Product Designer

📍 Job Overview

Job Title: Product Designer

Company: MDOTM

Location: Milano, Italy

Job Type: Full-Time

Category: Product Design / UX/UI

Date Posted: April 30, 2026

Experience Level: Mid-Level (2-5 Years)

Remote Status: Hybrid

🚀 Role Summary

• This role focuses on translating complex AI-driven investment solutions into intuitive and user-friendly digital interfaces, requiring a strong blend of UX research and high-fidelity UI design.

• You will be instrumental in developing and maintaining a scalable Design System, ensuring consistency and efficiency across product development cycles.

• The position demands a deep understanding of systemic product design, treating features as integrated components of a larger ecosystem rather than standalone elements.

• A key aspect of this role involves transforming intricate AI-generated data into clear, actionable, and visually appealing data visualizations for client decision-making.

📝 Enhancement Note: The raw job description indicates a "Product Designer" role within a fintech company specializing in AI-driven investment solutions. Given the emphasis on "translating complex AI complexity into simple, effective interfaces and stunning data visualizations," and the requirement for end-to-end design ownership, this role is categorized under Product Design with a strong UX/UI and Data Visualization focus. The AI-derived experience level of "2-5 years" suggests a mid-level position.

📈 Primary Responsibilities

• Lead the entire design lifecycle for new product features, from initial ideation and in-depth UX research through to interactive prototyping, rigorous usability testing, and final production handoff.

• Architect and implement design solutions with a systemic approach, ensuring new features integrate seamlessly into the existing product ecosystem and contribute to a unified user experience.

• Actively contribute to the evolution and maintenance of the company's Design System, fostering a shared language between design and engineering to enhance consistency, scalability, and development speed.

• Develop sophisticated yet accessible data visualizations that effectively communicate complex AI-driven insights, empowering clients to make informed investment decisions.

• Proactively research and integrate emerging technologies and industry trends, such as new AI interaction patterns and advanced prototyping tools, into design workflows and product features.

• Serve as a dedicated user advocate by conducting user interviews, surveys, and A/B tests, and by maintaining user journey maps and personas to inform product development.

• Foster strong, daily collaboration with product managers and developers, acting as a critical liaison to ensure technical feasibility while pushing design innovation.

• Design the underlying UX logic, meticulously managing state changes, edge cases, and user flows that are fundamental to the product's core functionality and utility.

📝 Enhancement Note: The raw description provides a comprehensive list of responsibilities. These have been rephrased for clarity and to incorporate relevant operations and product development keywords such as "design lifecycle," "systemic approach," "design system evolution," "data visualizations," "emerging technologies," "user advocate," "technical feasibility," and "UX logic."

🎓 Skills & Qualifications

Education: Bachelor’s degree in Graphic Design, Interaction Design, Human-Computer Interaction, or a related design discipline.

Experience: 2-5 years of progressive experience in product design, with a demonstrated history of successfully bringing digital products from concept to launch.

Required Skills:

• Expert proficiency in Figma for wireframing, UI design, prototyping, and collaboration.

• Proven ability to conduct comprehensive UX research, including user interviews, usability testing, and persona development.

• Strong skills in creating interactive prototypes and wireframes to rapidly test and iterate on design concepts.

• Demonstrable experience in designing for complex systems and ensuring scalability through design.

• Ability to translate intricate data into clear and effective data visualizations.

• Excellent communication and interpersonal skills, with the ability to articulate design decisions and collaborate effectively with technical and non-technical stakeholders.

• High level of English proficiency (written and spoken).

• Deep empathy for users and a strong user-centric design mindset.

Preferred Skills:

• Prior experience designing for AI-based platforms or within the FinTech industry.

• Advanced knowledge of data visualization principles and experience with relevant libraries or charting tools for complex financial data.

• Familiarity with AI-driven design processes and integrating AI tools into design workflows.

• Experience in UX copywriting, crafting clear and consistent UI text to enhance user experience.

