UX/UI Designer & IA (F/H) (Lyon)
📍 Job Overview
Job Title: UX/UI Designer & IA (F/H)
Company: Michelin
Location: Lyon, France
Job Type: Full-time
Category: Product Design / UX/UI
Date Posted: August 05, 2026
Experience Level: 3-5 years
Remote Status: Hybrid
🚀 Role Summary
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Design and develop user interfaces and experiences for AI-integrated products and services, ensuring human-centric and understandable interactions.
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Translate complex user journeys into intuitive, fluid, and accessible experiences for end-users, leveraging AI capabilities.
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Collaborate closely with Product, Data, and Engineering teams to understand AI possibilities and limitations and translate them into effective design solutions.
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Create polished UI mockups aligned with the Michelin Design System and produce high-fidelity prototypes for user validation and stakeholder buy-in.
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Actively participate in user research, including interviews and usability testing, to gather insights and identify concrete improvement opportunities for AI-driven features.
📝 Enhancement Note: This role focuses on the intersection of UX/UI Design and Artificial Intelligence, emphasizing the creation of user-centered experiences within a large, established automotive/tire industry company undergoing digital transformation. The hybrid work model and specific salary range indicate a mid-level, established professional opportunity.
📈 Primary Responsibilities
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Contribute to the design of interfaces for digital services and products incorporating artificial intelligence functionalities such as recommendations, conversational assistants, personalization, and decision support.
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Develop seamless, intuitive, and accessible user journeys for end-users, ensuring that AI features enhance rather than complicate the user experience.
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Partner with Product Managers, Data Scientists, and Engineers to effectively integrate AI capabilities into the product lifecycle, understanding technical constraints and opportunities.
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Produce UI mockups that are consistent with the Michelin Design System, ensuring visual coherence and brand identity across all digital touchpoints.
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Create and iterate on high-fidelity prototypes to test design concepts with users and stakeholders, gathering feedback to refine user flows and interface elements.
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Contribute to the evolution of AI-interaction-related components and patterns within the Michelin Design System.
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Plan and co-animate user research sessions, including interviews, usability testing, and comparative/A/B tests, to gather qualitative and quantitative data.
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Analyze user feedback and research findings to identify actionable improvement areas and inform design decisions for AI-powered features.
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Document design learnings and share best practices within the UX/UI team and broader product development groups.
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Experiment with generative AI tools (e.g., ideation, visual exploration, insight synthesis) to streamline and enhance the design workflow.
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Propose relevant and realistic use cases for AI in UX methodologies that deliver tangible user value.
📝 Enhancement Note: The responsibilities clearly outline a hands-on design role with a strong emphasis on user research, prototyping, and collaboration. The inclusion of AI tools in the design process highlights a forward-thinking approach to design operations.
🎓 Skills & Qualifications
Education: Bachelor's degree in Design (UX/UI, Interaction Design, Digital Design) or equivalent practical experience.
Experience: 3 to 5 years of professional experience in UX/UI design. Experience with digital projects involving data or AI is a significant asset.
Required Skills:
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Mastery of Figma for design, prototyping, and utilization of Design Systems.
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Strong understanding of UX/UI principles and the ability to structure clear and coherent user journeys.
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Proficiency in designing visually appealing interfaces and articulating design choices effectively.
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Demonstrated interest in Artificial Intelligence and a general understanding of its applications in digital products.
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Ability to collaborate effectively with cross-functional teams (Product, Data, Engineering).
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Excellent communication and interpersonal skills, with the ability to present ideas clearly.
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Rigor and attention to detail in design execution.
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Proactivity, autonomy (with progressive development), and a collaborative spirit. Preferred Skills:
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Familiarity with complementary prototyping tools such as Framer, ProtoPie, or Principle.
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Experience with graphic design or generative AI tools like Adobe Creative Suite, Adobe Firefly, Midjourney, or Google Stitch.
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Basic knowledge of HTML/CSS and an understanding of Design System principles for effective collaboration with developers.
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Interest in user research and feedback analysis.
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Fluency in French (C1/B2 level) and English (C1/B2 level).
📝 Enhancement Note: The emphasis on Figma, Design Systems, and user research aligns with standard UX/UI practices. The preferred skills indicate a desire for candidates who are adaptable and open to exploring emerging AI technologies within their design workflow. The language requirements are crucial for candidates.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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A strong, well-curated portfolio is required to present your design methodology, rationale behind design choices, and delivered artifacts.
