Product Designer: AI Agent Tools (Remote)

📍 Job Overview

Job Title: Product Designer: AI Agent Tools (Remote)

Company: Constructor

Location: Spain

Job Type: Full-time

Category: Product Design / AI / E-commerce Operations

Date Posted: March 23, 2026

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

Remote Status: Fully Remote

🚀 Role Summary

• Design and define novel, AI-driven agentic shopping experiences, moving beyond traditional chatbots to create genuinely new interaction patterns for e-commerce.

• Develop intuitive dashboard tools for merchandisers and "Agent Orchestrators" to configure, train, and optimize AI shopping journeys without requiring engineering support.

• Conduct rigorous shopper research and run UI experiments on live retail sites to validate design hypotheses and measure the real-world impact of new shopping experiences.

• Collaborate closely with Product Managers and Engineers to translate complex research insights into production-ready interfaces and scalable UX patterns within an evolving design system.

• Shape the visual strategy and high-fidelity delivery of AI-powered product discovery tools across various e-commerce surfaces, setting industry standards for the future of retail interaction.

📝 Enhancement Note: This role is positioned within the cutting-edge AI Agent Tools team, focusing on shaping a new category of e-commerce experience. The emphasis on "owning problems, not screens" and designing for "unfamiliar problems" (especially B2B contexts) suggests a need for strategic thinking and adaptability beyond pure UI/UX craft. The "remote solely" nature with a specific country focus (Spain) indicates a structured approach to global remote hiring, likely with established legal and HR frameworks for international employees.

📈 Primary Responsibilities

• Define Novel Agentic Shopping Experiences: Conceptualize and design innovative user journeys where AI/LLMs understand shopper intent and guide them seamlessly from discovery to purchase, creating a fundamentally new e-commerce interaction model.

• Develop Merchandiser Control Tools: Design user-friendly dashboards and configuration interfaces that empower non-technical users (merchandisers, Agent Orchestrators) to manage, train, and optimize AI shopping agents and journeys.

• Conduct User Research & Validation: Lead and execute shopper research initiatives, including user interviews and usability testing, to gather insights that inform design decisions and validate hypotheses.

• Execute UI Experiments: Design and implement A/B tests and other UI experiments on live retailer websites to measure the effectiveness of new features and interaction patterns against key business metrics.

• Create High-Fidelity Designs & Prototypes: Produce detailed mockups, prototypes, and final design assets for key e-commerce surfaces such as homepages, search results, product detail pages (PDPs), filtering mechanisms, guided shopping flows, and agent configuration interfaces.

• Contribute to Design System: Ensure designs are consistent with and contribute to Constructor's evolving design system and component library, promoting scalability and reusability across the platform.

• Collaborate Cross-Functionally: Partner effectively with Product Management, Engineering, and Data Science teams throughout the design process, from ideation and research to implementation and iteration.

• Define Visual Strategy: Establish a compelling and forward-thinking visual direction that aligns with the innovative nature of AI-driven product discovery.

📝 Enhancement Note: The responsibilities highlight a dual focus: designing for the end-shopper's experience and for the internal merchandiser's operational needs. This requires a strong understanding of both consumer psychology and B2B tool design principles. The emphasis on "proving it works in the real world" through experiments and data validation points to a data-driven design approach.

🎓 Skills & Qualifications

Education:

Experience:

• 2-5 years of professional experience in Product Design, UX/UI Design, or a similar role, with a strong portfolio showcasing shipped products.

• Proven experience designing for complex workflows, particularly in B2B contexts or for unfamiliar problem domains.

Required Skills:

• Product Design Expertise: Proficiency in the end-to-end product design process, from research and ideation to high-fidelity design and delivery.

• User Research & Validation: Practical experience leading user interviews, usability testing, and analyzing quantitative/qualitative data to inform design decisions.

• Interaction Design: Ability to map complex user flows and design intuitive interactions, especially for novel or AI-driven experiences.

• Systems Thinking: Capacity to identify patterns, define scalable systems, and create reusable design solutions that contribute to a cohesive design language.

• Collaboration & Communication: Excellent verbal and written communication skills, with a proven ability to partner effectively with Product Managers, Engineers, and other stakeholders.

• Problem Ownership: A proactive mindset focused on identifying and solving high-impact problems rather than just executing assigned tasks.

• Proficiency with Design Tools: Expertise in industry-standard design and prototyping tools (e.g., Figma, Sketch, Adobe Creative Suite).

Preferred Skills:

• Experience with AI/ML Products: Familiarity with designing interfaces for AI-powered features or platforms.

