AI Product Designer

📍 Job Overview

Job Title: AI Product Designer

Company: Brainlake Advertising LLC

Location: Milan, Metropolitan City of Milan, Italy

Job Type: CONTRACTOR

Category: Product Design / UX/UI Design

Date Posted: 2026-08-07T14:05:52.329

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

Remote Status: Fully Remote

🚀 Role Summary

• This role is centered on leveraging Artificial Intelligence (AI) as a core component of the product design process, going beyond traditional UX/UI methodologies.

• The AI Product Designer will be responsible for integrating AI tools and techniques throughout the entire design lifecycle, from research synthesis and ideation to UI generation and prototyping.

• A significant emphasis is placed on understanding and designing for AI-powered product experiences, including conversational interfaces, intelligent workflows, and copilots.

• The position requires a strong balance of deep UX fundamentals, exceptional UI taste, and a proactive approach to experimenting with and adopting emerging AI design technologies.

📝 Enhancement Note: The job description explicitly states this is not a traditional UX/UI role with added AI tools. This implies a need for a candidate who is an "AI-first" designer, meaning AI is the primary driver and toolset, not an afterthought. This distinction is crucial for understanding the depth of AI integration expected.

📈 Primary Responsibilities

• Translate complex business requirements, user research findings, and identified user needs into intuitive and effective product experiences, with a particular focus on AI-driven solutions.

• Design comprehensive user journeys, detailed task flows, robust information architecture, functional wireframes, interactive prototypes, and polished, high-fidelity user interfaces.

• Ensure the creation of high-quality UI by meticulously focusing on visual hierarchy, typography, appropriate spacing, seamless interaction design, and consistent visual branding.

• Proactively utilize AI throughout the design process to accelerate and enhance research synthesis, explore novel ideation pathways, conduct UX exploration, generate wireframes, build prototypes, craft compelling content, and drive design iteration cycles.

• Actively experiment with and evaluate emerging AI-powered design tools, continuously developing and implementing more efficient and effective design workflows.

• Demonstrate the ability to rapidly progress from initial concepts or briefs to multiple viable design directions without compromising the overall quality or strategic intent of the design.

• Develop, maintain, and scale comprehensive design systems, including reusable components, established patterns, and foundational elements that support consistent product development.

• Prototype advanced AI-powered product experiences, specifically focusing on areas such as conversational interfaces, AI copilots, intelligent automation workflows, personalized recommendation engines, and adaptive automation solutions.

• Collaborate closely with product management, AI specialists, automation engineers, and software engineering teams to ensure the fidelity and integrity of the designed experience are maintained through the implementation phase.

• Conduct critical reviews of designs and iteratively improve usability, clarity, and overall visual quality based on feedback and performance data.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on "AI-powered product experiences" and "intelligent workflows." This suggests the role will involve designing for features like chatbots, recommendation engines, automated decision support, and personalized user journeys driven by AI, requiring an understanding of these specific interaction paradigms.

🎓 Skills & Qualifications

Education:

• While no specific degree is mandated, a strong foundation in design principles, human-computer interaction, or a related field is implied by the experience requirements and role scope. Experience:

• Minimum of 4+ years of dedicated product design or UX design experience, with a proven track record across both web and mobile product development.

• Demonstrated ability to transform ambiguous problems into logical, user-friendly, and visually appealing product experiences. Required Skills:

• Product Design & UX Expertise: Proven ability to manage the end-to-end design process from concept to execution, focusing on user-centered design principles.

• UI Design Excellence: A genuine appreciation for and demonstrable skill in creating aesthetically pleasing and highly functional user interfaces, with a keen eye for detail.

• Figma Proficiency: Advanced mastery of Figma, including its capabilities in Auto Layout, component creation and variants, interactive prototyping, and the establishment and management of design systems.

• AI Integration in Design: Demonstrated, practical experience in using AI tools and methodologies within the daily design workflow, beyond basic text generation or image creation. This includes using AI for research synthesis, ideation, and rapid prototyping.

• AI-Powered Product Concepts: Understanding of how AI influences product experiences, including concepts like uncertainty, human oversight requirements, explainability of AI decisions, automation potential, and conversational interaction design.