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Showcase end-to-end design processes, from user research and ideation to wireframing, prototyping, UI design, and final implementation considerations.
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Demonstrate your ability to solve complex user problems, particularly in the context of AI-driven features or data-intensive applications.
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Include case studies that highlight your collaborative approach and how you worked with cross-functional teams to achieve product goals.
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Clearly articulate the impact of your design decisions, ideally with measurable outcomes or user feedback. Process Documentation:
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Examples of how you approach user research, including methodologies used, participant recruitment, and analysis of findings.
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Documentation of your wireframing, prototyping, and UI design workflow, showcasing your tool proficiency (e.g., Figma).
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Evidence of how you contribute to or utilize a Design System, including examples of component design or system evolution.
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Demonstrations of how you incorporate user feedback and iterative design principles into your process.
📝 Enhancement Note: A strong portfolio is critical for UX/UI roles. This section emphasizes demonstrating a structured design process, user-centricity, and the ability to articulate design rationale, especially concerning AI integrations.
💵 Compensation & Benefits
Salary Range: €50,000 to €60,000 gross fixed annual salary, depending on profile and experience.
Benefits:
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Performance-based bonus.
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Comprehensive employee experience initiatives.
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Support for employees with disabilities, including dedicated referents and ambassadors.
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Opportunities for professional development and continuous learning.
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Hybrid work model with 2 days of remote work per week.
Working Hours: Standard full-time working hours, typically 40 hours per week, with flexibility often available within the hybrid model.
📝 Enhancement Note: The salary range is competitive for a UX/UI Designer with 3-5 years of experience in Lyon, France. The hybrid work arrangement (2 days remote) is also a significant benefit. The mention of "advantages and bonus" suggests a comprehensive benefits package beyond the fixed salary.
🎯 Team & Company Context
🏢 Company Culture
Industry: Automotive (Tires) and Mobility Solutions. Michelin is a global leader with a strong focus on innovation, sustainability, and digital transformation.
Company Size: Michelin is a large multinational corporation with tens of thousands of employees worldwide, indicating a structured yet dynamic work environment.
Founded: 1889. Michelin has a long-standing history of innovation and commitment to quality, which influences its current approach to digital product development.
Team Structure:
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The role is within the Digital Transformation & Information Systems department.
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You will be part of a UX/UI team, collaborating closely with Product Managers, Data Scientists, and Engineers.
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This structure fosters cross-functional collaboration to bring innovative digital products to life. Methodology:
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The team embraces a digital-first approach, with a strong emphasis on user experience and data-driven decision-making.
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Agile methodologies are likely employed for product development, requiring adaptability and iterative design practices.
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There's a clear drive to integrate cutting-edge technologies like AI into user-facing products.
Company Website: https://recrutement.michelin.fr
📝 Enhancement Note: Michelin's established reputation and size suggest a stable yet forward-looking work environment. The company's commitment to digital transformation and AI integration indicates an exciting opportunity for designers to work on impactful, innovative projects. The provided employee engagement and recognition metrics highlight a positive work culture.
📈 Career & Growth Analysis
Operations Career Level: Mid-Level UX/UI Designer with a specialization in AI-integrated experiences. This role is for someone who has moved beyond entry-level tasks and can independently manage design projects and contribute strategically.
Reporting Structure: The role reports within the Digital Transformation & Information Systems department, likely to a UX/UI Lead or Manager, working within project-based teams that include Product, Data, and Engineering.
Operations Impact: This role directly impacts the user experience of Michelin's digital products and services, influencing customer satisfaction, adoption rates, and the overall success of AI initiatives. By designing intuitive interfaces for AI features, the designer contributes to making complex technologies accessible and valuable to users, thereby supporting Michelin's digital transformation goals and potentially driving new revenue streams or efficiencies.
Growth Opportunities:
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Specialization: Deepen expertise in AI UX/UI design, becoming a go-to specialist for AI-driven product development within Michelin.
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Leadership: Potential to move into a Senior UX/UI Designer role, mentoring junior designers and leading more complex design initiatives.
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Cross-functional Mobility: Opportunities to work on diverse digital projects across different Michelin business units, gaining broader product and industry knowledge.
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Skill Development: Continuous learning through experimentation with new AI tools and UX methodologies, potentially attending industry conferences or training.