• E-commerce Domain Knowledge: Understanding of e-commerce user journeys, search, recommendations, and merchandising workflows.

• Visual Design Acumen: A strong aesthetic sensibility and the ability to define a compelling visual strategy.

• Experience with Design Systems: Contribution to or strong understanding of design system principles and implementation.

• UI Experimentation: Experience designing for and analyzing the results of A/B tests or other product experiments.

📝 Enhancement Note: The "2-5 years" experience level suggests a mid-level role, requiring a blend of foundational design skills and the ability to work with a degree of autonomy. The emphasis on "unfamiliar problems" and "B2B contexts" is a key differentiator, indicating the need for candidates who can quickly grasp complex domains and user needs outside of typical consumer-facing applications.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies Demonstrating Problem Ownership: Showcase 2-3 detailed case studies that highlight your ability to identify a significant problem, define the scope, and drive its resolution through design. Focus on the "why" behind your decisions.

• Examples of Complex Workflow Design: Include projects that demonstrate your skill in mapping and designing for intricate user journeys or operational processes, especially if they involved B2B elements or novel interaction patterns.

• Research & Validation Artifacts: Present evidence of your user research methodologies (e.g., interview summaries, personas, usability test findings) and how these insights directly influenced your design outcomes.

• Shipped Product Examples: Prioritize projects where your designs were implemented and launched, ideally with metrics or outcomes demonstrating their impact. If direct metrics are unavailable, clearly articulate the intended impact and rationale.

• Systemic Design Thinking: Illustrate instances where you designed scalable solutions, contributed to or utilized a design system, or demonstrated an understanding of how individual components fit into a larger ecosystem.

Process Documentation:

• User Journey Mapping: Be prepared to discuss and potentially illustrate your process for mapping complex user journeys, from initial shopper intent to purchase completion, and for merchandiser workflows.

• Design Iteration & Feedback Loops: Detail how you incorporate feedback from user research, A/B testing, and cross-functional teams into iterative design improvements.

• Collaboration Workflows: Be ready to explain your process for collaborating with Product Managers and Engineers, including how you hand off designs and ensure fidelity during implementation.

📝 Enhancement Note: For a role focused on "shaping a new category," the portfolio should emphasize strategic thinking, research-driven problem-solving, and the ability to design for both novel user experiences and complex operational tools. Demonstrating an understanding of how designs impact business metrics (revenue, conversion) will be crucial.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Unlimited Vacation Time: Encouragement to take at least 3 weeks off annually, promoting work-life balance.

• Work From Home Stipend: Financial support to set up an ergonomic and productive home office environment.

• Apple Laptops Provided: Company-issued hardware to ensure employees have the necessary tools.

• Training and Development Budget: An annual budget allocated for professional growth, certifications, conferences, or courses relevant to design and AI.

• Maternity & Paternity Leave: Support for new parents, in line with qualified employee benefits.

• Stock Options: Opportunity to gain equity in Constructor, aligning personal success with company growth.

• Regular Team Offsites: Opportunities for in-person collaboration and team building (frequency and location not specified, but typical for remote-first companies).

Working Hours:

• Approximately 40 hours per week, with flexibility inherent in a fully remote role. Core collaboration hours will likely align with team needs, potentially spanning across European time zones.

📝 Enhancement Note: The salary range is an estimation based on publicly available data for similar roles in Spain and the tech industry. Actual compensation will depend on the candidate's specific experience, qualifications, and Constructor's internal compensation structure. The benefits package is robust, emphasizing remote work support and professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: E-commerce Technology / Artificial Intelligence / SaaS

Company Size: Constructor is a growing US-based company founded in 2019, with engineering as its largest department. While the exact employee count isn't specified, the scale of their operations (1 billion queries daily) suggests a significant and rapidly expanding organization. This implies a dynamic, fast-paced environment with opportunities for impact.

Founded: 2019 by Eli Finkelshteyn and Dan McCormick. This relatively young age suggests an agile, innovative, and potentially less bureaucratic culture compared to established enterprises.

Team Structure:

• The AI Agent Tools team is a specialized unit focused on building a new category of e-commerce experience.

• This team likely comprises Product Managers, Designers (like this role), AI/ML Engineers, and potentially Data Scientists and "Agent Orchestrators."

• Collaboration is expected to be cross-functional and iterative, leveraging the expertise of various disciplines to tackle complex problems.

Methodology:

• Data-Driven Decision Making: Constructor explicitly states they have "never lost an A/B test to a competitive technology" and value "metrics that matter." This indicates a strong emphasis on empirical validation for all product decisions.

