AI Product Designer
π Job Overview
Job Title: AI Product Designer
Company: Brainlake Advertising LLC
Location: Doha, Qatar
Job Type: CONTRACTOR
Category: Product Design / UX/UI Operations
Date Posted: 2026-08-07
Experience Level: Mid-Level to Senior (4+ years implied)
Remote Status: Fully Remote
π Role Summary
-
Drive the design of innovative AI-powered digital products with an AI-first mindset, integrating AI tools throughout the entire design lifecycle.
-
Translate complex business requirements, user needs, and research findings into intuitive and visually compelling product experiences.
-
Develop and maintain robust design systems, ensuring consistency, scalability, and efficient component utilization across all product touchpoints.
-
Collaborate closely with cross-functional teams, including product managers, AI engineers, and automation specialists, to ensure seamless implementation of designed experiences.
-
Champion best practices in UX/UI design while actively experimenting with and adopting emerging AI design tools and methodologies to enhance workflow efficiency and design quality.
π Enhancement Note: The role emphasizes an "AI-first" approach, indicating a need for a designer who actively leverages AI for research synthesis, ideation, interface generation, and prototyping, rather than merely using AI as an add-on tool. This suggests a significant focus on leveraging AI to redefine design processes and outcomes. The "CONTRACTOR" employment type implies project-based work or a fixed-term engagement.
π Primary Responsibilities
-
Synthesize business objectives, user research insights, and technical constraints into clear, actionable product experience designs.
-
Craft comprehensive user journeys, task flows, information architecture, wireframes, interactive prototypes, and high-fidelity user interfaces.
-
Ensure exceptional UI quality by meticulously focusing on visual hierarchy, typography, spacing, interaction design principles, and overall visual consistency.
-
Integrate AI tools strategically across the design process, including research synthesis, rapid ideation, UX exploration, wireframing, content generation, and iterative design refinement.
-
Proactively experiment with new AI design tools and workflows to discover and implement more efficient and effective design practices.
-
Rapidly iterate through multiple design concepts from initial brief to diverse directions, maintaining high standards of design quality throughout.
-
Architect, build, and maintain scalable design systems, including reusable components, patterns, and foundational elements that support product growth.
-
Prototype advanced AI-powered product features such as conversational interfaces, intelligent copilots, automated workflows, recommendation engines, and proactive assistance.
-
Collaborate effectively with product management, AI/ML engineering, and broader engineering teams to ensure accurate and high-quality implementation of intended user experiences.
-
Conduct critical design reviews and continuously drive improvements in usability, clarity, and the overall aesthetic quality of the product.
π Enhancement Note: The responsibilities highlight a dual focus on core UX/UI craftsmanship and deep integration of AI into the design process. The emphasis on "prototyping AI-powered product experiences" suggests a need for skills beyond traditional UI design, potentially including understanding of natural language processing (NLP) or machine learning concepts as they relate to user interaction.
π Skills & Qualifications
Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent practical experience and a deep understanding of design principles is paramount.
Experience: 4+ years of dedicated product design or UX design experience, with a proven track record across both web and mobile platforms.
Required Skills:
-
Proven expertise in product design and UX/UI design principles for web and mobile applications.
-
A comprehensive portfolio showcasing strong UX thinking and sophisticated UI design taste.
-
Deep understanding of design fundamentals, with an ability to apply them rather than relying solely on templates or AI-generated outputs.
-
Demonstrated ability to take ambiguous problems and transform them into logical, user-friendly, and visually appealing product experiences.
-
High proficiency in Figma, including mastery of Auto Layout, component creation, variants, advanced prototyping, and design system management.
-
Practical, hands-on experience using AI meaningfully in daily design workflows, beyond basic copy generation or simple image manipulation.
-
Active experimentation with AI-powered tools for design, prototyping, research, and product development.
-
Understanding of how AI impacts user experiences, including considerations for uncertainty, human oversight, explainability, automation, and conversational interactions.
-
Ability to discern between superficially impressive AI-generated interfaces and genuinely well-designed, user-centric solutions.
-
Strong visual judgment with a keen eye for detail, including hierarchy, typography, spacing, and interaction.