• Understanding of design system principles and practical experience in contributing to or maintaining one.

📝 Enhancement Note: The "Must-have" and "Nice-to-Have" skills from the original description have been organized into Required and Preferred categories for better clarity. The experience level was inferred from the AI-generated "2-5" years. Specific operations-relevant keywords like "UX research," "UI design," "prototyping," "data visualization," "design systems," and "technical feasibility" have been integrated.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end product design projects, highlighting your process from research to final UI.

• Demonstrations of how you have translated complex problems into elegant and intuitive design solutions, with a focus on user experience.

• Examples of your work on scalable design systems or components that promote consistency and efficiency.

• Case studies illustrating your ability to create effective data visualizations that inform user decisions.

Process Documentation:

• Showcase your approach to UX research methodologies, including user interviews, usability testing, and journey mapping.

• Detail your process for creating and iterating on interactive prototypes and wireframes.

• Illustrate your contribution to or creation of design systems, emphasizing how they improve development velocity and product consistency.

• Provide examples of how you've applied design thinking principles to solve complex functional challenges within a product.

📝 Enhancement Note: This section has been tailored to a Product Designer role, emphasizing the importance of a design portfolio. The content focuses on demonstrating design process, system thinking, data visualization skills, and collaborative capabilities, which are crucial for a designer working with complex AI/FinTech products.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for Product Designers with 2-5 years of experience in Milan, Italy, the estimated annual salary range is €45,000 - €65,000. This estimate considers the cost of living in Milan, the company's focus on advanced technology (AI/FinTech), and the competitive nature of design roles in tech.

Benefits:

• Competitive salary package.

• Truly flexible work environment, supporting work-life balance.

• Unlimited learning and development budget, fostering continuous skill enhancement in AI research and design.

• Fast-track career progression opportunities, with potential pathways into technical leadership or principal research roles.

• Collaboration within an ultra-international team comprising over 18 nationalities across Milan, London, and New York offices.

• Annual company retreat at a unique location, promoting team bonding and company culture.

• Opportunities to work on cutting-edge AI-driven investment solutions.

Working Hours: Standard full-time working hours, with an emphasis on flexibility, likely around 40 hours per week, allowing for adaptable scheduling within the hybrid work model.

📝 Enhancement Note: A salary range has been estimated for Milan, Italy, based on the specified experience level and industry. The benefits listed in the original description have been expanded to highlight their relevance to a design professional in a technology-focused company. The working hours have been inferred from standard full-time expectations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) / FinTech (Financial Technology), specifically focusing on AI-driven investment solutions. MDOTM operates at the intersection of cutting-edge technology and financial services, aiming to revolutionize investment strategies through AI.

Company Size: MDOTM is a growing international company, likely falling into the Small to Medium-sized Enterprise (SME) category with a significant global footprint (offices in London, Milan, New York) and an "ultra-international team" (18+ nationalities). This suggests a dynamic, collaborative, and fast-paced environment where individual contributions are highly visible and impactful.

Founded: Founded in 2015, MDOTM has established itself as a leader in AI-driven investment solutions, gaining recognition from Google for its acceleration program in Silicon Valley. This history indicates a strong foundation in innovation and a proven track record in a highly competitive tech sector.

Team Structure:

• The Product Design function is likely integrated within cross-functional product teams, working closely with Product Managers, Developers, and potentially AI Researchers.

• Reporting structures may vary, but designers typically report to a Head of Product, Design Lead, or a similar managerial role overseeing product development.

Methodology:

• Data-driven decision-making is paramount, especially given the AI and FinTech focus. Design choices will likely be informed by user research, A/B testing, and performance metrics.

• A systemic approach to design is emphasized, focusing on building scalable components and ensuring seamless integration within the broader product ecosystem.

• Continuous learning and adaptation are key, given the rapidly evolving nature of AI and FinTech.

