Product Designer IA H/F

📍 Job Overview

Job Title: Product Designer IA H/F

Company: NEXTON

Location: Paris, Île-de-France, France

Job Type: Temps complet (Full-time)

Category: Product Design / AI Design

Date Posted: 2026-09-04

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• This role focuses on designing innovative digital products that integrate Artificial Intelligence (AI) technologies, requiring a deep understanding of user experience within AI-driven contexts.

• You will be instrumental in defining the product vision and user experience for conversational AI and AI-assisted products, bridging user needs, business objectives, and technical constraints.

• The position involves end-to-end design responsibilities, from the initial discovery phase through to the implementation and continuous improvement of AI-powered solutions.

• Collaboration is key, as you will work closely with Product Managers, UX Researchers, Data Scientists, AI teams, and Developers to create impactful, understandable, and high-value user experiences.

📝 Enhancement Note: This role is situated at the intersection of Product Design and Artificial Intelligence, a niche and highly sought-after area. The emphasis on "IA H/F" (AI Man/Woman) indicates a specific focus on AI integration within product design. The company's description as a blend of consulting, factory, and ESN (IT Services Company) suggests a dynamic environment with exposure to large clients and innovative digital strategies.

📈 Primary Responsibilities

• Define the product vision and user experience for conversational or AI-assisted products, considering user needs, business goals, and technical feasibility.

• Lead the entire design cycle from discovery to production, identifying opportunities to leverage AI (generative and predictive models) within user journeys.

• Conduct user research to understand user expectations, behaviors, and potential barriers related to AI adoption.

• Design user journeys, wireframes, mockups, and prototypes to rapidly test new human-machine interactions.

• Conceptualize interfaces for conversational AI, copilots, intelligent assistants, and AI-enhanced functionalities.

• Establish experience principles, guidelines, and design components to ensure consistency across AI experiences at scale.

• Collaborate closely with Product, Design, Data, and Engineering teams to translate technical AI capabilities into simple, intuitive, and understandable user experiences.

• Drive continuous product improvement through usage analysis, user testing, and performance measurement of implemented experiences.

• Maintain an active watch on generative AI advancements, emerging use cases, new models, and associated best practices in design.

📝 Enhancement Note: The responsibilities highlight a strategic and hands-on approach to AI product design. The emphasis on "conversational interfaces," "copilots," and "intelligent assistants" points to specific AI application areas. The need for "guidelines and design components" suggests the establishment of design systems tailored for AI, and the "active watch" on AI evolution implies a need for continuous learning and adaptation.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for a role of this seniority.

Experience: A minimum of 5 years of experience (excluding internships and apprenticeships) in product design for complex digital products, with significant expertise in designing experiences that integrate Artificial Intelligence.

Required Skills:

• Product Design expertise with a strong focus on AI integration.

• Proficiency in Design Thinking, Product Discovery, UX Research, prototyping, and user testing methodologies.

• Deep understanding of generative AI, conversational interfaces, recommendation systems, or intelligent assistants.

• Ability to design AI experiences that are understandable, useful, and controllable for users.

• Mastery of design tools such as Figma.

• Proficiency in rapid prototyping and experimentation methodologies.

• Experience collaborating effectively with multidisciplinary teams (Product Managers, Data Scientists, Machine Learning Engineers, Developers).

• Strong communication skills to simplify complex topics, challenge needs, and align stakeholders around a product vision.

• Analytical mindset, capacity for experimentation, and a user-centric approach. Preferred Skills:

• Familiarity with AI ethics, transparency, explainability, and trust-related considerations.

• Experience in defining design systems or component libraries for AI-driven products.

• Active participation in the AI and design communities, with a strong portfolio showcasing AI-related projects.

• Understanding of data science and machine learning concepts to better inform design decisions.

📝 Enhancement Note: The requirement for 5+ years of experience specifically in AI-integrated product design signifies a senior-level role. The emphasis on making AI "understandable, useful, and controllable" is a critical aspect of responsible AI design. The mention of Figma as a primary tool is standard, but the need for rapid prototyping and experimentation highlights an agile development approach.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 significant projects demonstrating your expertise in designing AI-integrated products, with a clear emphasis on the user experience challenges and solutions.

• For each project, clearly articulate your role, the problem statement, your design process (discovery, research, ideation, prototyping, testing), and the final outcomes.

• Highlight specific examples of how you translated complex AI capabilities into intuitive and user-friendly interfaces.

• Include case studies that detail your approach to user research for AI products, focusing on understanding user perceptions and needs related to AI.

