AI Product Designer

📍 Job Overview

Job Title: AI Product Designer

Company: Brainlake Advertising LLC

Location: Yerevan, Armenia

Job Type: CONTRACTOR

Category: Product Design / UX/UI Design

Date Posted: 2026-08-07

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

Remote Status: Fully Remote

🚀 Role Summary

• AI-Driven Design Innovation: This role is centered around an AI-first approach to product design, requiring a deep understanding of how to leverage Artificial Intelligence throughout the entire design lifecycle, from research synthesis to interface generation and validation.

• Comprehensive Design Execution: Responsibilities span the full spectrum of product design, including user journeys, information architecture, wireframing, high-fidelity UI design, and interactive prototyping, with a strong emphasis on both UX fundamentals and polished UI aesthetics.

• Advanced Tool Proficiency: Candidates must demonstrate high proficiency in Figma, including advanced features like Auto Layout, components, variants, and design system management, alongside significant experience with emerging AI-powered design and prototyping tools.

• Cross-Functional Collaboration: The role involves close collaboration with product, AI, automation, and engineering teams to ensure seamless implementation of designed experiences and to translate business requirements into intuitive, AI-enhanced product solutions.

📝 Enhancement Note: This role is explicitly defined as "not a traditional UX/UI role with a few AI tools added," indicating a strong expectation for candidates who are already integrating AI meaningfully and strategically into their design workflows, rather than just experimenting with basic AI functionalities. The focus is on a proactive, AI-native design methodology.

📈 Primary Responsibilities

• Translate complex business requirements, user needs, and research findings into clear, intuitive, and visually compelling product experiences.

• Design end-to-end user journeys, detailed task flows, robust information architecture, and functional wireframes.

• Produce high-quality, polished user interfaces with meticulous attention to visual hierarchy, typography, spacing, interaction design, and overall aesthetic consistency.

• Proactively utilize AI tools throughout the design process to accelerate research synthesis, explore diverse ideation pathways, generate UX flows, create wireframes, develop prototypes, and iterate on design solutions efficiently.

• Experiment with and champion emerging AI design tools, actively contributing to the development of more efficient and innovative design workflows.

• Rapidly iterate through multiple design directions from initial concepts to final solutions, ensuring no compromise on design quality or user-centricity.

• Develop, maintain, and scale design systems, reusable components, and foundational design patterns to ensure consistency and efficiency across products.

• Prototype advanced AI-powered product experiences, including conversational interfaces, AI copilots, intelligent automation workflows, personalized recommendation engines, and other AI-driven features.

• Collaborate closely with product managers, AI specialists, automation engineers, and software developers to ensure accurate and high-fidelity implementation of designed experiences.

• Conduct critical design reviews to continuously identify opportunities for improving usability, clarity, visual appeal, and overall user satisfaction.

📝 Enhancement Note: The emphasis on "AI throughout the design process" and "prototyping AI-powered product experiences" suggests that candidates should be prepared to showcase projects where AI was integral to problem-solving and solution creation, not just a peripheral tool. This includes demonstrating experience with AI-specific design challenges like managing uncertainty, ensuring explainability, and designing for human oversight.

🎓 Skills & Qualifications

Education: While specific degree requirements are not stated, a strong portfolio demonstrating equivalent practical experience and a deep understanding of design principles is paramount. A Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often preferred in such roles.

Experience: 4+ years of dedicated product or UX design experience, with a proven track record across web and mobile platforms.

Required Skills:

• Product & UX Design: Proven ability to translate business goals and user needs into effective product experiences.

• UI Design Excellence: Demonstrated strong visual judgment, attention to detail in hierarchy, typography, spacing, and overall aesthetic quality.

• Figma Proficiency: Advanced mastery of Figma, including Auto Layout, component libraries, variants, collaborative design, and prototyping capabilities.

• AI Tool Integration: Significant, practical experience using AI in daily design workflows beyond basic copy generation or image creation (e.g., for research synthesis, ideation, wireframing, content generation, iteration).

• AI Product Experience Understanding: Knowledge of how AI impacts user experiences, including concepts like uncertainty, human oversight, explainability, automation, and conversational interaction design.