Company Website: https://mdotm.ai

📝 Enhancement Note: Information from the "About MDOTM" section and LinkedIn company data (implied by the structured output format) has been used to flesh out the company context, culture, and team structure. The operations implications for a designer are highlighted, such as the need for data-driven approaches and cross-functional collaboration.

📈 Career & Growth Analysis

Operations Career Level: This Product Designer role is positioned at a mid-level (2-5 years of experience). It requires end-to-end ownership of features, contribution to a design system, and close collaboration with engineering, indicating significant responsibility beyond junior roles. The emphasis on translating complex AI into simple interfaces suggests a need for seasoned problem-solving skills.

Reporting Structure: The designer will likely report to a Design Lead or Head of Product, working within cross-functional product teams. This structure encourages direct collaboration with PMs and Engineers, fostering a holistic product development approach.

Operations Impact: The Product Designer's impact is directly tied to the usability, accessibility, and effectiveness of MDOTM's AI-driven investment solutions. By creating intuitive interfaces and clear data visualizations, the designer directly influences client understanding, decision-making, and ultimately, adoption and satisfaction with MDOTM's proprietary AI technology. This role is crucial for bridging the gap between complex AI capabilities and real-world user value.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI interaction design, advanced data visualization, or FinTech UX.

• Leadership Path: Progress to Senior Product Designer, Lead Product Designer, or Head of Design roles, potentially managing a team and setting design strategy.

• Cross-Functional Mobility: Develop strong product management or technical understanding, potentially leading to roles in product strategy or even research leadership within AI.

• Continuous Learning: Leverage the "unlimited learning and development budget" for courses, conferences, and certifications to stay at the forefront of design and AI trends.

📝 Enhancement Note: This analysis focuses on how a Product Designer role fits into the broader operational and career landscape within a tech company. It highlights the impact on business outcomes and outlines potential career progression paths, integrating keywords like "product development approach," "design strategy," and "skill specialization."

🌐 Work Environment

Office Type: MDOTM maintains international offices in London, Milan, and New York, suggesting a modern, collaborative workspace designed to accommodate a global, hybrid workforce. The emphasis on an "ultra-international team" points towards an environment that values diversity and cross-cultural exchange.

Office Location(s): The specific office in Milan is located in a metropolitan area (20122), likely offering good accessibility via public transport and proximity to business hubs. This facilitates in-person collaboration for hybrid workdays.

Workspace Context:

• The workspace is designed to foster collaboration, with designers working closely with PMs and engineers. This implies an open or semi-open office layout conducive to quick discussions and brainstorming sessions.

• Access to modern design tools and technology is a given, with Figma being a primary requirement. The company likely invests in the necessary hardware and software to support cutting-edge design work.

• Opportunities for interaction with a diverse, international team are abundant, providing exposure to different perspectives and working styles.

Work Schedule: The role offers a "truly flexible work environment" within a hybrid model. While standard full-time hours (approx. 40 hours/week) are expected, employees likely have autonomy in structuring their workdays and managing their time, balancing office presence with remote work. This flexibility is beneficial for deep work and accommodating different time zones within the international team.

📝 Enhancement Note: The description of the work environment focuses on the practical aspects for a designer in a hybrid, international setting, emphasizing collaboration, technology access, and flexible scheduling, which are key considerations for operations professionals.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess your experience, skills (especially Figma proficiency), and alignment with the role's requirements.

• Design Challenge/Portfolio Presentation: You will likely be asked to present your portfolio, detailing 1-2 key projects. This may include a specific design challenge to assess your problem-solving approach, UX methodology, and ability to translate complex requirements into design solutions. Expect to discuss your process, rationale, and how you handled technical constraints or user feedback.

• Cross-functional Interviews: Discussions with Product Managers and Engineers to evaluate your collaboration skills, technical understanding, and ability to work within a development team. Questions may focus on your experience with design systems, technical feasibility, and translating AI complexity.

• Final Interview: Potentially with a senior leader (e.g., Head of Product, CEO) to assess cultural fit, strategic thinking, and long-term potential.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your end-to-end design process, complex problem-solving skills, and experience with data visualization or AI-related interfaces.

