Senior UX Designer [AI]

📍 Job Overview

Job Title: Senior UX Designer [AI]
Company: Shoptet
Location: Capital City of Prague, Prague, Czechia
Job Type: Full-time
Category: Product Design / UX / AI
Date Posted: May 18, 2026
Experience Level: Senior (5-10 years)
Remote Status: Hybrid

🚀 Role Summary

• Spearhead the design and implementation of cutting-edge AI-powered features for e-commerce merchants, driving tangible business impact and user adoption.
• Take ownership of the first dedicated designer role within a new, agile AI team, collaborating closely with two developers to rapidly prototype and iterate on AI solutions.
• Drive the internal AI strategy by developing AI tooling to enhance design and product workflows and evangelizing AI adoption across relevant guilds.
• Focus on a balanced approach: approximately 50% of your time will be dedicated to external AI features, with the remaining 50% allocated to internal tooling and AI evangelization efforts.
• Measure success rigorously based on user adoption and quantifiable business outcomes, not just the volume of prototypes or demos.

📝 Enhancement Note: This role is positioned as a senior, individual contributor within a nascent AI team, emphasizing product ownership, rapid experimentation, and data-driven validation. The "AI" in the title signifies a deep integration of artificial intelligence into the core product offering and internal processes, requiring a designer with both strong UX craft and a pragmatic understanding of AI capabilities and limitations.

📈 Primary Responsibilities

• Conceptualize, design, and deliver AI-driven features for e-shop owners, ranging from content generation tools (e.g., product descriptions) to contextual assistants and advanced agentic commerce solutions.
• Formulate clear hypotheses for AI features, defining success metrics and validation methodologies before implementation to ensure alignment with business objectives.
• Conduct and analyze user research, interpret product data, and monitor feature adoption in production to understand user behavior and identify areas for iteration.
• Drive iterative development cycles for AI features, continuously refining them post-launch based on performance data and user feedback to maximize value delivery.
• Ensure all customer-facing AI features meet Shoptet's quality standards and maintain consistency with the existing Shoptet administration interface.
• Collaborate with developers to build internal AI tooling that streamlines workflows for designers, product managers, and developers within Shoptet.
• Innovate design and product management processes by demonstrating how AI can be integrated into research, ideation, prototyping, and synthesis phases.
• Actively evangelize AI within the design and product guilds through workshops, deep dives, and knowledge-sharing sessions, promoting best practices and future directions.

📝 Enhancement Note: Responsibilities are split between external product impact and internal process improvement, reflecting the strategic importance of AI across Shoptet. The emphasis on "measurable business impact" and "adoption" over "prototypes" suggests a results-oriented environment where design is directly tied to commercial success.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent experience and deep understanding of UX principles and AI applications is essential. Experience: 5-10 years of experience in senior UX or Product Design roles, with a proven track record of managing complex projects from inception through to production.

Required Skills:

• Senior UX/Product Design: Expertise in end-to-end design processes, including user research, information architecture, interaction design, and visual design, with the ability to defend design decisions.
• Product Management Mindset: Strong understanding of business objectives, value proposition, and success measurement; ability to frame design challenges within a broader product strategy.
• User Research & Data Analysis: Proficiency in planning and executing user research, interpreting statistical data (A/B tests, significance, confidence intervals), and extracting insights from product analytics.
• Deep AI Knowledge (Practitioner Level): Active, hands-on experience with AI tools in daily work, including experimentation, comparison, understanding limitations, and forming informed opinions on AI's future direction.
• Quality & Consistency: A keen eye for detail and the ability to discern when AI-generated output meets quality standards, with the confidence to reject substandard work and provide clear rationale.
• Iterative Design & Validation: Experience in rapid prototyping, hypothesis testing, and iterating on features based on real-world performance and user feedback.
• Collaboration & Communication: Excellent interpersonal skills for effective teamwork, stakeholder management, and cross-functional communication.

Preferred Skills:

• Familiarity with AI-native administration concepts and agentic commerce principles.
• Experience with AI tooling beyond standard LLMs, such as specialized AI development platforms or frameworks.
• Understanding of SaaS product development lifecycles and e-commerce platforms.
• Experience in "vibe-coding" or rapid prototyping environments where design system adherence may be flexible for speed.
• Familiarity with Czech market dynamics and e-commerce trends.