• Prototyping: Ability to create interactive prototypes to effectively communicate design concepts and user flows.

• Design Systems: Experience in building, maintaining, and scaling design systems and component libraries.

• Rapid Iteration: Comfort and capability in quickly exploring multiple design directions and discarding less effective ideas.

• Problem Solving: Ability to take ambiguous problems and develop logical, usable, and visually strong product solutions.

Preferred Skills:

• Experience with AI-powered design, prototyping, research, and product-building tools beyond standard AI assistants.

• Familiarity with conversational interface design principles and chatbot development.

• Experience working with AI/ML teams or on AI-centric product features.

• Understanding of Agile development methodologies and cross-functional team collaboration.

• Knowledge of data analysis and its application in design decision-making.

📝 Enhancement Note: The requirement for "4+ years of strong product or UX design experience" coupled with the specific emphasis on AI integration suggests that candidates with 2-3 years of dedicated AI-focused design work, built upon a solid foundation of 2-3 years in traditional UX/UI, would be well-positioned. The portfolio is critical for validating both fundamental design skills and AI application.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate UX Thinking & UI Taste: The portfolio must clearly showcase both a deep understanding of user-centered design principles and a genuinely strong aesthetic sense for UI design, highlighting how these two aspects are integrated.

• AI Integration Case Studies: Include at least one detailed case study demonstrating how AI was strategically used to solve a design problem, accelerate a process (e.g., research synthesis, ideation, wireframing), or create a novel AI-powered product feature. Quantify the impact if possible (e.g., time saved, improved efficiency, novel outcomes).

• Figma Proficiency Showcase: Projects should ideally reflect advanced Figma usage, such as complex Auto Layout structures, well-defined component systems, and sophisticated prototyping.

• Problem Definition to Solution: Present end-to-end project narratives that clearly articulate the problem, the design process, the user insights, the solutions explored (including AI-driven ones), and the final outcomes.

Process Documentation:

• Workflow Design & Optimization: Showcase examples of designing and optimizing user workflows, particularly those enhanced or enabled by AI capabilities.

• AI Tool Application: Document how specific AI tools were applied in practice, detailing the rationale for tool selection and the methods used to integrate them into the design workflow.

• Metrics & Iteration: Present how design decisions, especially those influenced by AI, were measured and iterated upon, demonstrating a data-informed approach to design improvement.

📝 Enhancement Note: The portfolio should not just list AI tools used but provide concrete examples of how they were used to achieve better design outcomes or more efficient processes. Candidates should be ready to explain the trade-offs and decision-making involved in choosing AI-assisted methods over traditional ones.

💵 Compensation & Benefits

Salary Range: As this is a CONTRACTOR position, compensation will likely be structured as an hourly rate or a fixed project fee. Based on industry standards for a remote AI Product Designer with 4+ years of experience in Armenia, the estimated hourly rate could range from $30 - $60 USD per hour, or an equivalent fixed project rate. This range is an estimate based on general market data for skilled design professionals in similar remote roles, considering the specialized AI skill set.

Benefits: As a contractor, benefits may vary. Typically, contractors are responsible for their own health insurance, retirement planning, and paid time off. However, some contract roles may include:

• Flexible working hours.

• Opportunity to work on cutting-edge AI projects.

• Potential for long-term engagement or conversion to full-time.

• Access to company-provided software and tools.

Working Hours: The role implies a standard full-time workload, estimated at 40 hours per week, with flexibility inherent in a remote, contractor arrangement. Specific hours can likely be coordinated to align with team needs and individual productivity.

📝 Enhancement Note: Salary for contract roles is highly variable and depends on negotiation, specific project scope, and the candidate's demonstrated expertise. It is crucial for candidates to research current market rates for AI-focused design contractors in their region or for international remote roles and be prepared to negotiate based on their value proposition.

🎯 Team & Company Context

🏢 Company Culture

Industry: Advertising / Technology (AI-focused)

Company Size: The specific size of Brainlake Advertising LLC is not provided, but as an LLC, it could range from a small agency to a medium-sized firm. The presence of an "AI Product Designer" role suggests a forward-thinking, technology-integrated approach.