• Tell a Story: For each project, clearly articulate the problem, your role, the process you followed (research, ideation, prototyping, testing), the challenges you faced, and the impact of your design. Use visuals effectively.

• Highlight Systemic Thinking: Emphasize how you approached design as a scalable system and contributed to or utilized a design system.

• Demonstrate Data Visualization Skills: If applicable, showcase specific examples of how you translated complex data into clear, actionable visualizations.

• Explain Technical Collaboration: Be ready to discuss how you collaborated with engineers, ensuring technical feasibility and a smooth handoff.

• Quantify Impact: Whenever possible, use metrics or user feedback to demonstrate the success and impact of your designs.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with AI-driven investment solutions and common challenges in FinTech UX.

• Practice Problem-Solving: Be prepared to tackle a hypothetical design problem, outlining your steps from understanding the brief to proposing a solution. Focus on your thought process and justification.

• Design System Thinking: Consider how you would approach building or contributing to a design system in a fast-paced tech environment.

• Data Visualization Scenarios: Think about how you would visualize specific types of financial or AI-generated data for different user segments.

📝 Enhancement Note: This section provides tactical advice tailored to a Product Designer interview process, focusing on portfolio presentation, design challenges, and the specific nuances of interviewing in a tech/FinTech environment with an AI focus.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Expert proficiency is a mandatory requirement. This will be used for all aspects of design, from wireframing and UI design to interactive prototyping and component management within the design system.

• Prototyping Tools: Beyond Figma's capabilities, experience with other advanced prototyping tools might be beneficial for complex interactions or specific testing scenarios.

• Design System Management Tools: Experience with tools that support the creation, documentation, and maintenance of design systems (e.g., Zeroheight, Storybook integrations, or Figma's built-in features).

Analytics & Reporting:

• User Analytics Platforms: Familiarity with tools like Google Analytics, Amplitude, Mixpanel, or similar, to understand user behavior and measure the impact of design changes.

• A/B Testing Tools: Experience with platforms that facilitate A/B testing of design variations to optimize user flows and conversion rates.

CRM & Automation:

• While not a primary design tool, an understanding of how design integrates with CRM systems (like Salesforce, HubSpot) and marketing automation platforms can be beneficial for context, especially regarding lead generation or user onboarding flows.

• Collaboration & Project Management: Tools such as Jira, Asana, Trello, or Slack for managing design tasks, tracking progress, and communicating with cross-functional teams.

📝 Enhancement Note: This section details the expected technology stack for a Product Designer, with a strong emphasis on Figma as the core tool. It also includes related tools for analytics, collaboration, and system integration, crucial for understanding the broader product development environment.

👥 Team Culture & Values

Operations Values:

• Innovation & Cutting-Edge Technology: A drive to be at the forefront of AI and FinTech, constantly exploring new solutions and pushing technological boundaries.

• User-Centricity: A deep commitment to understanding and serving user needs, translating complex technology into accessible and valuable experiences.

• Data-Driven Decision Making: Relying on research, testing, and analytics to inform design choices and measure impact.

• Collaboration & Transparency: Fostering an open environment where ideas are shared freely across teams and disciplines, with clear communication as a cornerstone.

• Ownership & Accountability: Empowering individuals to take ownership of their work and contribute meaningfully to the company's success.

Collaboration Style:

• Cross-functional Integration: Designers are expected to be integral members of product teams, working hand-in-hand with Product Managers and Engineers throughout the development lifecycle.

• Agile & Iterative: A flexible and adaptive approach to design and development, embracing iterative improvements based on feedback and data.

• Knowledge Sharing: Encouraging the exchange of insights, best practices, and learnings across the diverse international team to foster collective growth and innovation.

• Constructive Feedback: A culture that values constructive criticism and open dialogue to refine designs and processes.