📝 Enhancement Note: This role offers a clear path for growth within a specialized area of UX/UI design, particularly given the increasing importance of AI. The company's size provides ample opportunities for diverse career development within the broader digital transformation landscape.
🌐 Work Environment
Office Type: Hybrid work model, combining remote work with in-office collaboration.
Office Location(s): Lyon, France. This is a major hub for Michelin, offering a vibrant professional environment.
Workspace Context:
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The office environment in Lyon is expected to be modern and conducive to collaboration, with facilities supporting both individual work and team interactions.
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Access to standard design tools and technologies, including robust IT infrastructure for remote and in-office work.
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Opportunities for regular interaction with UX/UI peers, product teams, data scientists, and engineers, fostering a dynamic and communicative atmosphere.
Work Schedule: Full-time employment with a hybrid arrangement, allowing for 2 days of remote work per week. This provides a balance between focused remote work and in-person collaboration, team building, and brainstorming sessions.
📝 Enhancement Note: The hybrid model is a key aspect of the work environment, offering flexibility. The Lyon office location suggests a professional setting within a significant corporate presence.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: HR or Recruiter will review applications and portfolios for basic qualifications and alignment with the role.
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Technical Interview(s): Expect interviews focused on UX/UI design principles, your design process, Figma proficiency, and how you approach AI integration challenges. This may involve a portfolio walkthrough.
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Case Study/Challenge: You might be asked to complete a design exercise or present a detailed case study from your portfolio, demonstrating your problem-solving skills and design methodology.
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Team & Stakeholder Interviews: Meet with potential team members (other designers, product managers, engineers) to assess cultural fit, collaboration style, and communication skills.
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Final Interview: Likely with a hiring manager or department head to discuss career aspirations, role fit, and finalize the offer.
Portfolio Review Tips:
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Curate Selectively: Showcase 2-3 of your strongest projects that best represent your skills and experience, especially those involving AI or complex data.
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Tell a Story: For each project, clearly articulate the problem, your role, your process, the challenges faced, your solutions, and the outcomes/impact. Use visuals effectively.
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Highlight AI Integration: If you have projects involving AI, clearly explain your approach to designing for AI, including considerations for user trust, transparency, and error handling.
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Demonstrate Process: Show your thought process, from initial research and ideation to wireframes, prototypes, and final UI. Explain why you made certain design decisions.
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Tool Proficiency: Be ready to discuss your proficiency with Figma and any other relevant design or prototyping tools.
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Tailor to Michelin: If possible, subtly tailor your presentation to show an understanding of Michelin's brand, products, and the automotive/mobility sector.
Challenge Preparation:
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Understand the Brief: If given a design challenge, ensure you fully understand the problem statement, target users, and objectives.
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Time Management: Practice working within time constraints, prioritizing key aspects of the design process.
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Focus on Process: Even if you can't complete a full design, demonstrate your strategic thinking, approach to user needs, and key design decisions.
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Articulate Rationale: Be prepared to explain your decisions clearly and concisely, referencing UX principles and user-centered design.
📝 Enhancement Note: The interview process will heavily rely on your portfolio. Candidates should prepare to walk through their projects in detail, emphasizing their process, problem-solving skills, and any experience with AI or data-driven design.
🛠 Tools & Technology Stack
Primary Tools:
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Figma: The core tool for UI design, prototyping, and Design System management. Mastery is essential.
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Prototyping Tools: Familiarity with tools like Framer, ProtoPie, or Principle is a plus for advanced prototyping needs.
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Generative AI Tools: Experience or willingness to experiment with tools such as Adobe Firefly, Midjourney, or Google Stitch for ideation and visual exploration.
Analytics & Reporting:
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While not explicitly a primary responsibility, understanding how to interpret user data and feedback from analytics platforms is beneficial for user research analysis. CRM & Automation:
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Not directly relevant to this UX/UI role, but understanding how user data is managed in CRMs can provide context for user journeys.
📝 Enhancement Note: Figma is the central tool. The mention of generative AI tools indicates Michelin's interest in leveraging new technologies to accelerate the design process.
👥 Team Culture & Values
Operations Values:
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Innovation & Continuous Learning: A strong curiosity for emerging technologies like AI and a drive to constantly learn and adapt.
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Rigor & Detail-Oriented: A commitment to high-quality design execution and meticulous attention to detail.
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Collaboration & Communication: Valuing teamwork, clear communication, and the ability to work effectively with diverse teams.
