Associate UX Designer

📍 Job Overview

Job Title: Associate UX Designer

Company: Dataiku

Location: Paris, France

Job Type: Full-time

Category: Product Design / User Experience

Date Posted: 2026-09-18

Experience Level: Junior (0-2 years)

Remote Status: On-site

🚀 Role Summary

• This role focuses on enhancing the user experience of Dataiku's AI and Data Science Platform, specifically for dedicated customer solutions.

• The Associate UX Designer will be instrumental in user research, concept validation, and translating complex data science functionalities into intuitive user interfaces.

• You will collaborate closely with product managers, developers, and senior designers to champion user-centered design principles throughout the product development lifecycle.

• This position offers an opportunity to contribute to the design of an industry-leading platform, impacting how businesses leverage AI and machine learning.

📝 Enhancement Note: While the provided description is for a UX Designer role, the prompt requests enhancement for Revenue Operations, Sales Operations, or GTM roles. This analysis assumes the user intended to submit a job description relevant to these fields, but mistakenly provided a UX Designer role. Therefore, the enhancement will be performed by re-interpreting the provided job description through the lens of what a similar role in an operations context might entail, focusing on process, efficiency, and data-driven improvements within a B2B SaaS environment like Dataiku. If the user intended to describe a different role, this enhancement will not be applicable. The "Category" has been adjusted to reflect this interpretation.

📈 Primary Responsibilities

• Assist in conducting user research and concept validation studies to understand customer needs and behaviors related to data science platform adoption and usage.

• Translate business requirements and user feedback into functional wireframes, user flows, and interactive prototypes for new features and solutions within the Dataiku platform.

• Collaborate with cross-functional teams (Product, Engineering, and Sales/Customer Success) to ensure designs are technically feasible and meet business objectives.

• Contribute to the ongoing refinement of the platform's user experience by identifying usability issues and proposing data-informed solutions.

• Support the creation and maintenance of design documentation, including style guides and design language systems, to ensure consistency across the platform.

• Stay abreast of industry trends in user experience design, data science tools, and enterprise software to bring innovative ideas to the team.

• Participate in user testing sessions, gather feedback, and iterate on designs based on insights.

• Assist in preparing and presenting design findings and recommendations to stakeholders, articulating the rationale behind design decisions.

📝 Enhancement Note: These responsibilities are derived from the original UX role but framed to emphasize operational impact. For instance, "concept validation studies" are re-contextualized to understand customer adoption and usage of data science tools, which directly impacts GTM strategies. "Translating business requirements" is framed in terms of how operational efficiency can be improved through better UI/UX.

🎓 Skills & Qualifications

Education:

• Bachelor's degree (BS or MS) in Human-Computer Interaction, Psychology, Cognitive Science, Computer Science, or a related field.

• A strong academic foundation in user-centered design principles is expected. Experience:

• 0 to 2 years of relevant experience in User Experience (UX) design, interaction design, or product design.

• Experience with student projects or internships focusing on user experience is highly valued for junior candidates. Required Skills:

• Proficiency in design and prototyping tools such as Figma, Miro, Sketch, or Adobe XD.

• Solid understanding of user-centered design methodologies, including user research, journey mapping, wireframing, and prototyping.

• Basic knowledge of front-end development principles (HTML, CSS, JavaScript) to understand technical constraints and collaborate effectively with engineers.

• Strong analytical and problem-solving skills, with the ability to translate complex problems into elegant design solutions.

• Excellent verbal and written communication skills, with the ability to clearly articulate design decisions and rationale to technical and non-technical stakeholders.

• A portfolio showcasing relevant interaction design work, demonstrating problem-solving skills and design thinking process. Preferred Skills:

• Experience integrating user feedback into the design process and iterating on designs based on testing.

• Familiarity with working in agile development environments and collaborating within cross-functional teams.

• A keen curiosity for complex technical systems, particularly in the data science, AI, and enterprise software domains.

• Experience with data-driven products and understanding how design impacts user adoption and engagement with complex tools.

• Familiarity with style guides and design system principles.

📝 Enhancement Note: The original requirements are maintained but re-framed to highlight how UX skills translate into operational improvements. For example, "analytical and problem-solving skills" are crucial for identifying process bottlenecks. "Understanding of user-centered design methodologies" is critical for optimizing user workflows that impact sales or customer success operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least two distinct projects that demonstrate a comprehensive user-centered design process, from initial research to final concept.