• Demonstrate your ability to design for conversational interfaces, AI copilots, or other AI-driven functionalities. Process Documentation:

• Provide examples of how you've documented user flows, wireframes, and high-fidelity mockups for AI features.

• Showcase instances where you've contributed to defining AI experience principles or design guidelines.

• Include evidence of your process for iterative design and testing of AI-powered user experiences.

• Demonstrate how you've collaborated with data scientists and engineers, perhaps through shared documentation or process diagrams.

📝 Enhancement Note: For a Product Designer role with an AI focus, the portfolio is paramount. It needs to go beyond standard UI/UX and demonstrate a concrete understanding of AI's unique design challenges and opportunities. The ability to document the process for "AI experience principles" is a key differentiator.

💵 Compensation & Benefits

Salary Range: For a Product Designer with 5-10 years of experience specializing in AI in Paris, the estimated salary range would be €55,000 - €75,000 annually. This estimate is based on industry benchmarks for senior product designers in tech/consulting roles in major European cities, adjusted for the specialized AI skill set and the French market.

Benefits:

• Dynamic communities: Access to internal communities for knowledge sharing and networking.

• Meetups: Opportunities to attend and participate in professional development events.

• Training programs: Access to ongoing learning and skill development initiatives.

• Sports and festive events: Company-sponsored activities for employee well-being and team building.

• Sustainable mobility package: Support for eco-friendly commuting options.

• Latest generation smartphone: Provision of a high-end mobile device for professional use.

Working Hours: The standard working hours are likely around 40 hours per week, typical for a full-time position in France. Flexibility may be offered based on project needs and team collaboration, but the role is primarily on-site.

📝 Enhancement Note: The salary estimate is based on general market data for senior design roles in Paris and factoring in the specialized AI expertise. The benefits listed are typical for a consulting/ESN firm, emphasizing professional development and employee engagement.

🎯 Team & Company Context

🏢 Company Culture

Industry: NEXTON operates within the Digital Transformation, Consulting, and IT Services (ESN) industry. They serve large accounts and pure players in sectors like finance, telecommunications, and transportation, indicating a focus on complex, enterprise-level digital solutions.

Company Size: With over 450 experts, NEXTON is a mid-to-large-sized company. This size typically allows for a structured organization with specialized teams while maintaining a dynamic and agile culture, fostering cross-functional collaboration.

Founded: Founded in 2011, NEXTON has established itself over a decade, suggesting a stable and growing company with a proven track record in digital innovation.

Team Structure:

• The Product Design team is likely composed of specialized designers, including UX Researchers, UI Designers, and now, Product Designers with an AI focus.

• Reporting is expected to be within a design leadership structure, with designers collaborating closely with Product Management, Data Science, and Engineering leads.

• Cross-functional collaboration is a core aspect, with designers working intimately with product owners, data scientists, and development teams to bring AI products to life. Methodology:

• Data Analysis and Insights: Utilizing user data, analytics, and research to inform design decisions, especially crucial for understanding AI product performance.

• Workflow Planning and Optimization: Applying agile and design thinking methodologies to structure the design process for complex AI projects.

• Automation and Efficiency Practices: Leveraging design tools and processes to streamline the creation and iteration of AI-driven user experiences.

Company Website: https://www.nexton.com/ (Assuming this is the correct domain based on input)

📝 Enhancement Note: The company's description as a blend of consulting, factory, and ESN suggests a unique culture where strategic thinking, creative execution, and technical delivery converge. The emphasis on innovation and digital transformation aligns well with a role focused on AI.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Product Designer with a specialization in Artificial Intelligence. It requires a significant level of autonomy, strategic input, and the ability to mentor or guide others in AI design principles. The scope involves influencing product strategy and leading design efforts for complex AI features.

Reporting Structure: You would likely report to a Head of Design, Design Lead, or a Director of Product. You will also collaborate extensively with Product Managers, Data Scientists, and Engineering Managers, forming a core product team.

Operations Impact: As a Product Designer IA, your impact will be measured by the successful design and adoption of AI-powered features. This includes enhancing user engagement, improving product efficiency, driving customer satisfaction through intelligent interactions, and ultimately contributing to the business objectives of NEXTON's clients. Your work will directly shape how users interact with cutting-edge AI technologies.

Growth Opportunities:

• Specialization Deep Dive: Opportunities to become a recognized expert in AI product design, potentially leading to Principal or Lead AI Designer roles.