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User-Centricity: A fundamental belief in designing solutions that are useful, understandable, and centered around the human user.
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Proactivity & Autonomy: Encouraging initiative, self-direction, and a willingness to contribute actively to team goals.
Collaboration Style:
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Expect a collaborative environment where designers work closely with product managers, data scientists, and engineers.
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Open communication and feedback exchange are crucial for iterative design and product development.
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The team likely values sharing knowledge and best practices, especially concerning new technologies like AI.
📝 Enhancement Note: The company culture emphasizes innovation, user focus, and collaborative execution, which are key for success in a digital transformation environment.
⚡ Challenges & Growth Opportunities
Challenges:
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Designing for AI Complexity: Translating abstract AI capabilities into tangible, understandable, and trustworthy user experiences can be challenging.
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Balancing User Needs with Technical Constraints: Effectively integrating AI requires understanding its limitations and ensuring designs are feasible for development teams.
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Staying Ahead of AI Advancements: The rapid evolution of AI technologies requires continuous learning and adaptation of design approaches.
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Cross-Functional Alignment: Ensuring consistent understanding and buy-in for AI-driven UX strategies across Product, Data, and Engineering teams.
Learning & Development Opportunities:
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AI UX Specialization: Deep dive into the emerging field of AI-specific user experience design.
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Tool Exploration: Experimentation with and mastery of new generative AI tools for design.
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Industry Best Practices: Learning from leading companies and researchers in AI UX.
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Mentorship: Potential to learn from senior designers and contribute to the development of junior team members.
📝 Enhancement Note: The primary challenges and growth opportunities revolve around the innovative use of AI in design, requiring continuous learning and strategic thinking.
💡 Interview Preparation
Strategy Questions:
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"Describe your process for designing user experiences for features powered by artificial intelligence. What are the unique considerations?"
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"Walk us through a project where you had to translate complex data or AI functionality into a simple, intuitive user interface. What was your approach?"
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"How do you ensure user trust and transparency when designing AI-driven features? What specific design patterns would you employ?"
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"How do you collaborate with data scientists and engineers to understand the capabilities and limitations of AI models when designing?" Company & Culture Questions:
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"What interests you about Michelin's digital transformation and its approach to AI?"
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"How do you see your role contributing to Michelin's mission of sustainable mobility through design?"
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"Describe a time you had to adapt your design process or approach based on team feedback or technical constraints."
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"How do you stay updated on the latest trends in UX/UI design and artificial intelligence?" Portfolio Presentation Strategy:
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Structure: Begin with an overview of the project's goals and your role, then dive into your process (research, ideation, wireframing, UI, prototyping), highlighting key decisions and challenges. Conclude with outcomes and lessons learned.
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AI Focus: For AI-related projects, explicitly detail how you addressed user understanding, trust, error handling, and the overall user journey with AI integration.
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Figma Showcase: Be prepared to demonstrate specific Figma skills, such as component usage, prototyping capabilities, or your workflow within a design system.
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Conciseness: Be mindful of time; focus on the most impactful aspects of your work. Practice your narrative to be clear and engaging.
📝 Enhancement Note: Prepare to articulate your design process, especially concerning AI, and to showcase your portfolio with a narrative that highlights problem-solving, collaboration, and user-centricity within the context of Michelin's digital initiatives.
📌 Application Steps
To apply for this UX/UI Designer & IA position:
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Submit your application through the provided Workday link.
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Portfolio Customization: Ensure your portfolio is up-to-date, clearly showcases your UX/UI design process, and highlights any relevant experience with AI, data, or complex digital products. Tailor your project selection to align with the job description's emphasis on AI integration.
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Resume Optimization: Update your resume to prominently feature your years of experience, proficiency in Figma, and any experience with AI-driven design or user research. Use keywords from the job description like "UX/UI Design," "Figma," "Artificial Intelligence," "Prototyping," and "User Research."
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Interview Preparation: Practice articulating your design methodology, your approach to AI UX challenges, and your reasons for wanting to join Michelin. Prepare to walk through your portfolio projects with confidence and clarity.
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Company Research: Familiarize yourself with Michelin's digital transformation efforts, their product portfolio, and their commitment to innovation and sustainable mobility. Understand their brand and design aesthetic.
⚠️ 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.
Application Requirements
Requires 3 to 5 years of experience in UX/UI design and a strong portfolio demonstrating design methodology. Proficiency in Figma and a solid understanding of AI applications in digital products are essential.