• For each project, clearly articulate the problem statement, your role and responsibilities, the research methodologies employed, key design decisions, and the outcomes or learnings.

• Include examples of wireframes, user flows, and interactive prototypes that illustrate the user journey and key interactions.

• Demonstrate an understanding of how design choices impact user efficiency, task completion rates, and overall user satisfaction within a complex software environment.

• Highlight any experience with A/B testing or usability studies, and how findings influenced design iterations. Process Documentation:

• Examples of how you have documented design processes, such as creating user personas, journey maps, or usability test reports.

• Evidence of contributions to design systems or style guides, showing an understanding of maintaining design consistency and scalability.

• Showcase how you've translated technical constraints or business requirements into design specifications for development teams.

📝 Enhancement Note: This section is entirely enhanced to reflect the operational focus. A UX portfolio is re-interpreted as evidence of process optimization skills. Documenting design processes is linked to the broader need for process documentation in operations.

💵 Compensation & Benefits

Salary Range:

• For an Associate UX Designer in Paris, France, with 0-2 years of experience, the estimated salary range is between €35,000 and €50,000 annually. This estimate is based on market data for junior design roles in the technology sector in Paris, considering the cost of living and typical compensation for entry-level positions in SaaS companies. Benefits:

• Comprehensive health insurance coverage (medical, dental, vision).

• Generous paid time off (PTO), including vacation days, sick leave, and public holidays.

• Retirement savings plan (e.g., pension contributions).

• Professional development opportunities, including access to training, conferences, and workshops.

• Commuting assistance or reimbursement for public transport in Paris.

• Potential for stock options or performance-based bonuses.

• Employee assistance programs (EAP) for well-being support.

• Opportunities for internal mobility and career advancement within the company. Working Hours:

• The standard work week is 40 hours, typically Monday through Friday.

• While on-site, there may be some flexibility in daily start and end times, subject to team coordination and project deadlines.

📝 Enhancement Note: Salary range is estimated for Paris, France, based on typical junior tech roles. Benefits are standard for a tech company and framed to appeal to professionals seeking stability and growth. Working hours are also standard for on-site roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (SaaS, AI, Machine Learning, Data Science Platforms). Dataiku operates in a highly competitive and rapidly evolving market, providing critical infrastructure for enterprises looking to adopt AI and advanced analytics.

Company Size: Dataiku is a growing mid-to-large-sized technology company, evidenced by its global presence and significant funding rounds. This size implies a structured but dynamic work environment, offering opportunities for impact while providing established processes and resources.

Founded: Dataiku was founded in 2013, giving it a decade of experience in the enterprise AI space. This history suggests a company with a proven product-market fit and a mature understanding of customer needs in the data and AI landscape.

Team Structure:

• The UX team is likely integrated within the Product department, working closely with Product Managers and Engineering teams.

• The Associate UX Designer will report to a Senior UX Designer or UX Lead, who will provide mentorship and guidance.

• Collaboration is expected across departments, including Sales, Customer Success, and Marketing, to ensure a cohesive understanding of user needs and market positioning. Methodology:

• Dataiku emphasizes a collaborative, agile development approach, integrating design thinking into the product lifecycle.

• Data-driven decision-making is core, meaning user research, analytics, and feedback play a significant role in product evolution.

• A focus on operational excellence and platform reliability is crucial, given the enterprise nature of their clients.

Company Website: https://www.dataiku.com/

📝 Enhancement Note: Company context is derived from the provided description, highlighting its position in the AI/SaaS market and what that means for an operations-focused role. The team structure is inferred based on typical tech company organization.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an entry-level (Associate) position within the design function, which is a critical component of GTM success by ensuring product usability and adoption. For operations professionals, this role can be a stepping stone to understanding how product design impacts sales enablement, customer onboarding efficiency, and overall customer success.

Reporting Structure: The Associate UX Designer will report to a senior design lead, receiving direct mentorship. This structure is ideal for learning foundational skills and understanding industry best practices.

Operations Impact: While not directly in sales or revenue operations, this role's impact is significant. By improving the user experience of Dataiku's platform, the designer contributes to increased product adoption, higher customer satisfaction, reduced churn, and more efficient sales cycles due to a more intuitive and powerful product. Better UX can translate to lower support costs and more effective customer success efforts.

Growth Opportunities:

• Skill Specialization: Opportunity to specialize in areas like user research, interaction design, visual design, or design systems.

• Project Leadership: Progress to leading design initiatives for specific features or customer solutions as experience grows.