• Rapid Iteration & Exploration: Ability to quickly generate and explore multiple design directions, and a willingness to discard less effective ideas to focus on optimal solutions.

• Detail Orientation: Strong visual judgment and a commitment to high standards of detail in all design outputs.

Preferred Skills:

• Experience with AI Design Tools: Active experimentation and familiarity with a range of AI-powered design, prototyping, research, and product-building tools.

• Conversational UI Design: Experience in designing interfaces for chatbots, voice assistants, or other conversational platforms.

• Intelligent Workflow Design: Experience in mapping out and designing automated or AI-assisted workflows.

• Design System Scalability: Proven ability to build and maintain design systems that can scale across multiple products or features.

• Cross-functional Collaboration: Experience working effectively with product managers, AI/ML engineers, and software developers.

📝 Enhancement Note: The requirement for AI usage beyond "ChatGPT for copy or occasional image generation" is a critical differentiator. Candidates should be prepared to showcase specific AI tools and workflows they've employed for deeper design tasks like generative design exploration, AI-assisted user flow mapping, or AI-driven content generation for interfaces.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a minimum of 4+ years of product or UX design work, with a clear emphasis on AI integration.

• Evidence of strong UX thinking, including problem definition, user research insights, and user journey mapping, with an explanation of how AI informed these stages.

• Demonstrable UI design quality, presenting polished interfaces with attention to hierarchy, typography, spacing, and visual consistency.

• Case studies that specifically highlight the application of AI tools and methodologies in accelerating the design process (e.g., research synthesis, ideation, wireframing, prototyping).

• Examples of designing for AI-powered features, such as conversational interfaces, intelligent recommendations, or automated workflows, detailing the user experience considerations.

• Prototypes created using Figma or other relevant tools, showcasing interactive elements and user flows, with a focus on AI-driven interactions where applicable. Process Documentation:

• Documentation within portfolio case studies should clearly articulate the design process, emphasizing where and how AI tools were integrated at each stage.

• Explain the rationale behind using specific AI tools for research synthesis, ideation, wireframing, and prototyping, and the impact on efficiency and creativity.

• Detail the process of building and maintaining scalable design systems, including component libraries and pattern definitions, and how AI might support or enhance this.

• Showcase the iterative design process, including how AI was used for rapid design exploration and iteration, and how feedback was incorporated.

📝 Enhancement Note: The portfolio is paramount. Candidates must not only show finished products but also clearly articulate their process, especially concerning AI integration. This means detailing the "how" and "why" of AI usage in their design decisions, rather than just presenting the final output.

💵 Compensation & Benefits

Salary Range:

• Given the location (Milan, Italy), the contractor employment type, and the mid-level experience (4+ years with AI expertise), a competitive hourly or daily rate is expected. For a remote contractor role in Italy with this specialization, a range of €50 - €80 per hour or €400 - €640 per day is a reasonable estimate. This range accounts for the specialized AI skill set, the demand for experienced designers, and the cost of living in Milan. Benefits:

• As a contractor, standard employee benefits (health insurance, paid time off, retirement plans) are typically not included.

• Potential benefits may include:

  • Flexible working hours and location (fully remote).

  • Opportunities to work with cutting-edge AI technologies and contribute to innovative product development.

  • Exposure to a dynamic and forward-thinking advertising and technology company.

  • Potential for long-term contract extensions based on performance and project needs.

  • Collaboration with a global, remote team. Working Hours:

• Standard full-time engagement is implied, likely around 40 hours per week.

• The remote nature of the role offers flexibility in scheduling, allowing for adaptation to different time zones within reason, though proximity to the European time zone (CET) might be advantageous for collaboration.

📝 Enhancement Note: Salary has been estimated based on industry benchmarks for remote AI Product Designers in Italy, considering the contractor status and the specialized nature of the role. This estimation considers factors like the demand for AI skills, the cost of living in Milan, and typical contractor rates.

🎯 Team & Company Context

🏢 Company Culture

Industry: Advertising Technology / Digital Marketing. Brainlake Advertising LLC operates at the intersection of advertising, technology, and creative services, likely leveraging AI to enhance advertising campaigns, client insights, and creative output.

Company Size: Not explicitly stated, but "LLC" suggests a potentially growing or established small to medium-sized enterprise. The need for a specialized AI Product Designer indicates a focus on innovation and technology integration.