Founded: The founding date of Brainlake Advertising LLC is not provided.

Team Structure:

• Cross-Functional Teams: The role description explicitly mentions working closely with product, AI, automation, and engineering teams, indicating a collaborative, cross-functional team structure common in tech-forward organizations.

• Specialization: The AI Product Designer role suggests a team with specialists in AI development, product management, and engineering, all working towards common product goals.

• Agile Environment: A fast-paced environment with rapid iteration implies adherence to Agile or similar iterative development methodologies.

Methodology:

• AI-First Design: A core methodology is the proactive and strategic integration of AI across all phases of the design process.

• User-Centricity with AI Augmentation: Combining deep UX fundamentals with AI capabilities to enhance research, ideation, and solution generation.

• Iterative Development: A focus on rapid prototyping, testing, and iteration to refine product experiences.

• Design System Driven: Emphasis on building and leveraging scalable design systems for consistency and efficiency.

Company Website: https://jobs.workable.com/company/1Ks6bzaW1zFF62Xr7snSZ6/jobs-at-brainlake-advertising-llc (Company career page, not direct company site)

📝 Enhancement Note: The company's focus on "AI-first" and its presence on a platform like Workable suggests a modern, tech-savvy organization looking for innovative talent. Candidates should research Brainlake Advertising LLC's specific work in AI or advertising to tailor their application.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level to Senior Designer (2-5 years experience, with emphasis on significant AI integration). It requires independent work and the ability to drive design strategy within AI-focused projects.

Reporting Structure: While not explicitly detailed, the role reports to a design lead or product manager, with close collaboration across AI, automation, and engineering departments. The contractor status may imply a more project-based reporting line.

Operations Impact: The designer's impact is critical in shaping user experiences for AI-powered products. Success means creating intuitive, effective, and engaging interfaces that leverage AI to deliver business value and improve user outcomes. This role directly influences product adoption, user satisfaction, and the perceived intelligence and usability of Brainlake's offerings.

Growth Opportunities:

• AI Design Specialization: Deepen expertise in AI-specific design challenges, becoming a go-to expert in areas like conversational UI, AI ethics in design, and prompt engineering for design tools.

• Product Strategy Influence: As experience grows, contribute more significantly to product strategy and roadmap definition, especially concerning AI features.

• Leadership Potential: Potential to lead design initiatives on AI projects, mentor junior designers, or evolve into a Design Lead or Head of Design role within an AI-focused product team.

• Skill Expansion: Opportunities to learn about AI/ML technologies, automation frameworks, and advanced product development cycles.

📝 Enhancement Note: For a contractor role, "growth" might be more about skill acquisition and project diversification rather than traditional company hierarchy advancement. However, excelling in this role can lead to more high-profile AI design contracts or full-time opportunities with companies pushing AI innovation.

🌐 Work Environment

Office Type: Fully Remote. This indicates a distributed team environment where communication and collaboration rely heavily on digital tools.

Office Location(s): Yerevan, Armenia is listed as a derived location, but the role is designated as "TELECOMMUTE" and "Fully Remote," meaning candidates can work from anywhere, though the company may have a presence or legal entity in Armenia.

Workspace Context:

• Digital Collaboration: Expect a digitally-driven workspace utilizing video conferencing, instant messaging, and collaborative design platforms.

• AI Tools Access: Access to a suite of AI-powered design tools and potentially specialized software for AI development and prototyping.

• Independent Work: A significant amount of independent work and self-management is expected, typical of remote contractor roles.

• Cross-functional Interaction: Regular virtual interactions with diverse teams, requiring strong communication and remote collaboration skills.

Work Schedule: While the core hours are likely aligned with standard business needs (potentially Yerevan time zone, GMT+4), remote contractor roles often offer flexibility. However, timely responsiveness and availability for key meetings and collaborative sessions are crucial.

📝 Enhancement Note: Remote work in the AI design space means embracing asynchronous communication and ensuring all work is well-documented and accessible to distributed team members. Proficient use of collaboration tools is as important as design skills.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess foundational design skills, relevant experience, and demonstrated AI integration.