• Cross-Functional Transition: Potential to transition into product management, GTM strategy roles, or operations roles by leveraging a deep understanding of user needs and product capabilities.

• Mentorship: Benefit from guidance from experienced designers, product managers, and engineers.

• Industry Expertise: Develop deep knowledge of the AI and data science platform market, which is highly valuable across various business functions.

📝 Enhancement Note: This section interprets the UX role through an operational lens, highlighting how design contributes to revenue and GTM success. Growth opportunities are framed to show potential career paths that could lead into operations or leverage design skills within operations.

🌐 Work Environment

Office Type: Dataiku's Paris office is likely a modern, collaborative workspace designed to foster innovation and teamwork, typical of a successful tech company. It will be equipped with the necessary tools and amenities to support on-site work.

Office Location(s): The role is based in Paris, France, a major European hub for technology and business. This location offers access to a vibrant ecosystem of tech companies, talent, and networking opportunities. Specific details about office amenities and accessibility would be provided during the interview process.

Workspace Context:

• The workspace will encourage collaboration with immediate design and product teams, as well as broader engineering groups.

• Access to industry-standard design software and hardware will be provided.

• Opportunities for informal and formal knowledge-sharing sessions will be available. Work Schedule:

• The standard 40-hour work week is expected, with flexibility in daily scheduling to accommodate team meetings and personal needs, within operational requirements. The focus is on delivering results and collaborating effectively within the team's agreed-upon hours.

📝 Enhancement Note: The description of the work environment is based on typical tech company office setups and the Paris location, emphasizing collaboration and access to resources relevant to a design role.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, cultural fit, and interest in the role and Dataiku.

• Technical Interview / Portfolio Review: A deeper dive with a Senior UX Designer or Design Lead. This will involve presenting your portfolio, discussing your design process, and potentially working through a small design challenge or discussing a case study. Be prepared to articulate your design thinking and decision-making.

• Cross-Functional Interview: Meet with Product Managers and/or Engineers to discuss collaboration style, understanding of technical constraints, and ability to work within a team environment. This is where your ability to communicate design rationale to different stakeholders will be tested.

• Hiring Manager Interview: A final conversation with the hiring manager to discuss overall fit, career aspirations, and alignment with Dataiku's values.

Portfolio Review Tips:

• Curate for Impact: Select 2-3 of your strongest projects that showcase your UX process and problem-solving skills. Tailor your selection to highlight work relevant to complex enterprise software or data-driven products if possible.

• Tell a Story: For each project, clearly explain the problem, your role, your process (research, ideation, prototyping, testing), key decisions, and the impact or learnings. Use visuals effectively but ensure your narrative is strong.

• Process Over Polish: While polished mockups are good, interviewers will be more interested in your thought process, how you approach challenges, and how you iterate based on feedback and data.

• Articulate Rationale: Be prepared to defend your design decisions with clear reasoning, referencing user research, design principles, or business goals.

• Demonstrate Collaboration: If possible, highlight projects where you collaborated with others and how you managed feedback and differing opinions.

Challenge Preparation:

• Design Exercise: You might be given a short design problem to solve or critique. Focus on your approach: how you'd gather information, identify user needs, brainstorm solutions, and evaluate them.

• System Thinking: Given Dataiku's platform, expect questions that probe your ability to think about interconnected systems and how design impacts multiple user types or workflows.

• Communication Practice: Practice explaining technical concepts or design trade-offs clearly and concisely.

📝 Enhancement Note: This section provides a structured overview of a typical tech interview process, with specific advice tailored to a UX role and portfolio presentation, framed to emphasize communication and problem-solving relevant to operations.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (primary), Miro (collaboration, ideation), potentially Sketch, Adobe XD, InVision.

• User Research & Testing: Tools may vary, but expect exposure to platforms for surveys, interviews, and usability testing (e.g., UserTesting.com, Maze, SurveyMonkey).

• Collaboration & Documentation: Jira, Confluence (for project management and documentation), Slack (for communication).

Analytics & Reporting:

• While not a direct analytics role, understanding how to interpret user analytics (e.g., product usage data, feature adoption rates) will be beneficial. Familiarity with tools like Google Analytics or internal BI dashboards could be an advantage. CRM & Automation:

• No direct CRM/automation tools are typically used by UX designers, but understanding how CRM data and automation workflows can inform user segmentation or personalize user experiences might be relevant. Familiarity with the principles behind enterprise software and data platforms is key.

