Based on industry benchmarks for mid-senior level UX Designers in the Netherlands with AI integration experience, a prorated annual salary could range from €50,000 to €75,000 (approximately €25-€38 per hour), depending on the partner company's specific structure, project scope, and the candidate's precise experience.

Benefits:

• Competitive compensation package (details to be confirmed by the partner company).

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

• Flexible working hours, allowing for asynchronous collaboration and personal scheduling.

• Access to cutting-edge AI tools and design technologies provided by the organization, ensuring you have the resources to excel.

• Opportunity to work on a diverse range of high-impact client projects across various industries, providing broad exposure and experience.

• A collaborative team culture that fosters innovation and knowledge sharing among designers, engineers, and AI specialists.

• Professional development budget allocated for training, courses, certifications, and conferences to support continuous learning and career growth.

• The unique opportunity to influence and shape the future of AI-driven UX design practices within client organizations and potentially Jobgether's methodologies.

Working Hours: Specified as Part-time. The exact number of hours per week will be determined by the partner company and project needs, but the "fully remote-first environment with flexible working hours" suggests a degree of autonomy in managing one's schedule.

📝 Enhancement Note: The salary estimate is based on general market data for UX Designers in the Netherlands and adjusted for the part-time nature and the specialized AI skill set. Actual compensation will depend heavily on the specific partner company and the agreed-upon hours/project scope. The benefits package, particularly the professional development budget and access to AI tools, is a significant draw for candidates looking to advance in this niche.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates within the technology and digital services sector, likely focusing on design, product development, and AI integration for a variety of clients. Jobgether itself is a platform leveraging AI for talent matching in the tech industry.

Company Size: Jobgether's size is not explicitly stated, but as a platform, it likely operates with a lean, tech-focused team. The partner company's size will vary.

Founded: Jobgether's founding date is not provided, but its focus on AI matching suggests a modern, forward-thinking approach. The partner company's founding date will influence its established processes and culture.

Team Structure:

• The role is part of a design team, likely structured under design leadership and collaborating closely with product management and engineering departments within the partner company.

• Professionals will report to a Design Lead or Project Manager, with direct interaction with client stakeholders.

Methodology:

• Data Analysis & Insights: Emphasis on leveraging AI and user data to drive design decisions and validate solutions.

• Workflow Planning & Optimization: Focus on agile methodologies, iterative design processes, and the optimization of workflows through AI integration.

• Automation & Efficiency: Proactive adoption of AI tools and technologies to enhance design productivity, speed up iteration cycles, and improve overall output quality.

Company Website: https://jobgether.com/ (for Jobgether platform information)

📝 Enhancement Note: The "AI-Forward" nature of the role implies a culture that values innovation, experimentation, and continuous learning. The multi-client setup means designers must be adaptable and comfortable working with different project scopes and client expectations.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior Level. It requires a designer with substantial practical experience (3-7+ years) who can lead design initiatives independently, manage client relationships, and contribute strategically to evolving design practices. The focus on AI integration signifies a specialization within the UX/UI field, offering a growth path toward becoming an expert in AI-driven design.

Reporting Structure: As a part-time remote role, the reporting structure will likely involve reporting to a Design Lead, Project Manager, or a dedicated client-side manager within the partner company. Direct collaboration with product managers and engineers is also a key aspect of the day-to-day workflow.

Operations Impact: The impact of this role is significant. By leading UX design for client projects and championing AI-first methodologies, the designer directly influences the usability, desirability, and success of digital products. Their work contributes to enhanced user satisfaction, improved conversion rates, increased operational efficiency for clients through better product design, and the overall advancement of AI integration within design processes.

Growth Opportunities:

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

• Leadership: With proven success, transition into senior design roles, team lead positions, or even advisory roles for AI integration in product development.

• Skill Diversification: Gain exposure to a wide array of industries and product types through diverse client projects, broadening your design acumen.

• Professional Development: Utilize the provided budget for advanced courses, certifications, or conferences focused on AI in design, UX strategy, or product management.

• Mentorship: Opportunity to mentor junior designers or share knowledge and best practices within the team, fostering personal growth.

📝 Enhancement Note: The growth opportunities are substantial for someone passionate about the intersection of AI and UX. The "AI-Forward" aspect positions this role at the cutting edge, offering a unique career trajectory distinct from traditional UX design roles.

🌐 Work Environment

Office Type: This is a fully remote-first position. There is no physical office requirement, offering maximum flexibility.