Founded: Not specified in the provided data.

Team Structure:

• The AI Product Designer will likely be part of a product development or design team, working closely with product managers, AI/ML engineers, automation specialists, and other designers.

• Collaboration will be a key aspect, with a need to interface with various departments to ensure seamless integration of AI-driven designs into client solutions and internal tools.

• The reporting structure is not detailed, but it's likely a flat or matrixed organization common in tech startups or innovative agencies. Methodology:

• Data-Driven Design: Emphasis on using research synthesis and user data, enhanced by AI, to inform design decisions.

• AI-First Approach: Core methodology involves leveraging AI tools and thinking throughout the design process, from ideation to validation.

• Agile Development: Likely follows agile principles, enabling rapid iteration, continuous improvement, and close collaboration with engineering teams.

• Systematic Design: Focus on building scalable design systems and patterns for consistency and efficiency.

Company Website: https://brainlake.com/

📝 Enhancement Note: Based on the company name "Brainlake Advertising LLC" and the role of "AI Product Designer," it's inferred that the company is likely focused on using AI to innovate within the advertising and marketing technology space, aiming to provide cutting-edge solutions for clients.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level to Senior Product Designer, with a strong specialization in AI. The "4+ years" experience requirement points to someone who can work independently, take ownership of design projects, and contribute strategically. The emphasis on AI integration suggests a forward-thinking role that pushes boundaries.

Reporting Structure: The AI Product Designer will likely report to a Head of Product, Design Lead, or a Senior Product Manager overseeing AI initiatives. Close collaboration with AI/ML engineers and product teams is expected, indicating a cross-functional reporting or working relationship.

Operations Impact: The AI Product Designer's impact will be significant, directly influencing the usability, effectiveness, and innovation of AI-powered products and services. This role is crucial for translating complex AI capabilities into tangible user experiences that drive client success and competitive advantage for Brainlake Advertising.

Growth Opportunities:

• Specialization Deepening: Opportunity to become a recognized expert in AI-driven product design, leading to more advanced and specialized projects.

• Leadership Potential: With demonstrated success, there's potential to move into a Senior AI Product Designer role, lead design initiatives, or mentor junior designers.

• Skill Expansion: Continuous learning and experimentation with new AI tools and design methodologies, staying at the forefront of the industry.

• Strategic Contribution: Influence product strategy and roadmap by providing insights into AI-driven design possibilities and user adoption trends.

• Portfolio Enhancement: Building a portfolio of cutting-edge AI-powered product designs that can open doors to future opportunities in a rapidly evolving field.

📝 Enhancement Note: The "operations" terminology in the prompt is being interpreted in the broader sense of "how the business operates" and how this role contributes to operational efficiency and product delivery, rather than strictly Revenue Operations or Sales Operations. The focus is on the operational aspects of product design and AI integration.

🌐 Work Environment

Office Type: This is a fully remote position, offering the flexibility of working from any location within Italy.

Office Location(s): While the role is remote, the company is based in Milan, Italy. Candidates residing in or near Milan might have opportunities for occasional in-person collaboration if desired or required, though the primary mode of work is remote.

Workspace Context:

• Remote Collaboration: Expect to work primarily through digital collaboration tools, video conferencing, and asynchronous communication channels.

• Tools & Technology: Access to industry-standard design software (Figma), AI design tools, project management platforms, and communication suites.

• Autonomy & Self-Management: The remote, contractor nature of the role requires a high degree of self-discipline, time management, and proactive communication.

Work Schedule:

• Approximately 40 hours per week, with flexibility in scheduling to accommodate the remote setup and potential collaboration across different time zones.

• The focus will be on deliverables and project milestones rather than strict adherence to a 9-to-5 schedule.

📝 Enhancement Note: The "remote solely" nature implies no requirement to visit a physical office, maximizing flexibility for the contractor. However, proximity to Italy or Europe might be beneficial for time zone alignment during core working hours.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call to assess basic qualifications, experience level, and understanding of the role's AI focus.

• Portfolio Review & Technical Interview: Deep dive into the candidate's portfolio, focusing on case studies demonstrating AI integration, UX/UI expertise, and problem-solving skills. Expect questions about specific design choices, AI tools used, and design outcomes.