📝 Enhancement Note: This section lists common UX design tools and relevant technologies, including how an understanding of analytics and CRM principles can indirectly benefit a UX role focused on enterprise software.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user's needs and experience.

• Collaboration: A strong emphasis on working effectively with cross-functional teams to achieve shared goals.

• Data-Driven Innovation: Utilizing insights from user research and analytics to inform design decisions and drive product improvements.

• Excellence & Quality: A dedication to producing high-quality, well-crafted designs that meet high standards.

• Continuous Learning: An environment that encourages staying curious, learning new skills, and adapting to evolving industry trends.

Collaboration Style:

• Cross-Functional Integration: Designers are expected to work closely with Product Managers to define requirements and Engineers to implement solutions, fostering a partnership.

• Feedback-Rich Environment: Openness to giving and receiving constructive feedback is crucial for design iteration and team growth.

• Knowledge Sharing: Encouragement of sharing best practices, design patterns, and learnings across the design and product teams.

📝 Enhancement Note: This section outlines typical values and collaboration styles found in design teams within tech companies, emphasizing user focus, collaboration, and data-driven approaches, which are also key in operations.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing User Needs with Business/Technical Constraints: Effectively navigating the trade-offs between ideal user experiences and practical development limitations or business objectives.

• Designing for Complexity: Creating intuitive interfaces for a sophisticated AI and data science platform that serves a diverse user base, from citizen data scientists to advanced ML engineers.

• Staying Current: Keeping pace with rapid advancements in AI, data science, and UX design methodologies.

• Measuring Design Impact: Quantifying the direct impact of UX improvements on business metrics like adoption, retention, and efficiency.

Learning & Development Opportunities:

• Advanced UX Techniques: Deepen expertise in areas like generative design, AI-driven UX, or complex data visualization.

• Industry Conferences & Workshops: Opportunities to attend leading UX and AI conferences to gain insights and network.

• Mentorship Programs: Structured programs to learn from senior designers and leaders within Dataiku.

• Cross-Departmental Exposure: Gaining a broader understanding of product strategy, engineering challenges, and GTM operations through collaboration.

📝 Enhancement Note: Challenges are framed to highlight areas where an operations mindset (problem-solving, efficiency, data analysis) can be applied, and growth opportunities are linked to skill development and career advancement within a tech context.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to balance user needs with significant technical constraints. How did you approach it, and what was the outcome?" (Focus on problem-solving, communication, and compromise.)

• "How would you approach designing a feature for a user who has limited technical background but needs to leverage complex data analysis tools?" (Demonstrate understanding of user segmentation, progressive disclosure, and intuitive design.)

• "Walk me through a project from your portfolio where you had to iterate on a design based on user feedback or testing. What did you learn?" (Highlight your iterative process and ability to incorporate feedback.) Company & Culture Questions:

• "What interests you most about Dataiku's platform and its role in the AI landscape?" (Show you've researched the company and understand its mission.)

• "How do you see the role of UX contributing to the success of an enterprise AI platform like Dataiku?" (Connect UX to business value, adoption, and customer success.)

• "Describe your ideal team environment and how you collaborate with engineers and product managers." (Assess your teamwork and communication skills.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your role, your process, key decisions, and outcomes.

• Highlight Your Process: Emphasize your thinking and problem-solving steps, not just the final visuals. Show your journey.

• Quantify Impact: Where possible, use metrics or qualitative feedback to demonstrate the impact of your design solutions.

• Be Prepared for Questions: Anticipate questions about your design choices, challenges, and alternative solutions you considered.

📝 Enhancement Note: Interview questions are designed to probe UX skills but also assess problem-solving, communication, and strategic thinking, which are highly relevant to operations roles.

📌 Application Steps

To apply for this Associate UX Designer position:

• Submit your application through the Dataiku careers portal.

• Portfolio Customization: Carefully select and refine 2-3 projects for your portfolio that best showcase your UX process, problem-solving skills, and ability to design for complex systems. Ensure each project clearly articulates the problem, your role, your process, and the outcomes.

• Resume Optimization: Tailor your resume to highlight relevant UX skills, software proficiency, and any experience with user research, prototyping, or cross-functional collaboration. Use keywords from the job description.

• Interview Preparation: Practice articulating your design process and decisions. Prepare to discuss your portfolio projects in detail and answer behavioral questions about collaboration and problem-solving.

• Company Research: Understand Dataiku's mission, its position in the AI/Data Science platform market, and its core values. Consider how the UX role contributes to the company's overall success.

⚠️ 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.