• Cutting-Edge AI Development: The company utilizes proprietary, in-house developed technology based on transformers and generative LLMs, suggesting a culture of deep technical innovation and continuous improvement in AI capabilities.

• Iterative Product Development: The emphasis on "shipping work that matters," "goal-oriented, iterative mindset," and "learning, improving, and shipping quickly" points to an agile development process.

Company Website: https://constructor.com/

📝 Enhancement Note: Constructor's focus on optimizing core e-commerce metrics (revenue, conversion, profit) using advanced AI positions it as a leader in its niche. The culture appears to value technical excellence, data-driven validation, and a proactive, problem-solving approach, which is crucial for a role designing entirely new product categories.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as Mid-Level Product Designer (2-5 years experience). It requires ownership of design problems, collaboration with PMs and engineers, and the ability to translate research into tangible product features. It's a position with significant scope for impact on a nascent product category.

Reporting Structure: The Product Designer will likely report to a Design Lead, Head of Product, or a Product Manager within the AI Agent Tools team. They will work closely with Product Managers to shape direction and Engineers for implementation.

Operations Impact: This role has a direct impact on Constructor's core value proposition: optimizing e-commerce metrics. By designing more effective product discovery and agentic shopping experiences, the designer will directly influence customer conversion rates, revenue, and profitability for Constructor's clients (e.g., Sephora, Under Armour). The success of the AI Agent Tools team is critical to Constructor's future product strategy and market differentiation.

Growth Opportunities:

• Specialization in AI Product Design: Deepen expertise in designing for generative AI, LLMs, and agent-based systems within the e-commerce domain, becoming a sought-after specialist.

• Leadership in New Product Categories: As the AI Agent Tools team grows and evolves, there will be opportunities to take on more complex challenges, lead design initiatives, and potentially mentor junior designers.

• Cross-Functional Skill Development: Gain deeper insights into AI/ML technologies, e-commerce business strategies, and data science principles through close collaboration.

• Impactful Product Shifting: Contribute to defining and shaping a new paradigm in e-commerce, with designs that set industry standards and have measurable business outcomes.

• Advancement to Senior/Lead Roles: Successful performance and demonstrated leadership can lead to promotion to Senior Product Designer, Lead Product Designer, or even design management roles within Constructor.

📝 Enhancement Note: The role offers a unique opportunity to be at the forefront of AI in e-commerce. Growth is likely tied to the success and expansion of the AI Agent Tools product line, offering significant potential for specialized career development and leadership within a rapidly evolving field.

🌐 Work Environment

Office Type: Fully Remote. This means employees work from their chosen location, typically their home office. Collaboration and team interaction occur primarily through digital tools.

Office Location(s): While the company is US-based, this role is specifically for individuals located in Spain. This suggests a focus on building a strong European presence or leveraging talent within specific regions.

Workspace Context:

• Digital Collaboration Hub: Expect extensive use of communication platforms (e.g., Slack, Zoom), project management tools (e.g., Jira, Asana), and collaborative design software (e.g., Figma).

• Autonomy & Self-Discipline: A fully remote environment requires strong self-motivation, time management skills, and the ability to work independently while remaining connected with the team.

• Focus on Output: Performance is measured by results and contributions rather than physical presence, aligning with a data-driven and efficiency-focused company culture.

• Home Office Support: The provision of a work-from-home stipend and Apple laptops indicates the company's commitment to equipping remote employees with the necessary resources for a productive and comfortable workspace.

Work Schedule: Approximately 40 hours per week. While fully remote, there will likely be designated core collaboration hours to facilitate real-time communication and meetings with team members across different time zones, especially given the company's US base.

📝 Enhancement Note: The "remote solely" nature with a specific country requirement (Spain) implies a structured approach to international remote employment, likely with HR and legal compliance in place. Candidates should be comfortable with a digital-first work environment and possess strong self-management skills.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, resume, and portfolio by the recruiting team. Expect questions about your experience with product design, AI, and e-commerce.

• Hiring Manager Interview: A discussion with the hiring manager (likely a Product Lead or Design Lead) to delve deeper into your experience, problem-solving approach, and cultural fit. You'll discuss your portfolio and specific projects.

• Design Exercise / Case Study: A practical assessment, potentially involving a take-home assignment or an in-interview design challenge focused on a relevant problem. This will evaluate your design process, strategic thinking, and ability to articulate solutions.