• Skills Assessment/Design Challenge: A practical exercise, potentially involving a design problem that requires an AI-first approach, or a critique of an existing AI-driven interface. This may be a take-home assignment or a live exercise.

• Team/Hiring Manager Interview: Discussion about cultural fit, collaboration style, and how the candidate would contribute to the team's AI initiatives.

Portfolio Review Tips:

• Highlight AI Integration: Clearly showcase how AI was used in your design process for research, ideation, prototyping, or content generation. Use specific examples and mention the tools.

• Demonstrate UX & UI Strength: Ensure your portfolio exhibits strong UX thinking (problem-solving, user flows, IA) and exceptional UI execution (visual hierarchy, typography, consistency).

• AI-Powered Product Examples: Include case studies of designing for AI-specific features like conversational interfaces, intelligent automation, or personalized recommendations. Explain the unique UX challenges and solutions.

• Quantify Impact: Where possible, use metrics to demonstrate the success of your designs, especially those influenced by AI (e.g., improved efficiency, better engagement, faster task completion).

• Tell a Story: Structure your case studies to tell a clear narrative: the problem, your approach (emphasizing AI), the solution, and the results.

Challenge Preparation:

• Understand AI Design Principles: Brush up on concepts like prompt engineering for design tools, generative design, AI-assisted content creation, and ethical considerations in AI design.

• Practice Figma Advanced Features: Be ready to demonstrate proficiency in Auto Layout, component variants, and complex prototyping within Figma.

• Articulate AI's Role: Be prepared to clearly explain how AI enhances or transforms traditional design processes and user experiences.

• Think Critically About AI Interfaces: Develop an opinion on what makes an AI-generated or AI-powered interface "good" beyond just aesthetics.

📝 Enhancement Note: The interview process will likely heavily scrutinize the candidate's practical experience and understanding of AI in design. Candidates should be prepared to discuss specific AI tools and methodologies they've used, not just theoretical knowledge.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for wireframing, UI design, prototyping, and design systems. Advanced proficiency in Auto

Layout, components, and variants is required.

• AI Design Tools: Experience with a range of AI-powered design tools is critical. This could include:

  • Generative AI for UI: Tools like Galileo, Uizard, or similar platforms that can generate design concepts or interfaces from prompts.
  • AI for Content Generation: Tools that assist with copy, image generation, or even code snippets for prototypes.
  • AI for Research Synthesis: Tools that can analyze user feedback, identify patterns, or summarize research findings.
  • AI for Prototyping: Tools that leverage AI to create interactive prototypes or simulate user behavior.

• Prototyping Tools: While Figma is primary, familiarity with other prototyping tools might be beneficial.

Analytics & Reporting:

• While not a direct responsibility, understanding how user data and AI-driven analytics inform design decisions is important. Familiarity with analytics platforms (e.g., Google Analytics, Mixpanel) and data visualization tools might be advantageous. CRM & Automation:

• Not directly relevant to the design role, but understanding how AI product designs integrate with broader CRM or automation systems could be a plus.

📝 Enhancement Note: The emphasis on "AI-powered design tools" is paramount. Candidates should be prepared to name and discuss specific tools they have experience with and how they integrated them into their workflow.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A strong drive to explore new technologies, especially AI, and experiment with novel design approaches.

• Quality & Craftsmanship: A commitment to high standards in both UX thinking and UI execution, ensuring that AI-driven solutions are well-designed and user-friendly.

• Collaboration & Communication: A culture that values open communication, constructive feedback, and close teamwork across disciplines.

• Efficiency & Speed: An emphasis on leveraging AI to accelerate design processes and deliver results quickly without sacrificing quality.

• User-Centricity: A foundational commitment to understanding and serving user needs, even within the context of complex AI technologies.

Collaboration Style:

• Cross-Functional Integration: Expect to work closely with AI/ML engineers, product managers, and automation specialists, requiring clear communication and the ability to translate between technical and design concepts.

• Iterative Feedback Loops: A culture of continuous feedback, where designs are shared and critiqued regularly to ensure alignment and improvement.

• Knowledge Sharing: An environment that encourages sharing of insights, best practices, and discoveries related to AI design tools and methodologies.

