AI Native Product Designer

📍 Job Overview

Job Title: AI Native Product Designer

Company: Metalab

Location: Remote (Americas Time Zones)

Job Type: Full-time

Category: Product Design / GTM Operations

Date Posted: May 21, 2026

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

Remote Status: Fully Remote

🚀 Role Summary

• This client-facing role focuses on designing and shipping end-to-end product experiences, leveraging AI tools as a core part of the workflow to move beyond static mockups to working code.

• You will be embedded in active client engagements, translating research into tangible product artifacts and feeding insights back to the broader organization and R&D teams.

• The position requires a strong UI/UX foundation with an emphasis on systems thinking, product intuition, and the ability to structure complex flows and interactions efficiently.

• A key aspect of this role involves directing AI coding tools (e.g., Cursor, v0, Lovable, Claude) to produce functional product elements, requiring a comfortable understanding of frontend development principles.

📝 Enhancement Note: While the title is "Product Designer", the emphasis on shipping working code, client-facing embeds, and feeding insights back to R&D strongly suggests a role that bridges traditional product design with GTM operational execution and product development lifecycle management. The focus on AI tools for code generation also implies a need for rapid iteration and a hands-on approach to product delivery, aligning with GTM objectives of quickly bringing validated ideas to market.

📈 Primary Responsibilities

• Design and ship end-to-end product experiences across a variety of interfaces including web, mobile, AI-native applications, and emerging platforms.

• Translate ambiguous product briefs and research findings into tangible, working prototypes and shipped artifacts, prioritizing functional output over purely polished static mockups.

• Actively utilize AI tools and agents as an integral part of the design and development workflow for rapid prototyping, iterative design, and the production of working code.

• Collaborate closely with engineering leads on larger-scale product initiatives while independently owning the implementation and delivery of prototypes, Minimum Viable Products (MVPs), and smaller-scale products.

• Present design work and product progress clearly and effectively to clients and internal teams, maintaining design quality standards while adapting to the pace required by client engagements and rapid iteration cycles.

• Contribute to the development, testing, and improvement of internal design tooling and AI workflows, providing honest and actionable feedback to R&D teams to drive innovation.

📝 Enhancement Note: The responsibilities highlight a blend of core product design skills and GTM execution. The emphasis on "shipping product experiences" and "MVPs" points to a role that directly contributes to bringing products to market quickly and efficiently, a key GTM operational objective. The client-facing aspect also underscores the importance of clear communication and stakeholder management, crucial for successful GTM strategy execution.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a strong portfolio demonstrating practical application of design principles and AI tool utilization is paramount. Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is often preferred in similar roles.

Experience: 2-5 years of product design experience, specifically within a digital product agency, studio, or consultancy environment.

Required Skills:

• Product Design: Proven ability to design end-to-end user experiences for digital products.

• UI/UX Fundamentals: Strong grasp of user interface and user experience principles, including information architecture, interaction design, and usability best practices.

• Systems Thinking: Capacity to understand and design complex systems, considering the interconnectedness of components and user flows.

• AI Tool Proficiency: Hands-on experience using AI coding tools such as Cursor, v0, Lovable, Claude, or similar, with a demonstrated ability to build functional products with them.

• Frontend Development Understanding: Sufficient comfort with frontend concepts (components, layout, responsive behavior, basic state management) to effectively direct AI coding tools and critically evaluate their output.

• Rapid Prototyping & Iteration: A strong bias for action, with the ability to quickly make ideas tangible and iterate based on feedback.

• Client Communication: Excellent verbal and written communication skills for presenting work and collaborating with clients and internal stakeholders.

• Adaptability & Learning Agility: A genuine curiosity and excitement for the evolving landscape of product design, particularly concerning AI's impact.

Preferred Skills:

• Experience with AI Prompting techniques to optimize AI tool outputs.

• Familiarity with Figma or similar design and prototyping tools for initial design and concept visualization.

• Experience directing engineering leads on larger projects and independently owning implementation for smaller projects or MVPs.

