UX/UI / Product Designer – Produits IA (H/F)

📍 Job Overview

Job Title: UX/UI / Product Designer – AI Products (H/F)

Company: Scalian

Location: Paris / Île-de-France, France

Job Type: Full-time

Category: Product Design / UX/UI

Date Posted: 2026-08-26

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• This role focuses on integrating a comprehensive UX/UI approach into AI-driven products, transforming complex AI functionalities into user-friendly solutions.

• The position involves leading end-to-end design processes, from initial research and user understanding to the final implementation of interfaces.

• A key aspect is the co-creation and collaboration with cross-functional teams, including Product Owners, Developers, and Data Scientists, to ensure holistic product development.

• The designer will be instrumental in shaping user journeys and workflows for sophisticated AI systems, emphasizing data visualization and intuitive interaction design.

📝 Enhancement Note: While the job title is UX/UI / Product Designer, the description emphasizes a strong product design focus, particularly for complex, AI-integrated systems. The role requires not just UI aesthetics but a deep understanding of user needs, business requirements, and technical feasibility within an AI context. The mention of "DataViz & Intégration" and the need to "understand a complex business, challenge the need, and co-design the product" points towards a strategic, problem-solving design role rather than purely execution.

📈 Primary Responsibilities

• User Research & Needs Cadrage: Lead user research initiatives, including interviews, observations, and usability testing, to thoroughly understand user needs, pain points, and usage patterns within complex AI product contexts.

• Journey Mapping & Co-Design Facilitation: Develop detailed user journey maps and complex workflow diagrams. Facilitate co-design workshops involving business stakeholders, Product Owners, Developers, and Data Scientists to foster collaborative product ideation and problem-solving.

• Interface & Prototype Design: Create wireframes, interactive prototypes, and high-fidelity mockups using Figma, adhering to and contributing to the Quantum Design System.

• Data Visualization & AI Integration: Design intuitive and effective data visualizations for AI-driven insights. Conceptualize user interactions that integrate intelligent systems, focusing on user trust, comprehension, control, and explainability.

• Development Support & Backlog Management: Collaborate closely with development teams to ensure accurate implementation of designs. Manage UX aspects within the product backlog, prioritizing tasks and providing ongoing support to development squads.

📝 Enhancement Note: The responsibilities highlight a full-cycle product design approach, extending beyond typical UI design to encompass strategic product definition, deep user understanding, and active participation in agile development processes. The emphasis on AI integration suggests a need for designers who can translate abstract AI capabilities into tangible, understandable user experiences.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for a senior role, though equivalent practical experience will be strongly considered.

Experience: 5-10 years of experience as a Product Designer, UX Designer, or UI Designer, with a proven track record of designing complex digital products. Experience working within Agile/Lean UX methodologies is essential.

Required Skills:

• Figma Mastery: Advanced proficiency in Figma for wireframing, prototyping, and high-fidelity design.

• Design Systems: Proven experience in working with, and contributing to, Design Systems. Familiarity with the specific "Quantum Design System" is a plus.

• User Research & UX Strategy: Comprehensive understanding and practical application of various user research methodologies (interviews, usability testing, surveys) and the ability to translate research findings into actionable design strategies.

• Workshop Facilitation: Expertise in planning and facilitating co-design, ideation, and problem-solving workshops with diverse stakeholder groups.

• Agile/Lean UX: Strong familiarity with Agile development environments and Lean UX principles, including iterative design and rapid prototyping.

• Data Visualization (DataViz): Experience in designing effective and insightful data visualizations for complex datasets.

• Fluent English (C1): Professional fluency in English for effective communication within international teams and with external stakeholders.

Preferred Skills:

• HTML/CSS Basics: Foundational knowledge of HTML and CSS to better understand development constraints and possibilities.

• AI/ML Product Design Experience: Prior experience designing products that incorporate Artificial Intelligence or Machine Learning features, understanding concepts like trust, explainability, and user control.