📝 Enhancement Note: The culture likely values individuals who are proactive, curious, and comfortable with rapid technological change, particularly in the AI space.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the constant advancements in AI tools and methodologies, and discerning which are truly beneficial for design.

• Balancing AI Automation with Human Judgment: Knowing when and how to leverage AI for efficiency versus when human intuition, creativity, and ethical oversight are paramount.

• Designing for AI Uncertainty: Creating user experiences that effectively manage AI's inherent uncertainties, provide clear feedback, and ensure user trust.

• Integrating AI into Existing Workflows: Seamlessly incorporating new AI tools and processes into established design and development pipelines.

• Explaining AI-Driven Designs: Effectively communicating the rationale and functionality of complex AI-powered features to stakeholders and users.

Learning & Development Opportunities:

• Mastery of AI Design Tools: Deep dive into and become proficient with the latest AI-powered design and prototyping software.

• Understanding AI/ML Concepts: Gain a stronger foundational understanding of machine learning principles to better inform design decisions for AI products.

• Leading AI Design Initiatives: Opportunity to spearhead the adoption of AI in design processes and potentially lead future AI design projects.

• Industry Trend Tracking: Continuous learning about AI's impact on user experience, product development, and the broader digital landscape.

• Networking: Connecting with other AI-focused designers and technologists in the industry.

📝 Enhancement Note: This role is ideal for someone who thrives on learning and adapting, given the fast-paced nature of AI development. The challenges presented are also significant growth opportunities for an ambitious designer.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI tools to significantly accelerate a part of your design process. What was the tool, what was the outcome, and what did you learn?"

• "How do you approach designing for AI-powered features like conversational interfaces or intelligent recommendations? What are the key UX considerations?"

• "Walk us through a project where you had to balance AI-generated elements with your own design judgment. How did you ensure the final product was well-designed and met user needs?"

• "What are the biggest challenges in designing AI products today, and how do you mitigate them?"

• "Imagine you need to design a feature that uses AI to automate a complex user task. What would be your first steps, and how would you involve AI in your process from ideation to prototyping?" Company & Culture Questions:

• "What excites you most about Brainlake Advertising's approach to AI in advertising?"

• "How do you stay updated on the latest AI design tools and trends?"

• "Describe your ideal collaboration style when working with AI engineers and product managers."

• "How do you handle constructive criticism on your designs, especially when AI is involved?" Portfolio Presentation Strategy:

• Focus on AI Integration: For each case study, dedicate a section to explaining how AI was used and why. Be specific about the tools and their impact.

• Showcase UX & UI Balance: Clearly articulate the user problem, your UX solutions, and then present the polished UI, highlighting both aspects.

• Demonstrate AI Product Design: If possible, include a case study of a product or feature that is inherently AI-powered, detailing the unique design challenges and solutions.

• Use Visuals Effectively: Employ clear wireframes, mockups, prototypes, and perhaps even short videos to illustrate your design process and final output.

• Be Prepared for Technical Questions: Anticipate questions about specific AI tools, Figma features, and your understanding of AI principles in design.

📝 Enhancement Note: Interviewers will be looking for a deep understanding of AI's practical application in design, not just theoretical knowledge. Be ready to defend your design choices and explain the role AI played in them.

📌 Application Steps

To apply for this AI Product Designer position:

• Submit your application through the provided link on Workable.

• Customize Your Resume: Highlight your 4+ years of product/UX design experience, emphasizing your proficiency with Figma and, crucially, your practical experience with AI design tools and AI-powered product design. Use keywords from the job description.

• Curate Your Portfolio: Ensure your portfolio prominently features case studies demonstrating your AI integration in the design process and/or your experience designing AI-powered features. Clearly articulate your process and the impact of AI.

• Prepare Your Case Studies: Be ready to walk through 1-2 key portfolio projects in detail, focusing on your role, the problem, your AI-driven approach, the solutions, and the outcomes.

• Research Brainlake Advertising: Understand their business, their position in the advertising technology market, and how they might be leveraging AI. Tailor your application and interview responses to align with their likely goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions tailored to the provided role and company information. All details, especially regarding compensation and specific company culture, should be verified directly with Brainlake Advertising LLC during the application and interview process.