• A personal portfolio showcasing projects built with AI tools and demonstrating a proactive approach to learning new technologies.

📝 Enhancement Note: The requirements emphasize practical, hands-on skills directly applicable to GTM operations, such as rapid prototyping, iterative development, and client communication. The specific mention of AI tools for code generation and a frontend understanding highlights a modern approach to product development that aligns with efficient GTM execution and faster time-to-market.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase projects that demonstrate end-to-end product design, from initial concept and user research through to shipped product or functional prototypes.

• Include case studies highlighting the use of AI tools (e.g., Cursor, v0, Claude) in your design and development process, demonstrating how these tools were leveraged to achieve specific outcomes.

• Present examples of complex user flows and interaction designs, illustrating your systems thinking and product intuition.

• Clearly articulate your role in each project, especially distinguishing between design contributions and direct implementation using AI coding tools.

Process Documentation:

• Your portfolio should implicitly or explicitly document your process for translating ambiguous briefs into tangible outcomes, especially when leveraging AI.

• Highlight your approach to iterative design and rapid prototyping, showing how you test and validate ideas quickly.

• Include examples of how you've contributed to improving design tooling or AI workflows, demonstrating a feedback loop to R&D.

• Showcase how you balance design quality with the need for speed and function, particularly when working with AI-generated code.

📝 Enhancement Note: For a role that emphasizes shipping working code and leveraging AI, a portfolio is critical. It needs to go beyond static mockups to showcase tangible outputs and the process of using AI tools to achieve them. This aligns with GTM operational needs for efficient and demonstrable product delivery.

💵 Compensation & Benefits

Salary Range: For a mid-level Product Designer with 2-5 years of experience, working remotely in the Americas time zones, a competitive salary range would typically fall between $100,000 - $140,000 USD annually. This estimate is based on industry benchmarks for specialized design roles that incorporate AI and coding, considering the high demand for these skills and the remote nature of the position.

Benefits:

• Comprehensive health, dental, and vision insurance.

• Paid time off and holidays.

• Opportunities for professional development and continuous learning in AI and design technologies.

• Remote work stipend or allowance for home office setup.

• Access to cutting-edge AI tools and technologies for professional use.

• Potential for involvement in R&D initiatives and exposure to emerging design methodologies.

Working Hours: The role is expected to require approximately 40 hours per week, with flexibility to accommodate collaboration across Americas time zones. Occasional adjustments may be necessary to align with client needs or project deadlines, especially given the client-facing nature of the role.

📝 Enhancement Note: The salary range is an estimate for a mid-level remote role in the Americas. Specific compensation will depend on the candidate's experience, location within the Americas, and negotiation. The benefits list is inferred based on standard offerings for tech/design roles at companies like Metalab, with a focus on remote work support and professional development relevant to AI.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Digital Product Agency, Design Studio, AI & Emerging Technologies. Metalab operates at the forefront of digital product creation, often working with innovative startups and established companies looking to leverage new technologies.

Company Size: Metalab is a well-established digital product agency with a significant global presence, employing a diverse range of talent from designers and engineers to researchers and strategists. This size offers both stability and opportunities for cross-functional collaboration.

Founded: Metalab was founded in 2002, bringing over two decades of experience in digital product development and design. This long history suggests a mature organization with deep expertise and established processes, now actively integrating cutting-edge AI advancements.

Team Structure:

• The "Zero" team is described as a small, experimental unit within Metalab focused on exploring new tools, workflows, and product-building methods, particularly with AI.

• This team acts as an innovation hub, testing ideas rapidly and feeding learnings back to the broader Metalab organization.

• The role is client-facing, meaning you'll be embedded in active client engagements, working alongside client teams as well as internal Metalab colleagues.

Methodology:

• Rapid Experimentation: The Zero team emphasizes testing ideas fast, validating what works, and quickly iterating.

• AI-First Workflow: AI tools and agents are central to the design, prototyping, and production of working code.

• Tangible Output Focus: A bias towards producing working artifacts over polished mockups, pushing designs towards ship-readiness.