📝 Enhancement Note: The ideal candidate possesses a dual expertise: a seasoned UX/Product Designer who also functions as a pragmatic AI practitioner. The emphasis on "product manager mindset" and "data-driven" approaches indicates that analytical skills and a focus on business outcomes are as critical as design craft.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase complex projects managed from initial research and ideation through to successful production deployment, detailing your role and impact.
• Include examples of AI-driven features or experiments, highlighting your understanding of AI capabilities and how you translated them into user-centric solutions.
• Demonstrate your ability to formulate and validate hypotheses, clearly outlining your approach to testing and iteration.
• Present case studies that emphasize measurable business impact and user adoption metrics, illustrating how your design decisions contributed to these outcomes.
• Provide evidence of your user research methodologies and how you integrated data analysis into your design process.

Process Documentation:

• Detail your approach to designing and iterating on AI features, from conceptualization to continuous improvement in production.
• Illustrate your process for integrating AI into existing design and product workflows, including any internal tooling or process innovations you've introduced.
• Showcase how you measure the success and adoption of features, including any frameworks or metrics you've established.
• Document your experience with rapid experimentation and "punk" (agile, experimental) methodologies where appropriate, while still maintaining quality standards.

📝 Enhancement Note: The portfolio should strongly emphasize quantifiable results and a pragmatic, product-focused approach to design. For an AI-centric role, demonstrating hands-on experience with AI tools and a clear understanding of their application in a business context is paramount.

💵 Compensation & Benefits

Salary Range: Based on senior experience level (5-10 years) in Prague, Czechia, for a highly specialized role in AI and Product Design, the estimated annual salary range is approximately CZK 1,200,000 - 1,800,000 (gross). This estimate considers the high demand for AI expertise, the senior nature of the role, and local market benchmarks for similar tech positions.

Benefits:

• Generous Time Off: 5 weeks of annual vacation, plus 4 extra paid days off for personal use.
• Health & Wellbeing: Sick leave salary top-up up to 100% of base salary; access to 6 therapy sessions per year for mental health support.
• Professional Development: Fully paid subscriptions for AI tools of choice (e.g., Claude, ChatGPT, Cursor, Figma AI); budget for personal education, English language courses, and participation in the internal "Product Academy."
• Technology & Equipment: Choice of a new MacBook with M4 chip or Windows laptop; discounted mobile tariff for you and your family.
• Financial & Perks: Contribution to a Multisport card; meal voucher allowance; employee referral bonus; discounted Shoptet tariff for personal e-shops; modern office space in Holešovice with bike-friendly facilities.
• Office Amenities: Unlimited supply of Nordbeans coffee, fresh fruit, vegetables, and healthy snacks.
• Work-Life Integration: Flexible hybrid work model with an expectation of some in-office days for team collaboration in the AI unit.
• Community & Culture: Regular community events including team dinners, birthday celebrations, company get-togethers, and team-building activities.

Working Hours: Standard full-time working hours, approximately 40 hours per week, with a hybrid work arrangement allowing for flexibility between remote and in-office work.

📝 Enhancement Note: The salary estimate is a benchmark for a senior role in a high-demand tech field in Prague. The benefits package is comprehensive, with a notable emphasis on AI tool subscriptions, continuous learning, and employee wellbeing, reflecting a forward-thinking company culture. The hybrid arrangement acknowledges the need for in-person collaboration in a new AI team.

🎯 Team & Company Context

🏢 Company Culture

Industry: E-commerce SaaS (Software as a Service) platform. Shoptet is a leading provider in the Central European region, empowering businesses of all sizes to establish and grow their online presence through comprehensive e-shop solutions. Company Size: Shoptet is a growing technology company with a significant market presence, indicated by its rapid growth and a design team of twelve. This size suggests a dynamic environment with opportunities for impact, while still maintaining a relatively flat structure. Founded: Shoptet was founded with the mission to simplify online entrepreneurship. Its history is rooted in providing accessible and scalable e-commerce solutions, evolving to integrate modern technologies like AI to maintain its competitive edge.

Team Structure:

• The role is part of a newly formed AI Team, consisting initially of the Senior UX Designer and two developers, operating with a flat hierarchy and no direct managerial responsibilities.
• You will also be integrated into the larger Design Team of twelve people, overseen by Dominik, fostering cross-pollination of ideas and adherence to broader design principles.
• Collaboration is expected across Product Guilds and Design Guilds, facilitating knowledge sharing and alignment with company-wide strategies.