• Cross-Functional Interviews: Meetings with Product Managers, Engineers, or other team members to assess collaboration skills, technical understanding, and how you approach working with diverse stakeholders.

• Final Interview: Potentially with a senior leader (e.g., Head of Product, CTO) to discuss strategic alignment, long-term vision, and finalize the offer.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business problem you were solving and the measurable impact of your designs (e.g., increased conversion rates, revenue, user engagement). Use metrics where possible.

• Showcase Your Process: Detail your steps – research, ideation, prototyping, testing, iteration. Explain why you made specific design choices, referencing user research or data.

• Highlight Problem Ownership: Select projects where you took initiative, navigated ambiguity, and drove a solution from concept to completion.

• Demonstrate Systems Thinking: Include examples where you considered scalability, design systems, or how your work fit into a larger product ecosystem.

• Tailor to the Role: Emphasize projects related to AI, complex workflows, e-commerce, or B2B tools if you have them. Clearly articulate your understanding of agentic shopping and merchandiser tools.

• Quality over Quantity: Choose 2-4 strong, well-documented case studies that best represent your skills and experience for this specific role.

Challenge Preparation:

• Understand Constructor's Business: Research their AI engine, their client base (Sephora, Under Armour), and their mission to optimize e-commerce metrics.

• Deconstruct "Agentic Shopping": Think about what this means beyond a chatbot. Consider proactive guidance, personalized recommendations, and conversational commerce.

• Consider Merchandiser Needs: How would a merchandiser control, train, and optimize an AI shopping agent? What data and tools would they need?

• Practice Articulating Your Process: Be ready to walk through your design process step-by-step, explaining your rationale and decision-making at each stage.

• Prepare Questions: Have thoughtful questions ready about the team, the product roadmap, design challenges, and company culture.

📝 Enhancement Note: The interview process is likely rigorous, emphasizing not just design craft but also strategic thinking, problem-solving in ambiguous environments, and the ability to deliver measurable business impact. A strong, well-articulated portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable given industry standard and collaborative nature), Sketch, Adobe Creative Suite.

• Collaboration & Communication: Slack, Zoom, Google Workspace.

• Project Management: Jira, Asana, Trello (or similar).

Analytics & Reporting:

• Tools for analyzing UI experiment results (e.g., Optimizely, VWO, internal A/B testing platforms).

• Data visualization tools (e.g., Tableau, Looker) to understand shopper behavior and business metrics.

CRM & Automation:

• While not directly a CRM/automation design role, understanding how designs integrate with backend systems, potentially involving tools like Salesforce (for client management), HubSpot, or internal data platforms, would be beneficial.

• Familiarity with APIs and data structures that enable AI functionality.

📝 Enhancement Note: Proficiency in leading design tools like Figma is essential. The role also requires an understanding of how designs translate into measurable outcomes, necessitating familiarity with A/B testing platforms and data analytics principles, even if direct hands-on use isn't required for the designer.

👥 Team Culture & Values

Operations Values:

• Goal-Oriented & Iterative Mindset: Focus on solving high-impact problems and continuously improving through rapid learning and shipping. This means prioritizing effectiveness and progress over perfection in early stages.

• Empathy & User Advocacy: Deeply understand shopper needs and the challenges faced by merchandisers, translating these into user-centered solutions.

• Openness & Curiosity: Approach new problems with a willingness to learn, explore uncharted territory (especially in AI agent design), and ask probing questions.

• Continuous Improvement: A commitment to refining processes, designs, and technologies to achieve better outcomes and maintain a competitive edge.

• Metrics That Matter: A strong focus on data and quantifiable results, ensuring that design efforts directly contribute to key business objectives like revenue and conversion.

Collaboration Style:

• Cross-Functional Integration: Designers work embedded within product teams, collaborating closely with Product Managers, Engineers, and Data Scientists.

• Direct Communication: Expect frequent, transparent communication through digital channels, with an emphasis on asynchronous collaboration where possible, balanced with real-time syncs.

• Feedback-Driven: A culture that values constructive feedback from peers and stakeholders to refine designs and processes.

• Empowerment: The company aims to empower everyone to do what they do best, suggesting a collaborative environment where individual expertise is respected and leveraged.

📝 Enhancement Note: Constructor's stated values align well with a high-growth tech environment focused on innovation and data. The emphasis on "empathy, openness, curiosity, continuous improvement" combined with a "goal-oriented, iterative mindset" suggests a culture that is both intellectually stimulating and results-driven.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining a New Product Category: Designing for "agentic shopping" involves creating entirely new interaction paradigms. There's no established playbook, requiring significant exploration, hypothesis testing, and user validation.