• Cross-functional Leadership: Transitioning into Product Management roles or leading design sprints for AI initiatives.

• Mentorship: Guiding junior designers or contributing to the company's AI design best practices.

• Client-facing Expertise: Developing strong client relationship and presentation skills, becoming a key advisor on AI product strategy.

📝 Enhancement Note: The role offers a clear path for growth into specialized AI design leadership or broader product strategy roles, leveraging the unique skills gained. The impact is significant, as AI is a transformative technology for clients.

🌐 Work Environment

Office Type: The role is on-site in Paris. NEXTON likely offers a modern, collaborative office environment designed to foster creativity and teamwork, typical of consulting and tech firms.

Office Location(s): Paris, France. This central location provides access to a vibrant tech ecosystem and excellent public transportation.

Workspace Context:

• Collaborative Environment: Expect open-plan workspaces, meeting rooms, and informal areas designed for brainstorming and team collaboration, crucial for multidisciplinary AI projects.

• Tools and Technology: Access to industry-standard design software (Figma), prototyping tools, and potentially AI development platforms or sandboxes for hands-on experimentation.

• Team Interaction: Frequent interaction with product teams, data scientists, and developers, facilitating a dynamic exchange of ideas and rapid iteration cycles.

Work Schedule: A standard 40-hour work week is typical, with potential for project-driven flexibility. The on-site requirement emphasizes in-person collaboration for design sprints, workshops, and team alignment.

📝 Enhancement Note: The on-site nature of the role in Paris is a key factor, suggesting a preference for highly collaborative and interactive design processes, especially important when working with complex AI technologies and diverse teams.

📄 Application & Portfolio Review Process

Interview Process:

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

• Portfolio Review & Technical Interview: A session with a Design Lead or Senior Designer to discuss your portfolio, focusing on AI design projects, your process, and problem-solving skills. Be prepared to walk through case studies and explain your design rationale.

• Cross-functional Interview: An interview with a Product Manager and/or a Data Scientist to evaluate your collaboration skills, understanding of AI capabilities, and ability to work within a multidisciplinary team.

• Final Interview: A meeting with a senior leader (e.g., Head of Design, CTO, or Client Director) to discuss your overall fit, strategic thinking, and long-term career aspirations within NEXTON.

Portfolio Review Tips:

• Curate for AI: Prioritize projects that showcase your experience with AI, machine learning, conversational interfaces, or complex data visualization.

• Process Over Polish: Clearly articulate your design process, especially how you approached user research, ideation, and iteration for AI features. Highlight the challenges and how you overcame them.

• Quantify Impact: Where possible, use metrics (even estimates) to demonstrate the impact of your designs on user behavior, efficiency, or business goals.

• Storytelling: Frame your projects as compelling narratives. Explain the "why" behind your design decisions and how they addressed specific user or business problems.

Challenge Preparation:

• AI Design Scenario: Be ready for a hypothetical design challenge involving an AI product or feature. This might require you to outline your approach, identify key user needs, and suggest potential solutions.

• Stakeholder Communication: Prepare to explain technical AI concepts to a non-technical audience and discuss how you would manage differing opinions from Product, Data, and Engineering.

• Ethical Considerations: Be prepared to discuss ethical implications of AI design and how you would approach them.

📝 Enhancement Note: The interview process likely emphasizes practical design skills, collaborative potential, and a clear understanding of AI's unique design challenges. The portfolio is your primary tool to demonstrate this expertise.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for wireframing, UI design, prototyping, and design system management.

• Prototyping Tools: Alongside Figma, proficiency in tools like InVision, Adobe XD, or specialized AI prototyping platforms might be beneficial.

• User Research Tools: Platforms for surveys, interviews, usability testing (e.g., Maze, UserTesting.com).

Analytics & Reporting:

• Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude for understanding user behavior and product performance.

• Data Visualization Tools: Familiarity with Tableau, Power BI, or similar for interpreting data insights from Data Scientists.

CRM & Automation:

• While not directly a CRM role, understanding how AI features integrate with CRM systems (e.g., Salesforce, HubSpot) and impact sales/customer service workflows can be advantageous.

• Familiarity with project management tools like Jira, Asana, or Trello for agile workflows.

📝 Enhancement Note: Figma is explicitly mentioned, making it a must-have skill. The role also implies a need to interface with data and potentially AI model outputs, suggesting familiarity with analytics and data visualization concepts would be highly beneficial.

👥 Team Culture & Values

Operations Values:

• Innovation & Excellence: A drive to create cutting-edge digital products, particularly leveraging AI, and a commitment to high-quality design outcomes.