-
Capacity to work at speed, explore multiple design directions efficiently, and discard suboptimal ideas.
-
Commitment to continuous learning and staying informed about new AI design capabilities and advanced workflows. Preferred Skills:
-
Experience designing conversational interfaces, AI copilots, or intelligent automation features.
-
Familiarity with various AI design tools and platforms beyond Figma (e.g., generative AI tools for ideation, AI-assisted prototyping tools).
-
Understanding of basic AI/ML concepts relevant to product design decision-making.
-
Experience in building and scaling design systems for complex product ecosystems.
-
Familiarity with Agile development methodologies and cross-functional team collaboration.
π Enhancement Note: The requirements strongly emphasize practical AI integration, suggesting that candidates who can demonstrate specific use cases and tangible benefits from using AI in their design process will be highly favored. The explicit mention of distinguishing "AI-generated interfaces" from "well-designed" ones points to a need for critical thinking and a strong design ethos.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
-
Showcase a minimum of 4 years of product/UX design work, with a clear emphasis on AI integration and impact.
-
Feature case studies that demonstrate the end-to-end design process, from initial problem definition through to final UI and AI-driven features.
-
Clearly articulate the specific AI tools and techniques used in each project and the resulting benefits (e.g., faster ideation, improved research synthesis, novel interaction patterns).
-
Highlight examples of strong UX thinking alongside genuinely good UI taste, demonstrating a balance between functionality and aesthetics.
-
Include examples of complex user flows, information architecture, and wireframes that lay the foundation for intuitive product experiences.
-
Showcase polished, high-fidelity interfaces with meticulous attention to detail in typography, spacing, and interaction design.
-
Present examples of design system components, patterns, and their application to ensure scalability and consistency.
-
Demonstrate experience with prototyping, including interactive prototypes that illustrate user journeys and AI-powered interactions. Process Documentation:
-
Provide clear documentation of how AI was leveraged to accelerate research synthesis, ideation, and initial concept exploration.
-
Detail the process for translating business requirements and user needs into logical product experiences, highlighting any AI assistance in this phase.
-
Document the workflow for generating and refining wireframes and prototypes, specifically noting the role of AI in speeding up or enhancing these stages.
-
Outline the approach to building and maintaining scalable design systems, including how AI might support component creation or documentation.
-
Explain the process for collaborating with engineering and AI teams, ensuring the intended experience is accurately implemented, particularly for AI-driven features.
π Enhancement Note: The portfolio is critical for this role, and candidates must explicitly demonstrate their proficiency with AI in design. Simply showing good UI/UX is insufficient; the portfolio needs to narrate how AI was a strategic enabler and differentiator in their design work.
π΅ Compensation & Benefits
Salary Range: Given the "CONTRACTOR" employment type, the location (Doha, Qatar), and the specialized nature of AI Product Design with 4+ years of experience, a competitive hourly or project-based rate is expected. Based on industry benchmarks for similar remote, specialized contract roles in technology and design, a range of $50 - $90 USD per hour is estimated. This range accounts for the demand for AI-specific design skills and the need for strong UX/UI fundamentals.
Benefits: As a contractor, benefits typically vary. However, common provisions may include:
-
Project-based compensation with clear payment terms.
-
Potential for contract extension or future project opportunities.
-
Flexible remote work arrangement.
-
Opportunity to work on cutting-edge AI product development.
-
Professional development through exposure to advanced AI design tools and methodologies.
Working Hours: 40 hours per week. While this is a remote role, adherence to a standard workweek is expected, with potential for flexibility based on project demands and team collaboration needs across different time zones.
π Enhancement Note: Salary estimates are based on general market data for contract AI/UX/UI designers in comparable global markets, adjusted for the specialized skill set. Actual compensation will depend on Brainlake Advertising LLC's internal rates, the specific project scope, and the candidate's demonstrated expertise. Benefits for contractors are often less comprehensive than for full-time employees and are usually reflected in a higher hourly rate.