Methodology:

• Data-Driven Decision Making: Emphasis on measuring business impact and user adoption as primary success criteria, utilizing analytics and A/B testing.
• Agile Experimentation: Encouragement to "go punk" with experiments, allowing for rapid prototyping and testing of AI features on subsets of users before full rollout, with flexibility in design system adherence where beneficial for speed.
• Continuous Improvement: A philosophy of iterative development where features are refined post-launch until they deliver maximum value, and a commitment to ongoing learning and evangelization of AI.

Company Website: https://www.shoptet.cz/

📝 Enhancement Note: Shoptet's culture appears to balance structured product development with a willingness to embrace agile, experimental approaches, especially within the new AI team. The company's focus on empowering entrepreneurs provides a clear mission that can drive product innovation.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Individual Contributor role, designated as the primary designer within the AI team. It offers significant autonomy and the opportunity to shape the direction of AI integration within Shoptet's product suite. The role requires a blend of deep UX/product expertise and practical AI knowledge, positioning the candidate as a thought leader in this emerging space.

Reporting Structure: While you will be part of the larger design team managed by Dominik, your day-to-day work will be within the AI team, reporting on progress and collaborating closely with the two developers. There is a flat structure within the AI unit, emphasizing peer collaboration over hierarchical management.

Operations Impact: The impact of this role is substantial. By designing and implementing AI features, you will directly influence the value proposition for Shoptet's e-commerce clients, aiming to enhance their business operations, sales, and efficiency. Internally, your work will evangelize AI, potentially transforming how Shoptet's own teams operate and innovate. Success is measured by tangible business outcomes and user adoption, highlighting a direct link between design efforts and company performance.

Growth Opportunities:

• AI Specialization: Deepen expertise in AI product design and implementation, becoming a go-to specialist within Shoptet and potentially the broader CEE e-commerce tech scene.
• Product Strategy Influence: Contribute significantly to Shoptet's AI strategy, shaping future product roadmaps and innovation initiatives.
• Leadership in Emerging Tech: Develop skills in evangelizing new technologies, leading workshops, and mentoring colleagues on AI applications, potentially paving the way for future leadership roles in AI product development or specialized design teams.
• Cross-functional Skill Development: Gain exposure to cutting-edge AI tooling and development practices, expanding your technical toolkit and understanding of AI's evolving landscape.

📝 Enhancement Note: This role offers a unique opportunity to be at the forefront of AI adoption within a successful e-commerce SaaS company. The growth path is less about traditional management and more about becoming a senior specialist and influencer in a highly strategic and rapidly evolving field.

🌐 Work Environment

Office Type: Modern hybrid work environment. While remote work is supported, the AI team is expected to have a significant presence in the office to foster collaboration and rapid iteration. This suggests a balance between focused individual work and dynamic team sessions. Office Location(s): The primary office is located in Port7, Prague's Holešovice district. This modern facility is described as bike-friendly and equipped with amenities to support a comfortable and productive work experience.

Workspace Context:

• Collaborative Hub: The office is designed to encourage collaboration, with expectations for in-person meetings and discussions crucial for the fast-paced AI team.
• Tech-Enabled: Access to the latest technology, including new MacBooks with M4 chips, is provided to ensure efficient workflow and experimentation with AI tools.
• Team Interaction: Opportunities for regular interaction with developers, product managers, and the broader design team, fostering a supportive and knowledge-sharing environment.

Work Schedule: The role operates on a standard full-time basis (approx. 40 hours/week) with a hybrid model. While flexibility is offered, the emphasis on team collaboration within the AI unit suggests a need for consistent presence during core working hours and potentially more in-office days than in a fully remote setup.