• Balancing Shopper & Merchandiser Needs: Designing intuitive experiences for shoppers while simultaneously creating powerful, configurable tools for merchandisers presents a complex design challenge.

• Rapid AI Evolution: Keeping pace with the advancements in LLMs and AI technology to ensure designs remain relevant and leverage the latest capabilities.

• Remote Collaboration & Communication: Effectively collaborating and building strong relationships within a fully remote team, especially across different time zones.

• Navigating Ambiguity: Working in a fast-paced startup environment on cutting-edge technology often involves dealing with incomplete information and evolving requirements.

Learning & Development Opportunities:

• Deep Dive into AI/LLM Applications: Gain hands-on experience designing for advanced AI technologies and understanding their practical applications in e-commerce.

• Mastering E-commerce Optimization: Develop a profound understanding of the key metrics and strategies that drive success in online retail through designing for revenue and conversion.

• Building B2B Design Expertise: Hone skills in designing powerful, user-friendly tools for business users (merchandisers).

• Contributing to a Foundational Product: Be part of shaping a product category from its early stages, with the potential to influence its long-term direction and success.

• Professional Development Budget: Utilize the allocated budget for courses, conferences (e.g., AI, UX, E-commerce), or certifications to expand skill sets.

📝 Enhancement Note: The primary challenge is pioneering a new field, which also presents the greatest growth opportunity. Candidates should be motivated by the prospect of innovation and the chance to define future e-commerce experiences.

💡 Interview Preparation

Strategy Questions:

• "Tell me about a time you owned a complex design problem from start to finish. What was the challenge, how did you approach it, and what was the outcome?" (Focus on problem ownership, process, and impact.)

• "How would you approach designing an interface for a merchandiser to control and optimize an AI shopping agent? What key information and controls would they need?" (Demonstrate B2B design thinking, understanding of operational needs.)

• "Describe a situation where you had to design for a problem space you were unfamiliar with. How did you gain understanding and what was your process?" (Assess ability to handle ambiguity and learn quickly.)

• "Constructor uses generative LLMs for AI Agent Tools. How might this technology influence the way you design user interactions compared to traditional UI patterns?" (Showcase understanding of AI's potential impact on UX.)

Company & Culture Questions:

• "What excites you about Constructor's mission and the AI Agent Tools team specifically?" (Research their client successes and future vision.)

• "How do you stay current with advancements in AI and product design?" (Demonstrate continuous learning.)

• "Describe your ideal collaboration style with Product Managers and Engineers." (Align with their iterative, cross-functional approach.)

Portfolio Presentation Strategy:

• Structure: For each case study, follow a clear narrative: Problem -> Research -> Solution (Design Process) -> Outcome/Impact.

• Visuals: Use high-quality mockups, prototypes (if interactive), and user flow diagrams. Include any relevant research artifacts (summaries, personas).

• Verbalize Your Rationale: Clearly explain why you made specific design decisions, referencing user insights, data, or business goals.

• Quantify Impact: Whenever possible, present metrics related to conversion, revenue, engagement, or efficiency improvements. If direct metrics aren't available, articulate the intended impact and how it would be measured.

• Address Ambiguity: Be prepared to discuss how you handled uncertainty or evolving requirements in your projects.

• Tailor to Constructor: Connect your experience and portfolio pieces to the specific challenges and opportunities at Constructor, especially regarding AI, e-commerce, and agentic shopping.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, a robust design process grounded in research and data, and the ability to innovate in a technically advanced domain. Candidates should be ready to articulate their impact and their approach to complex, novel design challenges.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Workable.

• Curate Your Portfolio: Select 2-4 of your strongest case studies that best demonstrate your experience in product design, problem ownership, user research, and ideally, experience with complex workflows, AI, or e-commerce. Ensure each case study clearly outlines the problem, your process, your specific contributions, and the measurable impact.

• Tailor Your Resume: Highlight keywords and experiences relevant to product design, AI, user research, interaction design, and e-commerce. Quantify achievements wherever possible.

• Prepare Your Narrative: Be ready to articulate your design philosophy, your approach to problem-solving, and why you are specifically interested in Constructor and this role during interviews. Practice walking through your portfolio projects concisely and effectively.

• Research Constructor: Understand their product, their clients, their technology (AI/LLMs), and their company values. This will enable you to ask informed questions and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions for a Product Designer role at a company like Constructor. All details, especially regarding compensation and specific interview stages, should be verified directly with the hiring organization during the application process.