• Complex Domain Understanding: Demonstrated ability to quickly grasp and design for complex business domains or technical systems.

📝 Enhancement Note: The emphasis on avoiding "pure UI or graphic design" profiles and the requirement to "understand a complex business, challenge the need, and co-design the product" clearly indicates that this role prioritizes strategic thinking, problem-solving, and cross-functional collaboration over purely aesthetic design skills. The AI sensitivity is explicitly a strong plus, not a deal-breaker, suggesting the company is open to training on specific AI nuances if the core design and collaboration skills are exceptional.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase 2-3 comprehensive case studies demonstrating your full product design process, from initial problem definition and user research through to final design and implementation support.

• Complex Product Examples: Highlight projects involving complex functionalities, intricate workflows, or data-intensive interfaces, ideally with a focus on AI or advanced technology.

• Figma & Design System Usage: Provide clear examples of your work in Figma, demonstrating proficiency in wireframing, prototyping, and UI design. If possible, show how you've utilized or contributed to Design Systems.

• Data Visualization Examples: Include specific examples of data visualization designs, illustrating how you've made complex data understandable and actionable for users.

• Collaboration & Impact: Articulate your role in cross-functional teams and demonstrate how your design contributions led to measurable improvements in user experience, product adoption, or business outcomes.

Process Documentation:

• Research & Analysis: Document your approach to user research, including methodologies used, key insights derived, and how these insights informed design decisions.

• Design Iteration: Showcase the iterative nature of your design process, including wireframes, prototypes, user testing feedback, and how designs evolved based on feedback.

• Collaboration & Workshop Outputs: Include examples of deliverables from co-design workshops or collaborative sessions, demonstrating your ability to facilitate and integrate diverse perspectives.

• Implementation Handoff: Detail your process for handing off designs to development teams, including the types of documentation and communication you provide.

📝 Enhancement Note: For this role, a portfolio is paramount. It needs to go beyond showcasing polished UI screens. The emphasis on research, complex problem-solving, co-design, and AI integration means candidates must be prepared to walk through their strategic thinking, their research methodologies, and their collaborative processes, supported by concrete examples of their work in Figma and ideally related to data visualization or complex systems.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX/UI Product Designers with 5-10 years of experience in Paris, France, the estimated annual gross salary range is €55,000 - €75,000. This range can vary based on specific experience, skill set, and negotiation.

Benefits:

• Comprehensive Onboarding: A structured onboarding program designed to integrate new hires effectively over the first year.

• Personalized Training: Access to customized training programs to support continuous professional development and skill enhancement.

• Technical Communities: Opportunities to join and participate in technical communities for knowledge sharing and networking.

• Internal Events: Regular internal events fostering team cohesion and company culture.

• Co-optation Bonus: Incentives for referring successful candidates to Scalian.

• Vacation Bonus: Additional bonus provided to support employee vacation time.

• Telework Agreement: A formal agreement supporting remote work, indicating flexibility for hybrid arrangements.

Working Hours: Standard full-time working hours are typically 35-40 hours per week, with flexibility offered through the telework agreement for hybrid arrangements.

📝 Enhancement Note: Salary estimation is based on published data for similar roles in Paris, considering the "Senior" designation and the specified experience range. The benefits listed are directly from the provided text and are typical for established consulting firms in France, emphasizing professional development and quality of life.

🎯 Team & Company Context

🏢 Company Culture

Industry: Engineering and Digital Consulting Services. Scalian operates across diverse sectors including Aerospace, Space, Automotive, Rail, Services, Luxury, and Retail, leveraging digital and AI solutions.

Company Size: Over 5,500 employees across 11 countries and 15 French locations, with a significant annual revenue of €550 million. This indicates a large, established, and growing international organization.

Founded: 1989. With over three decades of experience, Scalian has a strong foundation and a history of sustained growth, evidenced by its 20% annual growth rate.