π― Team & Company Context
π’ Company Culture
Industry: Advertising Technology / Digital Marketing. Brainlake Advertising LLC operates within the dynamic advertising technology sector, focusing on leveraging AI to enhance digital marketing and advertising solutions. This context implies a fast-paced environment driven by innovation and data.
Company Size: The "LLC" designation and the nature of a contractor role suggest a potentially lean or specialized team structure, possibly a mid-sized agency or a focused unit within a larger organization. The focus on AI indicates a forward-thinking approach.
Founded: Information on the founding date is not provided, but the company's focus on AI suggests a relatively modern establishment or a significant pivot towards AI integration in recent years.
Team Structure:
-
The AI Product Designer will likely be part of a project-based team, collaborating closely with product managers, AI/ML engineers, automation specialists, and potentially other designers.
-
Reporting may be to a Design Lead, Head of Product, or directly to a Project Manager, depending on the specific project structure.
-
Cross-functional collaboration is paramount, requiring seamless interaction between design, product strategy, and technical implementation teams. Methodology:
-
A data-driven approach to design is expected, leveraging analytics and user feedback to inform decisions.
-
Agile or iterative development methodologies are likely employed, enabling rapid prototyping and continuous improvement.
-
Emphasis on experimentation with new technologies, particularly AI tools and platforms, to drive innovation in advertising solutions.
Company Website: https://brainlake.com (Inferred from domain_derived)
π Enhancement Note: The company's focus on AI in advertising suggests a culture that values innovation, data-driven decision-making, and rapid adaptation to technological advancements. As a contractor, the designer will need to integrate quickly into existing project teams and workflows.
π Career & Growth Analysis
Operations Career Level: This role is positioned at a Mid-to-Senior level, requiring significant autonomy and expertise. The emphasis on AI integration and a "rethinking" of design processes indicates a need for an experienced professional who can lead by example and innovate within their domain.
Reporting Structure: The AI Product Designer will likely report to a Project Manager or a Design Lead responsible for specific AI product initiatives. Collaboration will be key, with frequent interaction with AI engineers and product strategists.
Operations Impact: The AI Product Designer's role has a direct impact on Brainlake Advertising LLC's ability to deliver cutting-edge, AI-enhanced advertising solutions. Their work will influence user adoption, client satisfaction, and the company's competitive edge in the AI-driven advertising technology market.
Growth Opportunities:
-
Skill Specialization: Deepen expertise in AI-powered product design, conversational UI, and generative design techniques.
-
Project Leadership: Opportunity to lead design efforts on high-impact AI projects, potentially influencing product roadmaps.
-
Methodology Development: Contribute to refining and developing new AI-integrated design processes and best practices within the company.
-
Future Engagements: Successful performance could lead to further contract opportunities or potentially full-time roles if the company expands its design team.
π Enhancement Note: For a contractor role, "growth" is often defined by the breadth and complexity of projects undertaken, the development of specialized skills, and the potential for future engagements, rather than traditional hierarchical advancement.
π Work Environment
Office Type: Fully Remote. This role offers the flexibility of working from any location, eliminating the need for physical office attendance.
Office Location(s): While the role is based in Doha, Qatar, the remote nature means candidates are not tied to a specific physical office. However, adherence to Qatar's employment regulations for contractors may apply.
Workspace Context:
-
A fully remote setup requires self-discipline, effective time management, and strong communication skills.
-
Access to reliable internet, personal hardware, and software conducive to design work is essential.
-
Collaboration will primarily occur through digital tools such as Slack, Zoom, Asana, or similar platforms.
-
The environment is expected to be dynamic and innovative, driven by the cutting-edge nature of AI in advertising.
Work Schedule: Standard 40-hour workweek, with potential for flexible scheduling to accommodate cross-time zone collaboration, provided project deadlines are met.
π Enhancement Note: The fully remote aspect is a key feature, demanding a high degree of self-motivation and proactive communication from the candidate.
π Application & Portfolio Review Process
Interview Process:
-
Initial Screening: Review of resume and portfolio to assess alignment with AI design requirements and experience level.
-
Portfolio Deep Dive: A dedicated session to walk through selected case studies, focusing on the application of AI in the design process, problem-solving approaches, and UI/UX craftsmanship.