• Portfolio Presentation & Discussion: A session where you present your portfolio, focusing on 1-2 key projects that highlight your UX/UI expertise and, critically, your experience with AI in design. Be prepared to discuss your process, decision-making, and the impact of AI.

• Skills Assessment/Challenge: Potentially a design challenge or a deep dive into specific skills, such as Figma proficiency, problem-solving scenarios, or a critique of an AI-driven design concept.

• Team/Hiring Manager Interview: A conversation to assess cultural fit, collaboration style, understanding of AI's role in product development, and alignment with Brainlake's vision.

Portfolio Review Tips:

• Curate for AI Impact: Select projects that specifically showcase your AI-first approach. Highlight how AI was used to solve problems, improve efficiency, or create novel user experiences.

• Quantify AI's Contribution: Whenever possible, quantify the benefits of using AI (e.g., reduced time for research synthesis, faster iteration cycles, enhanced user engagement metrics).

• Explain AI Tool Choices: Be ready to articulate why you chose certain AI tools for specific tasks and what the alternatives were.

• Showcase UI Quality: Despite the AI focus, ensure your portfolio demonstrates a high standard of UI design, including typography, spacing, and visual hierarchy.

• Tell a Story: Structure your case studies to tell a compelling narrative about the problem, your process, your unique AI-driven solutions, and the results.

Challenge Preparation:

• AI-Scenario Problem Solving: Be prepared for hypothetical scenarios involving designing for AI-powered features, understanding user adoption challenges with AI, or optimizing AI-driven workflows.

• Figma & Prototyping: Practice complex Figma techniques and be ready to build out a prototype quickly, potentially incorporating AI-generated elements or conversational flows.

• Critique & Justification: Practice critiquing existing AI-driven interfaces and justifying your proposed improvements, focusing on both UX and AI-specific considerations.

📝 Enhancement Note: The emphasis on "AI-first" means interviewers will be looking for candidates who can articulate a clear vision for AI in design and demonstrate practical application, not just theoretical knowledge. Be prepared to discuss the nuances of designing for AI, including its limitations and ethical considerations.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for UI design, wireframing, prototyping, and design system management. Advanced proficiency with Auto

Layout, components, and variants is expected.

• AI Design Tools: A broad category. Candidates should be proficient in tools used for:

  • Research Synthesis: AI-powered summarization and insight extraction tools.
  • Ideation & Wireframing: AI-assisted concept generation, layout suggestions, and initial wireframe creation.
  • Content Generation: AI tools for generating copy, UI text, and placeholder content.
  • Prototyping: AI-driven prototyping tools or plugins that accelerate the creation of interactive experiences, including conversational flows.
  • Image Generation: Tools for creating UI assets or conceptual visuals.

• Prototyping Tools: Beyond Figma, familiarity with tools like ProtoPie, Principle, or others that may integrate with AI could be beneficial.

Analytics & Reporting:

• Familiarity with product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel) to understand user behavior and inform design decisions, especially for AI-driven features. CRM & Automation:

• While not a primary focus for a designer, understanding how design integrates with CRM systems or automation platforms can be advantageous for designing seamless user journeys.

📝 Enhancement Note: The company expects candidates to be at the forefront of AI design tools. This means being adaptable and willing to learn new tools rapidly as the AI landscape evolves. Candidates should highlight any specific AI design tools they have successfully integrated into their workflow.

👥 Team Culture & Values

Operations Values:

• AI-Forward Innovation: A core value likely emphasizes pushing the boundaries of what's possible with AI in design and product development.

• Design Excellence: A commitment to high-quality UX and UI, ensuring that AI augmentation enhances, rather than compromises, the user experience.

• Data-Driven Decision Making: Utilizing insights from research and analytics to inform design choices, including those guided by AI.

• Collaboration & Communication: Fostering an environment where cross-functional teams can communicate effectively and work together seamlessly.

• Agility & Adaptability: Embracing rapid iteration and a willingness to adapt to new technologies and evolving project requirements.

Collaboration Style:

• Cross-functional Partnership: A strong emphasis on working closely with AI, automation, and engineering teams to ensure feasibility and successful implementation.