• Feedback Loop: Honest feedback is provided to those building the AI tools, and learnings are fed back to the broader organization.

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

📝 Enhancement Note: The description of the "Zero" team as an innovation lab within a larger agency provides crucial context. This means the role will likely involve a blend of structured client work and experimental, forward-thinking development, requiring adaptability and a proactive approach to integrating new technologies like AI into established design and GTM processes.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Designer (2-5 years of experience). It requires a solid foundation in UI/UX and product design principles, coupled with a proactive willingness to adopt and master emerging AI technologies for practical application in product development. The emphasis on shipping code and client-facing work elevates it beyond a purely conceptual design role, touching upon GTM execution.

Reporting Structure: While specific reporting lines aren't detailed, the role is part of the "Zero" team, an internal exploration unit. You will report to leadership within this team and likely collaborate closely with project managers or leads for client engagements. The structure encourages autonomy for prototypes and MVPs while facilitating collaboration with engineering leads on larger products.

Operations Impact: The impact of this role is significant for GTM operations. By designing and shipping functional product experiences rapidly using AI, you directly contribute to faster time-to-market, quicker validation of product ideas, and the efficient delivery of client projects. Your ability to translate design intent into working code with AI tools accelerates the product development lifecycle, a key driver for GTM success. Feeding back insights on AI tools also helps refine future GTM strategies and product development processes.

Growth Opportunities:

• AI Specialization: Deepen expertise in AI-driven product design and development, becoming a go-to expert within Metalab and for clients.

• Client Leadership: Progress to leading design efforts on more complex and strategic client engagements, potentially taking on client management responsibilities.

• R&D Contribution: Play a more prominent role in shaping the future of Metalab's design tools and AI workflows, influencing internal best practices and innovation.

• Cross-functional Mastery: Develop a strong understanding of engineering and product management processes by working closely with them, enhancing your holistic product development skillset.

• Mentorship: As your expertise grows, you may have opportunities to mentor junior designers, guiding them in AI tool adoption and best practices.

📝 Enhancement Note: The growth opportunities are geared towards becoming a specialist in a rapidly evolving field. The focus on AI and shipping code positions this role as crucial for GTM operations that rely on speed, efficiency, and innovative product delivery.

🌐 Work Environment

Office Type: This is a fully remote role, with candidates expected to be based in Americas time zones. Metalab is known for its distributed workforce, fostering a culture of asynchronous work and effective virtual collaboration.

Office Location(s): While the role is remote, Metalab has offices globally. For this specific position, the focus is on candidates within the Americas, allowing for real-time collaboration during core business hours across North, Central, and South America.

Workspace Context:

• Virtual Collaboration: Expect a highly collaborative virtual environment utilizing various communication and project management tools.

• AI Tool Integration: Your primary workspace will involve AI coding tools, design software, and communication platforms, enabling you to design, prototype, and code from anywhere.

• Autonomy & Trust: The remote setup implies a high degree of autonomy and trust in your ability to manage your workload and deliver results independently.

• Cross-Functional Interaction: You will regularly interact with designers, engineers, researchers, and client stakeholders in a virtual setting.

Work Schedule: The standard work schedule is approximately 40 hours per week. While remote, candidates are expected to be available within the Americas time zones to facilitate synchronous collaboration when necessary, particularly for client meetings and team syncs. The emphasis on "moving at the pace the work demands" suggests flexibility but also a commitment to timely delivery.

📝 Enhancement Note: The remote nature of this role, combined with the "Zero" team's experimental approach, suggests a dynamic and flexible work environment. Success will depend on strong self-discipline, effective virtual communication, and the ability to engage with diverse teams asynchronously and synchronously.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, focusing on your resume and portfolio to assess your foundational design skills and experience with AI tools.

• Portfolio Review & Discussion: A deep dive into your portfolio with a hiring manager or team member. Expect to discuss specific projects, your design process, your experience with AI tools (e.g., Cursor, v0), and how you've translated design intent into working code. Be prepared to articulate the challenges and outcomes of these projects.