Team Structure:

• The UX/UI Product Designer will join 1-2 "squads," which are typically agile, cross-functional teams focused on specific product development initiatives.

• These squads likely include Product Owners, Developers, and Data Scientists, indicating a collaborative, product-centric team structure.

• Reporting likely occurs within the squad structure and to a design lead or product manager. Methodology:

• Scalian emphasizes a strong commitment to UX/UI integration throughout their product lifecycle, particularly for AI products.

• They operate within Agile/Lean UX frameworks, suggesting iterative development, continuous feedback, and a focus on delivering value quickly.

• The company promotes a data-driven approach, as evidenced by the need for Data Visualization skills and the integration of AI.

Company Website: https://www.scalian.com/ (derived from domain)

📝 Enhancement Note: Scalian's positioning as a top engineering consulting firm suggests a professional, technically adept, and client-focused culture. The "Great Place to Work" and "Best Workplaces for Women" certifications point towards a commitment to employee well-being, inclusivity, and a positive work environment, which is beneficial for design teams needing creative freedom and support.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer role. It implies significant autonomy, the ability to lead design initiatives, mentor junior designers (potentially), and influence product strategy. The focus on complex AI products suggests a specialization within a cutting-edge field.

Reporting Structure: The designer will likely report to a Lead Product Designer, Head of Design, or a Product Manager within a specific business unit or squad. Collaboration is expected across multiple squads and with various technical and business stakeholders.

Operations Impact: The role's impact is direct: shaping the usability and adoption of critical AI products. Successful UX/UI design will drive user engagement, customer satisfaction, and ultimately, the commercial success of Scalian's AI offerings. The designer's work will be visible across various client engagements.

Growth Opportunities:

• Specialization: Deepen expertise in designing for AI/ML products, becoming a go-to specialist in this niche.

• Leadership: Progress to a Lead Designer or Design Manager role, overseeing design strategy and team development for AI initiatives.

• Cross-Industry Exposure: Gain experience across diverse industries (aerospace, luxury, retail, etc.) as Scalian serves a broad client base.

• Skill Expansion: Develop skills in product strategy, data science collaboration, and potentially technical aspects of AI integration.

• Mentorship: Opportunities to mentor junior designers and contribute to the growth of Scalian's design community.

📝 Enhancement Note: The "5-10 years" experience level for a Senior role suggests candidates are expected to be largely self-sufficient, capable of driving projects, and contributing to design best practices within the company. Growth opportunities are strong given Scalian's size, growth rate, and focus on emerging technologies like AI.

🌐 Work Environment

Office Type: Hybrid work arrangement. Employees are expected to work from the office and remotely, with flexibility. The office environment in Paris/Île-de-France is likely designed for collaboration, client meetings, and focused work.

Office Location(s): Paris / Île-de-France, France. This is a major European business hub, offering excellent connectivity and access to a vibrant professional ecosystem.

Workspace Context:

• Collaborative Spaces: Offices are likely equipped with meeting rooms, collaborative zones, and potentially dedicated design spaces to facilitate teamwork with squads and stakeholders.

• Tools & Technology: Access to standard professional design software, particularly Figma, and potentially company-provided hardware conducive to design work.

• Team Interaction: Frequent interaction with diverse teams (Product Owners, Developers, Data Scientists, other designers) within a consulting environment, fostering a dynamic and intellectually stimulating atmosphere.

Work Schedule: Full-time, typically 35-40 hours per week. The hybrid model and telework agreement offer flexibility in structuring the work week.

📝 Enhancement Note: As a consulting firm, Scalian's work environment will likely be fast-paced and client-oriented. The hybrid model is a key perk, offering a balance between in-person collaboration and remote work flexibility, which is highly valued by design professionals.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, experience alignment, and cultural fit.

• Portfolio Review & Technical Interview: Presentation of your design portfolio to the hiring manager and/or lead designer. This will involve discussing your case studies, design process, and problem-solving approach, particularly concerning complex products and AI. Expect questions on your Figma skills, Design System experience, and user research methodologies.