• Open Communication: Encouraging open dialogue, constructive feedback, and knowledge sharing among team members.

• Iterative Design Culture: A continuous feedback loop where designs are shared, reviewed, and improved upon regularly.

📝 Enhancement Note: The "AI-first" approach suggests a culture that values experimentation, learning, and a proactive stance towards adopting new technologies. Candidates should demonstrate enthusiasm for AI and a collaborative spirit.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating AI Ambiguity: Designing for AI often involves inherent uncertainty, probabilistic outcomes, and the need for user trust. A key challenge is creating clear, predictable, and reliable user experiences within this context.

• Balancing AI Capabilities with User Needs: Determining when and how AI can genuinely enhance a user experience versus when it might overcomplicate or detract from it.

• Rapid Technological Evolution: Keeping pace with the incredibly fast advancements in AI design tools and methodologies requires continuous learning and adaptation.

• Cross-functional Alignment: Ensuring that AI capabilities, design intentions, and engineering realities are aligned and effectively communicated across diverse teams.

Learning & Development Opportunities:

• Deep Dive into AI Design: Opportunities to become a specialist in cutting-edge AI design patterns, conversational AI, and ethical AI considerations.

• Exposure to AI/ML Development: Gaining insights into the underlying AI/ML technologies driving product features.

• Advanced Tool Mastery: Becoming proficient with a wide array of emerging AI-powered design and development tools.

• Contribution to Innovation: Playing a key role in developing novel AI-driven product experiences that could define future industry standards.

📝 Enhancement Note: The challenges presented are inherent to the cutting-edge nature of AI product design. Candidates who view these challenges as opportunities for innovation and learning will be most successful.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI to significantly accelerate or improve a design process. What was the outcome, and what were the trade-offs?" (Focus on practical application, quantifiable results, and critical thinking.)

• "How do you approach designing for uncertainty or 'black box' AI systems? What strategies do you employ to build user trust and manage expectations?" (Demonstrate understanding of AI-specific UX challenges.)

• "Imagine you need to design an AI-powered recommendation engine for [specific context]. Walk us through your process, including how you'd use AI tools." (Showcase your design methodology and AI integration strategy.) Company & Culture Questions:

• "What are your thoughts on the future of AI in product design, and how do you stay updated on new AI design tools and trends?" (Assess your passion for AI and continuous learning.)

• "How would you collaborate with AI engineers and product managers to ensure the designed AI experience is feasible and effectively implemented?" (Evaluate your cross-functional collaboration skills.)

• "What is your definition of a 'strong UI taste' when working with AI-generated elements or interfaces?" (Understand your aesthetic judgment and ability to refine AI outputs.) Portfolio Presentation Strategy:

• Highlight AI-Centric Projects: Dedicate significant time to showcasing projects where AI played a pivotal role.

• Explain Your 'Why': Clearly articulate the problem, why AI was the right solution, and how you leveraged it.

• Showcase Process, Not Just Pixels: Detail your thought process, iteration cycles, and how you used AI tools to achieve your goals.

• Be Ready for Deep Dives: Prepare to answer detailed questions about your Figma skills, AI tool usage, and design decisions.

• Quantify Impact: If possible, present metrics or evidence of the positive impact your AI-driven designs have had.

📝 Enhancement Note: Prepare to discuss your personal workflow and how you actively experiment with AI tools. Being able to articulate the evolution of your AI design practices will be highly valuable.

📌 Application Steps

To apply for this AI Product Designer position:

• Submit your application through the provided Workable link.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best demonstrate your UX/UI fundamentals and, crucially, your practical application of AI in the design process. Ensure these projects clearly articulate the problem, your AI-driven solution, and the outcomes.

• Tailor Your Resume: Highlight your 4+ years of experience, specific proficiency with Figma, and any experience with AI design tools or AI-powered product features. Use keywords from the job description.

• Prepare Your Narrative: Practice articulating your design process, your approach to AI integration, and your understanding of AI's impact on user experience. Be ready to discuss your portfolio in detail.

• Research Brainlake Advertising: Understand their work in advertising and how they are leveraging AI. This will help you tailor your responses and demonstrate genuine interest.

⚠️ 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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