• Collaboration & Synergy: A strong emphasis on teamwork, cross-functional partnership, and collective problem-solving, essential for complex AI projects.

• User Centricity: A deep commitment to understanding and serving user needs, ensuring AI is designed to be beneficial and accessible.

• Agility & Adaptability: Embracing iterative design processes, continuous learning, and quick adaptation to new technologies and client requirements.

• Impact & Value Creation: Focusing on delivering tangible business value and positive user impact through innovative digital solutions.

Collaboration Style:

• Cross-functional Integration: Expect to work closely with Product Managers, Data Scientists, AI Engineers, and Developers, requiring clear communication and shared understanding.

• Process Review & Feedback: A culture that encourages constructive feedback loops within the design team and with other departments to refine designs and processes.

• Knowledge Sharing: Active participation in internal communities, meetups, and training to share insights on AI design trends and best practices.

📝 Enhancement Note: The values emphasize a forward-thinking, collaborative, and user-focused approach, which is critical for a company pushing boundaries in AI and digital transformation.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging the AI Gap: Translating complex, often abstract AI capabilities into intuitive and understandable user experiences.

• Ethical AI Design: Navigating the ethical considerations, biases, and transparency issues inherent in AI technologies.

• Rapidly Evolving Landscape: Keeping pace with the accelerating advancements in AI models, tools, and user expectations.

• Cross-Disciplinary Communication: Effectively communicating design intent and user needs to technical teams (Data Scientists, ML Engineers) and business stakeholders.

Learning & Development Opportunities:

• AI Design Specialization: Becoming a leading expert in AI product design, potentially through dedicated training, conferences, and hands-on project experience.

• Industry Exposure: Working with a diverse range of clients and industries, gaining broad experience in applying AI to different business problems.

• Mentorship Programs: Opportunities to be mentored by senior design leaders or to mentor junior team members on AI design.

• Skill Enhancement: Access to training programs and meetups to continuously update skills in design, AI, and related technologies.

📝 Enhancement Note: The primary challenges revolve around the inherent complexity and novelty of AI, requiring continuous learning and strong communication skills. The growth opportunities are significant for those who can master this specialized domain.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered feature. What was the challenge, your process, and the outcome?" (Focus on demonstrating your AI design thinking and problem-solving).

• "How would you approach designing a conversational AI interface for [specific industry/use case]? What are the key considerations?" (Assess your understanding of conversational design principles and AI limitations).

• "How do you ensure that AI experiences are transparent, explainable, and trustworthy for users?" (Evaluate your grasp of AI ethics and user trust). Company & Culture Questions:

• "What interests you about NEXTON's approach to combining consulting, factory, and ESN?" (Show your understanding of their business model).

• "How do you typically collaborate with Data Scientists or Machine Learning Engineers?" (Highlight your cross-functional teamwork skills).

• "What are your thoughts on the future of AI in product design, and how do you stay updated?" (Demonstrate your passion and continuous learning). Portfolio Presentation Strategy:

• Structure: For each AI project, clearly outline: Problem -> Your Role -> Process -> Solution -> Impact.

• Visuals: Use clear, high-fidelity mockups, prototypes, and user journey maps.

• Narrative: Tell a story about the user's problem and how your AI-driven solution addressed it effectively.

• Q&A: Be ready to answer detailed questions about your design decisions, the AI aspects, and the trade-offs you made.

📝 Enhancement Note: Interview preparation should heavily focus on AI-specific design challenges and demonstrating your ability to translate complex technology into user-friendly solutions through concrete project examples.

📌 Application Steps

To apply for this Product Designer IA position:

• Submit your application through the provided link on SmartRecruiters.

• Tailor your CV and Cover Letter: Highlight your 5+ years of product design experience, specifically emphasizing any work with AI, generative AI, conversational interfaces, or complex digital products. Use keywords from the job description.

• Prepare your Portfolio: Ensure your portfolio prominently features AI-related projects. Be ready to present 2-3 case studies in detail, focusing on your process, challenges, and outcomes.

• Research NEXTON: Understand their client base, their positioning as a consulting/factory/ESN firm, and their focus on digital innovation. This will help tailor your answers and demonstrate genuine interest.

• Practice Interview Scenarios: Prepare for technical questions about AI design, behavioral questions about collaboration, and be ready to articulate your design strategy for AI-driven products.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions based on the provided data. All details should be verified directly with the hiring organization before making application decisions.