Office Location(s): While the role is based in the Netherlands, the remote nature means the physical location within the Netherlands is flexible. Collaboration will occur digitally.

Workspace Context:

• Collaborative Environment: While remote, the role emphasizes strong digital collaboration with designers, product managers, engineers, and clients. This will involve frequent use of communication tools (e.g., Slack, Teams) and video conferencing.

• Tools and Technology: Access to cutting-edge AI tools and design technologies is a key aspect, ensuring designers have the necessary software and platforms to perform their duties effectively. This includes advanced Figma capabilities and AI-specific design applications.

• Team Interaction: Regular virtual meetings, design critiques, and brainstorming sessions will facilitate interaction with the operations team and other stakeholders, fostering a connected remote work experience.

Work Schedule: Designated as Part-time with flexible working hours. This allows individuals to structure their work around personal commitments while ensuring project deadlines and client needs are met. The remote nature supports this flexibility.

📝 Enhancement Note: The remote-first and flexible hours are significant advantages for work-life balance. Candidates should be comfortable with asynchronous communication and proficient in digital collaboration tools.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely conducted by Jobgether's AI-powered matching system to assess core requirements, followed by a human review.

• Hiring Manager/Team Interview: A virtual interview with the partner company's hiring manager or design lead to discuss experience, technical skills, and cultural fit. This stage will likely delve into your AI integration experience.

• Portfolio Review & Design Challenge: A session dedicated to presenting your portfolio, specifically highlighting AI-driven projects. You may be asked to complete a relevant design challenge, potentially involving AI tools, to assess your problem-solving skills and design process.

• Final Interview: May involve meeting with additional stakeholders or leadership to confirm suitability and discuss role specifics.

Portfolio Review Tips:

• Highlight AI Integration: Dedicate specific sections or case studies to demonstrating how you've used AI tools (e.g., generative design, AI research analysis, AI prototyping) in your projects. Be precise about the tools used and the impact.

• Showcase Process, Not Just Polish: Clearly articulate your design process, emphasizing problem definition, user research (especially AI-assisted), ideation, iteration, and final solution. Explain the "why" behind your design choices.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs. For AI-driven projects, highlight improvements in efficiency, speed, user satisfaction, or conversion rates.

• Tailor to the Role: Emphasize projects that align with the "AI-Forward UX Designer" profile, showcasing adaptability across different client needs and industries.

• Prepare for Questions: Be ready to discuss your experience with Figma AI features, generative AI tools, and your perspective on the future of AI in UX design.

Challenge Preparation:

• Understand the AI Angle: If a design challenge is given, consider how AI tools could be leveraged to solve the problem more efficiently or creatively.

• Focus on Process: Even if the output is not perfect, demonstrating a strong, logical design process is crucial.

• Communicate Clearly: Practice articulating your thought process, design decisions, and the rationale behind your choices, especially when discussing AI integration.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's practical experience with AI in design. Candidates should prepare specific examples and be ready to articulate their vision for AI's role in UX. The portfolio is not just a showcase but a critical tool for demonstrating competency.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Advanced proficiency is required, including familiarity with its AI-enabled plugins and features for design, prototyping, and collaboration.

• Generative AI Design Platforms: Experience with tools that leverage AI for generating UI mockups, design assets, or content. Specific tools may vary but include platforms like Uizard, Galileo AI, or Figma's own AI features.

• Prototyping Tools: Proficiency in creating interactive prototypes (likely within Figma, but others like InVision, Axure RP could be relevant).

Analytics & Reporting:

• User Research Synthesis Tools: Tools that can assist in analyzing qualitative and quantitative user data, potentially including AI-powered sentiment analysis or pattern recognition software.

• Analytics Platforms: Familiarity with common web/app analytics tools (e.g., Google Analytics, Mixpanel, Amplitude) to understand user behavior and inform design decisions.

CRM & Automation:

• Collaboration & Communication Tools: Essential for remote work, including platforms like Slack, Microsoft Teams, Zoom, or Google Meet.

• Project Management Tools: Experience with tools like Jira, Asana, Trello, or Monday.com for managing project workflows and tasks.

📝 Enhancement Note: The emphasis on Figma and AI-specific design tools is paramount. Candidates should be prepared to discuss their experience with these tools and how they integrate them into their workflow.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong drive to explore and adopt new technologies, particularly AI, to push the boundaries of design.

• User-Centricity: A foundational commitment to understanding and solving user problems through thoughtful, human-centered design.

• Efficiency & Productivity: Valuing streamlined workflows and leveraging technology, including AI, to maximize output and deliver value quickly.