• Design Challenge/Exercise: You may be given a design exercise that requires you to leverage AI tools to produce a functional prototype or a specific design artifact. This will assess your practical application of the required skills under time constraints.

• Team/Culture Fit Interview: Discussions with potential team members to assess your collaborative style, adaptability, and enthusiasm for working with AI and contributing to an experimental team.

• Client Simulation (Possible): Given the client-facing nature, a scenario involving presenting work to a client or handling client feedback might be part of the process.

Portfolio Review Tips:

• Show, Don't Just Tell: Prioritize showcasing tangible outputs – working prototypes, shipped features, or functional code snippets generated with AI.

• Highlight AI Integration: Clearly detail how you used AI tools (Cursor, v0, Claude, etc.), the specific prompts or techniques used, and the impact on your workflow and the final product. Quantify results where possible (e.g., "reduced prototyping time by X%").

• Process Transparency: Explain your thought process from brief to execution, emphasizing your systems thinking and how you navigated ambiguous requirements.

• Client-Facing Examples: If possible, include projects where you successfully presented work to clients and managed their expectations.

• Bias Towards Action: Demonstrate your ability to move quickly and deliver functional results, rather than focusing solely on polished, static designs.

Challenge Preparation:

• Tool Familiarity: Ensure you are comfortable navigating and using the AI tools mentioned (Cursor, v0, Lovable, Claude). Practice generating code, refining outputs, and integrating them into a functional context.

• Frontend Fundamentals: Refresh your understanding of core frontend concepts. Be ready to explain how you'd direct an AI to handle layout, responsiveness, and basic state management.

• Problem-Solving: Prepare to tackle ambiguous design briefs. Focus on breaking down the problem, identifying key user needs, and outlining a rapid iteration strategy using AI.

• Communication: Practice articulating your design decisions and the rationale behind your use of AI tools clearly and concisely.

📝 Enhancement Note: The emphasis on a portfolio that demonstrates working code generated by AI, and the potential for design challenges involving these tools, is critical. This aligns with the GTM need for demonstrable product delivery and rapid iteration. Candidates should prepare to showcase practical application rather than theoretical knowledge.

🛠 Tools & Technology Stack

Primary Tools:

• AI Coding Tools: Cursor, v0, Lovable, Claude (and similar AI agents for code generation and design assistance). Proficiency in directing these tools is essential.

• Design & Prototyping: Figma (or similar industry-standard design tools) for initial design, wireframing, and prototyping.

• Version Control: Git (likely used in conjunction with AI coding tools for managing codebases).

Analytics & Reporting:

CRM & Automation:

• Less emphasis on traditional CRM/Sales Ops tools, but understanding how product features translate into user adoption and potentially impact sales cycles is relevant. Familiarity with project management tools like Jira, Asana, or Trello is likely.

📝 Enhancement Note: The core of this role's technology stack revolves around AI coding tools. Proficiency here is paramount, differentiating it from standard product design roles. The ability to integrate AI-generated code into a functional product is a key technical requirement, directly impacting GTM speed and efficiency.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A drive to explore new technologies and methodologies, particularly AI, and a willingness to test and learn rapidly within the "Zero" team.

• Bias for Action: A strong preference for producing tangible, working artifacts over purely polished static mockups, pushing ideas towards ship-readiness.

• Honest Feedback: A culture of providing candid and actionable feedback, both to internal teams building tools and to clients.

• Adaptability & Resilience: Embracing the rapidly changing landscape of product design and development, particularly with AI, and being comfortable working with evolving tools and processes.

• Collaboration & Communication: Working effectively with diverse teams (design, engineering, R&D, clients) in a remote, often asynchronous environment.

Collaboration Style:

• Cross-functional Integration: Close collaboration with engineering leads on larger projects and independent ownership for prototypes and MVPs.

• Client-Focused: Embedded in client engagements, requiring strong communication and stakeholder management skills.

• R&D Partnership: Working alongside R&D teams to test and refine AI tools and workflows, forming a feedback loop for continuous improvement.

• Agile & Iterative: A dynamic, fast-paced approach to design and development, emphasizing quick iterations and continuous feedback.