📝 Enhancement Note: This section extrapolates likely cultural values and collaboration styles for a tech-forward company like MDOTM, focusing on how these values would manifest in the daily work of a Product Designer. Keywords like "data-driven," "user-centric," and "cross-functional integration" are emphasized.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating AI Complexity: The primary challenge is simplifying highly sophisticated AI algorithms and data into understandable and actionable interfaces for users who may not be AI experts.

• Data Visualization Efficacy: Designing visualizations that are not only aesthetically pleasing but also accurately and effectively convey complex financial and AI-derived data to drive informed decisions.

• Systemic Design Scalability: Ensuring that design decisions and components are part of a scalable system that can accommodate future growth and feature expansion without compromising consistency or performance.

• Rapid Technological Evolution: Staying abreast of and integrating new AI capabilities, design tools, and interaction patterns in a fast-moving technological landscape.

Learning & Development Opportunities:

• Specialized Training: Access to an unlimited budget for courses, workshops, and certifications in advanced UX, data visualization, AI design principles, or FinTech.

• Industry Exposure: Opportunities to attend relevant conferences and events to network and learn about the latest trends in AI, FinTech, and design.

• Mentorship & Leadership: Potential to be mentored by senior design or product leaders, with clear pathways for growth into technical leadership, management, or principal research roles.

• Cross-Disciplinary Learning: Direct exposure to AI research and financial strategy through close collaboration with specialized teams.

📝 Enhancement Note: This section addresses potential challenges specific to designing for AI in FinTech and highlights how MDOTM's stated benefits (like the learning budget) translate into concrete growth opportunities for a Product Designer.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to translate a highly complex technical concept into a simple user interface. What was your process, and what was the outcome?" (Focus on your research, simplification techniques, and impact metrics.)

• "How do you approach designing data visualizations for complex datasets? Walk us through an example from your portfolio." (Highlight your understanding of data storytelling, chart types, and user comprehension.)

• "Imagine you need to design a new feature for our AI-driven investment platform. How would you start, considering user needs, technical constraints, and our existing design system?" (Demonstrate your end-to-end process, systemic thinking, and collaborative approach.)

Company & Culture Questions:

• "What interests you about MDOTM's AI-driven investment solutions, and how do you see design playing a role in their success?" (Showcase your research into the company and its domain.)

• "Our team is highly international. How do you adapt your communication and collaboration style when working with diverse global teams?" (Highlight your cross-cultural communication skills and adaptability.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your specific role and contributions, your design process (research, ideation, prototyping, testing), key decisions and rationale, challenges overcome, and the final impact/results.

• Emphasize Collaboration: Be ready to discuss how you worked with engineers and product managers, your approach to feedback, and how you ensured technical feasibility.

• Showcase Data Visualization: If relevant, dedicate time to explaining your approach to data visualization, focusing on clarity, accuracy, and user utility.

• Highlight Systemic Design: Explain how your work contributes to or maintains a design system, emphasizing consistency and scalability.

• Prepare for Questions: Anticipate questions about your design choices, alternative solutions you considered, and how you would handle specific scenarios in MDOTM's context.

📝 Enhancement Note: This section provides specific, actionable advice for preparing for interviews at MDOTM, focusing on common question types for a Product Designer role in AI/FinTech and emphasizing the importance of showcasing process, collaboration, and impact.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on the MDOTM careers page.

• Portfolio Customization: Tailor your portfolio to highlight projects demonstrating end-to-end product design, complex problem-solving, data visualization, and systemic design thinking. Prioritize examples relevant to AI or FinTech if available.

• Resume Optimization: Ensure your resume clearly articulates your experience with Figma, UX research, UI design, prototyping, and collaboration with cross-functional teams. Quantify achievements where possible.

• Interview Preparation: Practice presenting your portfolio, focusing on storytelling and detailing your design process. Prepare to discuss specific case studies and articulate your rationale for design decisions. Be ready for potential design challenges.

• Company Research: Thoroughly research MDOTM's AI-driven investment solutions, its market position, and its company culture. Understand their approach to technology and user experience.

⚠️ 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.

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