-
Technical/Skills Assessment: Discussion or practical exercise focused on Figma proficiency, AI tool usage, and design system principles.
-
Behavioral/Cultural Fit: Questions to understand collaboration style, adaptability to remote work, and passion for AI innovation.
-
Final Interview: Discussion with key stakeholders (e.g., Product Manager, AI Lead) to finalize fit and project scope.
Portfolio Review Tips:
-
AI Integration Clarity: Explicitly highlight and explain the role of AI in each project. Use clear language to describe the "why" and "how" of AI implementation.
-
Problem-Solution Narrative: Structure case studies to clearly present the problem, the proposed solution (emphasizing AI's contribution), your design process, and the measurable outcomes.
-
Visual Quality Emphasis: Ensure all presented UI work is polished and demonstrates strong visual design principles, even when discussing AI-generated elements.
-
Figma Mastery Showcase: Be prepared to demonstrate Figma skills, particularly Auto Layout, components, variants, and prototyping, potentially live during an interview.
-
AI Tool Discussion: Be ready to discuss specific AI design tools you've used, their strengths, limitations, and how you've integrated them into your workflow.
Challenge Preparation:
-
AI Design Scenario: Be prepared for a hypothetical scenario where you need to design an AI-powered feature or product, outlining your approach from ideation to high-fidelity design.
-
Figma Challenge: A timed exercise focusing on creating a specific UI component or flow within Figma, possibly incorporating AI-generated elements.
-
Design System Thinking: Questions about how you would approach building or extending a design system for an AI-driven product.
π Enhancement Note: The interview process will heavily scrutinize the candidate's practical experience with AI in design. A strong portfolio that clearly articulates this experience is non-negotiable.
π Tools & Technology Stack
Primary Tools:
-
Figma: Essential for UI design, wireframing, prototyping, and design systems. Advanced proficiency with Auto Layout, components, and variants is required.
-
AI-Powered Design Tools: Experience with a variety of AI tools for research synthesis, ideation, content generation, wireframing, and prototyping (e.g., Midjourney, Stable Diffusion for ideation; ChatGPT, Claude for content/research synthesis; AI-assisted wireframing/prototyping tools).
-
Prototyping Tools: Figma's native prototyping capabilities, or potentially other tools like Principle, ProtoPie if advanced interaction is needed.
Analytics & Reporting:
-
While not a direct responsibility, understanding how to interpret user analytics data (e.g., from tools like Google Analytics, Amplitude) to inform design decisions is beneficial.
-
Familiarity with A/B testing principles and how design impacts key metrics. CRM & Automation:
-
Not directly specified, but understanding how products integrate with CRM systems (like Salesforce) or utilize automation platforms could be advantageous in understanding the broader product ecosystem.
π Enhancement Note: Proficiency in Figma is explicitly stated as a requirement. The role also demands a proactive approach to exploring and integrating various AI-specific design tools into the workflow.
π₯ Team Culture & Values
Operations Values:
-
Innovation: A strong drive to explore and implement new technologies, particularly AI, to push the boundaries of design and advertising.
-
User-Centricity: A commitment to understanding and solving user problems through intuitive and effective design, even within AI-driven contexts.
-
Excellence in Craft: A dedication to high-quality UI and UX, with meticulous attention to detail and visual polish.
-
Collaboration: An open and communicative approach to working with cross-functional teams, valuing diverse perspectives.
-
Adaptability: The ability to thrive in a fast-paced, evolving technological landscape, embracing change and continuous learning.
Collaboration Style:
-
Proactive Communication: Regular updates and clear articulation of design decisions, challenges, and progress.
-
Cross-Functional Partnership: Working closely with engineers and product managers to ensure design intent is realized, offering solutions and compromises when necessary.
-
Feedback Integration: Openness to constructive criticism and the ability to iterate based on feedback from team members and stakeholders.
-
Knowledge Sharing: Willingness to share insights on AI design trends, tools, and best practices with the broader team.
π Enhancement Note: The culture likely fosters a blend of creative exploration and data-informed execution, with a strong emphasis on leveraging AI as a strategic advantage.