📝 Enhancement Note: The culture emphasizes agility, innovation, and a results-oriented approach, all critical for GTM operations that need to adapt quickly to market changes and deliver value efficiently. The blend of client work and internal R&D offers a unique dynamic.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in AI tools and determining which are genuinely effective for product development.

• Balancing Speed and Quality: Navigating the tension between the desire for rapid iteration and shipping code with AI, and maintaining high design quality and user experience standards.

• Ambiguity in AI Tool Output: Directing AI tools effectively and knowing when and how to correct or refine their output to meet product requirements.

• Client Education: Potentially educating clients on the capabilities and limitations of AI-assisted product development.

• Integration with Traditional Workflows: Seamlessly integrating AI-generated code and designs into existing development pipelines and client expectations.

Learning & Development Opportunities:

• AI Tool Mastery: Becoming a leading expert in leveraging cutting-edge AI tools for product design and development.

• Emerging Interface Design: Gaining hands-on experience designing for AI-native and other emerging interfaces.

• Client Project Leadership: Taking on more responsibility and leadership in client engagements, enhancing strategic and communication skills.

• Contribution to Innovation: Directly influencing the development and adoption of new design technologies and workflows within Metalab.

• Cross-Disciplinary Knowledge: Deepening understanding of engineering principles and product strategy through close collaboration.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of the role and the AI-centric approach. The growth opportunities are significant for individuals looking to specialize in a high-demand, future-forward area of product development, with direct implications for GTM strategy and execution.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI tools to significantly accelerate a product design or development process. What was the outcome?" (Focus on specific AI tools, your role, and quantifiable results.)

• "How do you approach translating ambiguous product briefs into tangible, working prototypes, especially when using AI coding tools?" (Highlight your process, problem-solving approach, and ability to iterate.)

• "Walk us through a complex user flow you designed. How did you ensure the interaction design was thoughtful and effective, and how might AI assist in its implementation?" (Demonstrate systems thinking and practical application of AI.)

Company & Culture Questions:

• "What interests you about Metalab's 'Zero' team and its focus on exploring new tools and workflows?" (Connect your interests to the team's mission.)

• "How do you handle providing honest feedback, especially when it pertains to experimental tools or processes?" (Illustrate your communication style and comfort with constructive criticism.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your approach (especially AI usage), the solution, and the impact.

• Demonstrate Working Artifacts: If possible, provide live demos or interactive prototypes of your AI-generated work. If not, use clear visuals and explanations of functionality.

• Highlight AI Proficiency: Be ready to discuss your specific experience with AI tools, including prompt engineering, output refinement, and integration challenges.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your designs and the efficiency gains from using AI (e.g., time saved, features shipped).

• Emphasize Collaboration: Show how you worked with others (engineers, clients) and how your AI-assisted work facilitated collaboration.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical, hands-on experience with AI tools. Candidates must be able to articulate their process, the impact of their work, and their understanding of how AI is reshaping product development and GTM execution.

📌 Application Steps

To apply for this AI Native Product Designer position:

• Submit your application through the Greenhouse portal, ensuring your resume and portfolio are up-to-date and readily accessible.

• Portfolio Customization: Tailor your portfolio to highlight projects where you've utilized AI tools (Cursor, v0, Claude, etc.) for design, prototyping, and code generation. Showcase tangible outputs and clearly articulate your process and impact.

• Resume Optimization: Ensure your resume emphasizes your UI/UX fundamentals, systems thinking, experience in agency/studio environments, and direct experience with AI coding tools. Use keywords like "AI Native," "Prototyping," "Frontend," and "Client-Facing."

• Interview Preparation: Practice articulating your experience with AI tools and your design process through the lens of rapid iteration and shipping working code. Prepare specific examples for strategy, culture, and portfolio presentation questions.

• Company Research: Familiarize yourself with Metalab's work, particularly their focus on innovation and the "Zero" team's mission. Understand their approach to client engagements and their position in the digital product agency landscape.

⚠️ 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.