📝 Enhancement Note: The workspace is designed to support both focused work and collaborative innovation. The hybrid model, coupled with the need for in-person interaction in the AI team, suggests a dynamic environment where flexibility is balanced with team synergy.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your CV and portfolio, focusing on relevant senior UX/product design experience and demonstrable AI knowledge.
• Hiring Manager/Team Interview: A discussion with Dominik and potentially other members of the AI team to assess your design philosophy, product thinking, and AI expertise. This may involve discussing past projects and your approach to problem-solving.
• Portfolio Presentation & Case Study: You will likely be asked to present a selection of your work, focusing on how you've tackled complex design challenges, incorporated user research and data, and ideally, any experience with AI applications or experimental projects. Expect deep dives into your decision-making process and impact measurement.
• Technical/Skills Assessment (Potential): This could involve a practical exercise or a discussion about your approach to specific AI design challenges relevant to Shoptet's platform.
• Cultural Fit & Final Interview: An assessment of how you align with Shoptet's values, team dynamics, and the specific culture of the AI team.

Portfolio Review Tips:

• Showcase AI Integration: Highlight projects where you've used AI tools or designed AI-driven features. Explain your thought process, the tools used, and the outcomes achieved.
• Quantify Impact: For every project, clearly articulate the business goals, your contribution, and the measurable results (e.g., adoption rates, efficiency gains, revenue impact).
• Demonstrate Product Thinking: Go beyond aesthetics; explain why you made certain design decisions, linking them to user needs, business objectives, and data insights.
• Structure for Clarity: Organize your portfolio logically, perhaps using case studies that follow a problem-solution-result structure. Be prepared to walk through your process efficiently.
• Highlight Research & Data: Show how you use user research and data analytics to inform your design decisions and validate your solutions.

Challenge Preparation:

• AI Design Principles: Be ready to discuss how you approach designing for AI, considering aspects like explainability, trust, bias, and user control.
• E-commerce AI Use Cases: Familiarize yourself with common and emerging AI applications in e-commerce (e.g., personalized recommendations, chatbots, content generation, predictive analytics).
• Hypothesis Formulation: Practice defining clear, testable hypotheses for product features, especially AI-driven ones.
• Data Interpretation: Be prepared to discuss how you would interpret hypothetical data sets related to feature adoption or A/B test results.

📝 Enhancement Note: The interview process will likely focus heavily on practical application and results. Candidates should be ready to demonstrate not just design skills, but also a strategic, data-informed, and AI-centric product mindset.

🛠 Tools & Technology Stack

Primary Tools:

• AI Development/Interaction: Claude Code (primary), with openness to experimenting with other LLMs like ChatGPT, Cursor, and v0.
• Design & Prototyping: Figma (core design tool), Miro (for collaboration and ideation). While these are current standards, the role encourages experimentation with new tools.
• Collaboration: Standard office productivity suites, internal communication platforms (e.g., Slack, Teams), and project management tools.

Analytics & Reporting:

• Product Data Analysis: Expect to work with internal analytics platforms and potentially SQL for data extraction. Proficiency in interpreting A/B test results, statistical significance, and confidence intervals is key.
• Metrics Tracking: Familiarity with defining and tracking key performance indicators (KPIs) related to feature adoption, user engagement, and business impact.

CRM & Automation:

• While not explicitly mentioned as a direct responsibility for this UX role, an understanding of how CRM systems and automation platforms integrate with e-commerce platforms and customer journeys would be beneficial for designing holistic AI features.

📝 Enhancement Note: The emphasis is on utilizing and experimenting with AI tools, with Claude Code being the current primary platform. The company values candidates who are proactive in exploring and adopting new technologies that enhance design and development processes.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A core value is delivering measurable business impact and tangible user adoption, moving beyond theoretical design to real-world results.
• Agile & Experimental: Embracing a "punk" mentality for rapid experimentation, encouraging the release of features to subsets of users to learn quickly and adapt.
• Data-Informed: Decisions are guided by user research and product data, ensuring that design choices are validated and effective.
• Collaborative Innovation: A strong emphasis on teamwork, open communication, and shared learning across the AI team and broader company guilds.
• Continuous Learning & Evangelism: A commitment to staying at the forefront of AI advancements and actively sharing knowledge to foster a company-wide understanding and application of AI.

Collaboration Style:

• Cross-functional Synergy: Close collaboration with developers is fundamental, working together to build and iterate on AI features and tools.
• Open Dialogue: An open and direct communication style is encouraged, fostering a safe environment for feedback, constructive criticism, and the challenging of existing processes.
• Knowledge Sharing: Active participation in design and product guilds, workshops, and deep dives to share insights, best practices, and the latest developments in AI.