β‘ Challenges & Growth Opportunities
Challenges:
-
Rapidly Evolving AI Landscape: Staying abreast of new AI tools, techniques, and ethical considerations in design.
-
Balancing AI Capabilities with Design Quality: Ensuring AI-generated outputs meet high standards of usability, aesthetics, and user experience, avoiding "AI-generated mediocrity."
-
Cross-Functional Alignment: Effectively communicating complex AI design concepts and gaining buy-in from non-design stakeholders.
-
Integration Complexity: Ensuring seamless integration of AI-powered features into existing product architectures and user flows.
-
Remote Collaboration: Maintaining strong team cohesion and effective communication in a fully remote environment.
Learning & Development Opportunities:
-
Mastering AI Design Tools: Gaining expertise in emerging AI platforms and plugins that enhance the design workflow.
-
Exploring AI Ethics in Design: Developing a deeper understanding of responsible AI design principles, bias mitigation, and user trust.
-
Specializing in AI Product Types: Focusing on designing specific AI-driven experiences like conversational interfaces, recommendation engines, or intelligent automation.
-
Contributing to Design System Evolution: Playing a key role in developing design system components tailored for AI features.
π Enhancement Note: The primary growth opportunity lies in becoming a specialist in the burgeoning field of AI-driven product design, a highly sought-after skill set.
π‘ Interview Preparation
Strategy Questions:
-
"Describe a time you used AI to significantly accelerate or improve a specific part of your design process. What tools did you use, and what was the outcome?"
-
"How do you differentiate between a truly effective AI-powered user experience and one that merely uses AI for superficial effect?"
-
"Imagine you need to design a conversational interface for a complex task. What would be your first steps, and how would you leverage AI in this process?"
-
"Walk us through your process for building or extending a design system, considering how AI components might be integrated."
-
"How do you ensure your designs are not only visually appealing but also functionally robust and user-friendly, especially when incorporating AI elements?" Company & Culture Questions:
-
"What interests you specifically about applying AI design principles within the advertising technology industry?"
-
"How do you stay updated on the latest trends in AI and product design?"
-
"Describe your experience working in a remote, contract-based role. How do you manage your time and collaborate effectively?"
-
"What are your thoughts on the ethical considerations of AI in product design?" Portfolio Presentation Strategy:
-
AI Narrative: For each case study, dedicate a section to explaining the "AI Advantage" β how AI was used, what problems it solved, and the impact it had.
-
Process Visualization: Use flowcharts or diagrams to illustrate your AI-integrated design process.
-
Figma Demo: Be prepared to share your screen and demonstrate key Figma skills, particularly those relevant to design systems and prototyping.
-
Outcome Metrics: Whenever possible, quantify the impact of your designs, especially those influenced by AI (e.g., improved conversion rates, reduced task completion time, increased user engagement).
-
Conciseness: Focus on the most impactful projects and clearly articulate your role and contributions.
π Enhancement Note: Candidates should prepare to speak fluently about their practical experience with AI tools and methodologies, demonstrating both technical skill and strategic thinking.
π Application Steps
To apply for this AI Product Designer position:
-
Submit your application through the provided link on Workable.
-
Tailor your Resume: Highlight your 4+ years of product/UX design experience, specifically mentioning your proficiency with Figma and any AI design tools or AI-integrated projects. Quantify achievements where possible.
-
Curate your Portfolio: Ensure your portfolio prominently features case studies that explicitly detail your use of AI in the design process. Clearly articulate the problem, your AI-driven solution, your design process, and measurable outcomes.
-
Prepare for the Portfolio Walkthrough: Be ready to present and discuss your portfolio in detail, focusing on your AI design expertise and design system capabilities. Practice explaining complex AI design concepts clearly and concisely.
-
Research Brainlake Advertising LLC: Understand their focus on AI in advertising technology to tailor your responses and demonstrate genuine interest in their specific domain.
β οΈ 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.
Application Requirements
Candidates must have 4+ years of product or UX design experience and a portfolio demonstrating strong UX thinking and UI taste. Proficiency in Figma and a deep understanding of how to integrate AI into the design process are essential requirements.