• Workshop Simulation/Design Challenge: You may be asked to participate in a design exercise or a mock workshop to assess your facilitation skills, ability to collaborate under pressure, and approach to problem-solving for a given scenario (potentially AI-related).

• Cross-Functional Team Interview: Meeting with potential squad members (e.g., a Product Owner, a Developer, a Data Scientist) to evaluate your collaboration style, communication skills, and ability to integrate with different disciplines.

• Final Interview: Potentially with a senior leader to discuss career aspirations, alignment with Scalian's values, and final offer details.

Portfolio Review Tips:

• Tell a Story: For each case study, clearly articulate the problem, your role, the process you followed, the challenges you faced, your solutions, and the outcomes.

• Focus on Process, Not Just Pixels: Emphasize your research, ideation, iteration, and collaboration phases. Explain why you made certain design decisions, linking them back to user needs and business goals.

• Highlight AI Nuances: If you have AI-related projects, specifically discuss how you addressed challenges like trust, explainability, user control, and data interpretation.

• Demonstrate Figma Proficiency: Be ready to navigate through your Figma files, explaining your component usage, prototyping interactions, and design system implementation.

• Quantify Impact: Whenever possible, use metrics to demonstrate the impact of your designs (e.g., improved conversion rates, reduced task completion time, increased user satisfaction scores).

Challenge Preparation:

• Understand the Context: If given a design challenge, thoroughly analyze the problem statement, target users, and business objectives.

• Embrace Collaboration: Approach any simulation as a collaborative exercise. Listen actively, ask clarifying questions, and build upon others' ideas.

• Think Strategically: Consider the broader product strategy and how your design fits into the overall ecosystem, especially with AI components.

• Articulate Trade-offs: Be prepared to discuss design trade-offs and justify your decisions based on constraints, user needs, and business priorities.

📝 Enhancement Note: The interview process is designed to assess not just design skills but also strategic thinking, collaboration, and adaptability, especially in the context of complex AI products. The portfolio is the cornerstone; it must clearly demonstrate the candidate's ability to handle complexity and work effectively within a cross-functional team.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design tool for wireframing, prototyping, and UI design. Advanced proficiency is a must.

• Design Systems: Experience with or contribution to Design Systems, specifically mentioning the "Quantum Design System" as a reference.

Analytics & Reporting:

• While not explicitly mentioned, a strong understanding of how to leverage user analytics and performance data to inform design decisions and measure impact is expected for a senior role. Familiarity with common analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude) would be beneficial. CRM & Automation:

• Not directly relevant to this design role, but understanding how products integrate with CRM systems or backend processes can be helpful for context.

📝 Enhancement Note: The tech stack is heavily focused on design tools, with Figma being the primary requirement. The mention of "DataViz" implies a need to work with data visualization libraries or tools, though specific names aren't provided. Familiarity with tools that support agile workflows and collaboration will also be advantageous.

👥 Team Culture & Values

Operations Values:

• Excellence in Design: A commitment to high-quality, user-centered design that drives tangible business outcomes for clients.

• Innovation & AI Focus: Embracing new technologies like AI and finding creative ways to integrate them into user-friendly products.

• Collaboration & Co-creation: Valuing teamwork, open communication, and shared ownership among cross-functional teams.

• Continuous Improvement: A culture of learning, iteration, and adapting to new challenges and client needs.

• Quality of Life: Promoting a healthy work-life balance, as evidenced by their Great Place to Work certifications and telework agreement.

Collaboration Style:

• Cross-Functional Integration: Seamless collaboration with Product Owners, Developers, and Data Scientists is essential, working as a cohesive unit within agile squads.

• User-Centric Dialogue: Regularly engaging with users and stakeholders to gather feedback and ensure designs meet evolving needs.