📝 Enhancement Note: Shoptet fosters a culture that is both results-oriented and experimentally agile. The AI team is expected to embody these values, pushing boundaries while remaining grounded in data and user feedback.

⚡ Challenges & Growth Opportunities

Challenges:

• Pioneering AI Integration: As part of a new AI team, you will be defining processes and best practices for AI product design at Shoptet, which involves navigating uncharted territory and potential ambiguity.
• Balancing Innovation with Quality: The directive to "go punk" and experiment requires a careful balance with maintaining Shoptet's established quality standards for customer-facing products.
• Quantifying AI Value: Clearly demonstrating the measurable business impact of AI features can be complex, requiring robust data analysis and hypothesis validation skills.
• Rapidly Evolving AI Landscape: Keeping pace with the breakneck speed of AI development and integrating new possibilities into Shoptet's platform will be an ongoing challenge.

Learning & Development Opportunities:

• AI Tool Mastery: Gain deep practical experience with leading AI tools like Claude Code and explore emerging AI technologies and platforms.
• Product Strategy Influence: Contribute directly to Shoptet's AI strategy, impacting product direction and innovation.
• Cross-functional Expertise: Enhance skills in collaboration with engineering teams on AI implementation, and with product managers on defining business value.
• Evangelism & Thought Leadership: Develop skills in presenting complex technical concepts, leading workshops, and influencing cross-functional teams, positioning yourself as an AI advocate within the company.
• Industry Exposure: Opportunities to attend relevant conferences or pursue certifications in AI and product design.

📝 Enhancement Note: This role presents significant challenges related to pioneering new technologies and processes, but these are directly linked to substantial growth opportunities in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI feature you designed. What was the problem, your approach, the key challenges, and the measurable impact?"
• "How would you approach designing an AI-powered chatbot for e-commerce merchants to assist them with customer inquiries, focusing on business value and user experience?"
• "Imagine we want to implement an AI tool to help our merchants automatically generate product descriptions. What would be your design process, and how would you measure its success?"
• "How do you balance the need for rapid experimentation with maintaining product quality and consistency, especially in a fast-moving AI environment?"

Company & Culture Questions:

• "Based on what you know about Shoptet and the e-commerce industry, where do you see the biggest opportunities for AI to add value for our clients?"
• "How would you contribute to evangelizing AI within a design and product organization that may have varying levels of AI understanding?"
• "Describe your ideal collaboration dynamic with engineers when building AI-powered features. How do you ensure alignment and efficient iteration?"

Portfolio Presentation Strategy:

• Focus on AI: Prioritize showcasing projects that involve AI, even if experimental. Clearly articulate your role, the specific AI tools or techniques used, and the outcomes.
• Quantify Everything: For each case study, be prepared to discuss metrics: user adoption, conversion rates, time saved, revenue impact, or any other relevant business outcome.
• Show Your Process: Walk through your design methodology, from research and hypothesis formulation to iteration and final implementation. Explain why you made key decisions.
• Be Ready for Deep Dives: Anticipate detailed questions about your rationale, trade-offs you made, and how you handled challenges.
• Demonstrate Product Thinking: Connect your design work directly to business goals and user value. Show that you understand the "why" behind the product.

📝 Enhancement Note: Prepare to discuss your practical experience with AI, your understanding of its business applications, and your ability to drive measurable results through design. Emphasize your product management mindset and your comfort with experimentation and data.

📌 Application Steps

To apply for this Senior UX Designer [AI] position:

• Submit your application directly through the Shoptet careers portal at https://shoptet.recruitee.com/o/senior-ux-designer-ai.
• Customize Your Resume: Tailor your resume to highlight your senior UX/product design experience, specific AI tool proficiency, experience with user research and data analysis, and any product management-related skills. Use keywords from the job description like "AI," "UX Design," "Product Management," "User Research," and "Data Analysis."
• Curate Your Portfolio: Select your strongest projects that demonstrate complex problem-solving, a product-centric approach, and ideally, AI application. Ensure it clearly showcases your process, your role, and quantifiable results. Be ready to present this effectively.
• Prepare Your Narrative: Practice articulating your experiences and insights regarding AI in design, product strategy, and user impact. Be ready to discuss your passion for AI and how you see it transforming e-commerce.
• Research Shoptet: Understand Shoptet's business model, its position in the CEE market, its products, and its strategic focus on AI. This will help you tailor your application 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.