• Collaboration & Knowledge Sharing: An open environment where team members share insights, provide constructive feedback, and learn from each other's experiences, especially in the evolving AI design landscape.

• Adaptability & Continuous Learning: Embracing change, staying curious about emerging trends, and actively seeking opportunities to learn and grow.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration with product managers, engineers, and AI specialists, ensuring a unified approach to product development.

• Process Review Culture: Openness to discussing and refining design processes, incorporating feedback from all team members and stakeholders.

• Knowledge Sharing: Encouraging the sharing of best practices, AI tool discoveries, and design learnings through regular team meetings, internal documentation, or informal discussions.

📝 Enhancement Note: The culture is likely fast-paced, innovative, and highly collaborative, driven by the cutting edge of AI technology within the design field. Expect a team that is passionate about pushing boundaries and continuously improving.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the continuous advancements and new AI tools emerging in the design space requires ongoing learning and adaptation.

• Client Education & Buy-in: Educating clients on the benefits and applications of AI in UX design, and gaining their buy-in for AI-driven approaches, may require strong persuasive skills.

• Balancing AI Efficiency with Creative Integrity: Ensuring that the speed and automation offered by AI tools do not compromise the depth of user understanding or the creative integrity of the design.

• Integration Complexity: Effectively integrating various AI tools and platforms into existing design workflows and client systems can present technical and logistical hurdles.

Learning & Development Opportunities:

• AI Design Specialization: Becoming a recognized expert in AI-driven UX design through hands-on experience and specialized training.

• Industry Exposure: Working across diverse client projects provides broad exposure to different industries, business models, and design challenges.

• Tool Proficiency: Gaining deep expertise in cutting-edge AI design tools and platforms.

• Professional Development Budget: Access to resources for courses, certifications, and conferences to enhance skills in AI, UX, and product strategy.

• Mentorship & Knowledge Sharing: Opportunities to learn from and contribute to a team of experienced designers and AI specialists.

📝 Enhancement Note: The primary challenge and growth opportunity lie in mastering the integration of AI into UX design. Those who excel will be at the forefront of a new era in design.

💡 Interview Preparation

Strategy Questions:

• "Describe a project where you used AI tools to accelerate your design process. What specific tools did you use, and what was the quantifiable impact on efficiency and outcome?"

• "How do you envision AI changing the role of a UX Designer in the next 3-5 years? How do you prepare yourself for these changes?"

• "Walk me through a challenging client project where you had to balance user needs with business constraints. How did your design process, potentially aided by AI, address this?"

Company & Culture Questions:

• "What excites you most about working at the intersection of AI and UX design?"

• "How do you stay updated on the latest advancements in AI and design technologies?"

• "Describe your ideal remote work environment and how you maintain productivity and collaboration in such a setting."

Portfolio Presentation Strategy:

• AI Use Case Focus: For each portfolio piece, clearly state the AI tools used, the problem they solved, and the resulting benefits (e.g., time saved, insights gained, design iterations improved).

• Process Visualization: Use diagrams or flowcharts to illustrate your design process, highlighting where AI integration occurred.

• Storytelling: Craft a narrative around your projects that emphasizes the problem, your approach (including AI), and the successful outcome.

• Interactive Demonstration: Be prepared to demo interactive prototypes and discuss the user flows and design decisions behind them.

• Conciseness: Given the part-time nature and potential for multiple clients, be concise and focus on the most impactful aspects of your work.

📝 Enhancement Note: Interview preparation should heavily emphasize being able to articulate tangible examples of AI integration in design. Candidates should be ready to discuss the "how" and "why" of using AI, not just that they used it.

📌 Application Steps

To apply for this AI-Forward UX Designer position:

• Submit your application through the provided Jobgether link.

• Portfolio Customization: Ensure your portfolio prominently features case studies that detail your experience with AI tools in UX/UI design. Highlight specific examples of generative AI, AI-assisted research, or AI-driven prototyping.

• Resume Optimization: Tailor your resume to include keywords such as "AI-Forward UX," "Generative AI," "Figma AI," "User Research," "Prototyping," and "Design Systems." Quantify your achievements wherever possible.

• Interview Preparation: Practice articulating your design process, especially how AI tools enhance efficiency and outcomes. Prepare to discuss your vision for AI in UX design and be ready for potential design challenges that may involve AI tools.

• Company Research: Understand Jobgether's mission and how they use AI for talent matching. Be prepared to discuss your understanding of the partner company's likely focus on AI-driven product development.

⚠️ 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.