• Knowledge Sharing: Encouraging the sharing of design principles, best practices, and lessons learned within the design team and broader organization.

📝 Enhancement Note: Scalian's "Great Place to Work" status suggests a culture that is supportive, inclusive, and values employee well-being. The emphasis on co-creation and cross-functional collaboration indicates a dynamic environment where designers are integral team members, not isolated specialists.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Complexity: Translating abstract AI capabilities into intuitive, trustworthy, and understandable user experiences for a diverse user base.

• Balancing User Needs & Technical Constraints: Navigating the complexities of AI development while ensuring a seamless and effective user journey.

• Cross-Cultural/Client Collaboration: Working with various clients and internal teams, potentially with different technical maturities and expectations.

• Staying Ahead of AI Trends: Continuously learning and adapting design strategies to keep pace with the rapid evolution of AI technologies.

Learning & Development Opportunities:

• AI Design Specialization: Deepen expertise in UX for AI/ML through internal knowledge sharing, potential external training, and hands-on project experience.

• Advanced Design Skills: Enhance skills in data visualization, complex systems design, and advanced prototyping.

• Agile & Product Strategy: Further develop expertise in Agile methodologies and contribute to strategic product decision-making.

• Mentorship & Leadership: Opportunities to mentor junior designers and take on leadership roles within projects or the design team.

📝 Enhancement Note: The primary challenge lies in the novelty and complexity of designing for AI. This presents a significant growth opportunity for designers looking to specialize in a high-demand, future-oriented field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a complex product for a user base that was unfamiliar with the underlying technology. How did you approach it?" (Focus on user research, simplification, and education).

• "How would you approach designing an interface for a machine learning model that needs to explain its predictions to a non-technical user?" (Focus on explainability, trust, and transparency in AI design).

• "Walk me through a challenging project where you had to collaborate closely with Data Scientists. What were the key challenges and how did you overcome them?" (Focus on cross-functional communication, understanding technical constraints, and shared problem-solving). Company & Culture Questions:

• "What interests you about Scalian and our work in AI products?" (Research Scalian's projects, values, and AI initiatives).

• "How do you ensure your design process remains user-centered within an Agile development framework?" (Discuss your understanding of Lean UX and iterative design).

• "Describe your experience with Design Systems. How do you contribute to or leverage them?" (Highlight your understanding of consistency, scalability, and efficiency). Portfolio Presentation Strategy:

• Structure for Impact: Begin with a strong executive summary of your most relevant project, then dive into the details of 2-3 key case studies.

• Narrative Flow: Ensure each case study tells a compelling story with a clear beginning (problem), middle (process, solutions, collaboration), and end (outcome, impact).

• Visual Clarity: Use high-quality visuals (wireframes, mockups, prototypes) and be prepared to annotate them to explain specific design choices and user flows.

• Quantify Results: Whenever possible, present metrics that demonstrate the success of your designs, linking them to business objectives.

• Be Ready for Deep Dives: Anticipate questions on specific design decisions, research findings, and your collaboration with other team members.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, problem-solving skills, and a deep understanding of the UX/UI process, particularly as it applies to complex and AI-driven products. Be ready to articulate your thought process and collaborative approach with specific examples.

📌 Application Steps

To apply for this UX/UI / Product Designer position:

• Submit your application through the provided link on SmartRecruiters.

• Tailor Your Resume: Highlight experience in product design, UX/UI, AI-related projects, Figma, Design Systems, user research, and Agile methodologies. Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best represent your skills in designing complex products, working with AI, and your end-to-end design process. Ensure it's easily navigable and showcases your Figma work.

• Prepare Your Narrative: Be ready to articulate your design philosophy, your approach to user research, your collaboration style, and your specific contributions to past projects during interviews. Practice presenting your portfolio.

• Research Scalian: Understand Scalian's business, its industry focus areas, and its commitment to AI and digital transformation. This will help you tailor your responses and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with Scalian before making application decisions.