Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Kiefer Tech

Location: Athens, Attica, Greece

Job Type: Full-Time

Category: Product Design / UX/UI

Date Posted: 2026-04-10

Experience Level: Mid-Level to Senior (4+ years)

Remote Status: Remote OK (within Greece)

🚀 Role Summary

• Design and deliver intuitive UX/UI for a suite of sophisticated AI-powered products, focusing on user-centricity and business impact.

• Collaborate closely with Product Managers and Engineering teams to ensure seamless feature delivery and rapid product iteration cycles.

• Develop and maintain robust design patterns and reusable components to enhance UI consistency and accelerate design output across the AI product ecosystem.

• Drive improvements in usability, user experience, and overall product consistency, contributing to a cohesive and high-quality AI product suite.

• Support the scaling of design operations within a fast-paced, innovative environment focused on cutting-edge AI and sovereign infrastructure.

📝 Enhancement Note: This role is positioned as a Senior Product Designer, indicated by the 4+ years of experience requirement and the expectation to contribute to design patterns and reusable components, suggesting a need for leadership in design standards and a significant impact on product scalability. The focus on "AI product ecosystem" and "sovereign AI infrastructure" implies a need for designers comfortable with complex, enterprise-grade technology solutions.

📈 Primary Responsibilities

• Conceptualize, design, and prototype user interfaces (UI) and user experiences (UX) for multiple AI-powered products, aligning with product strategy and user needs.

• Translate complex AI functionalities and enterprise requirements into clear, intuitive, and actionable design solutions.

• Conduct user research, usability testing, and gather feedback to inform design decisions and validate product concepts.

• Create detailed wireframes, mockups, interactive prototypes, and high-fidelity designs, ensuring they are implementation-ready for engineering teams.

• Champion design best practices, contributing to and leveraging a design system to ensure visual consistency and efficient component reuse across all AI products.

• Partner with Product Managers to define product requirements, user flows, and feature sets, ensuring design alignment with business objectives.

• Work in close collaboration with software engineers throughout the development lifecycle, providing design support, clarifying specifications, and iterating on designs based on technical constraints and feedback.

• Continuously iterate on existing product designs to enhance usability, accessibility, and overall user satisfaction, supporting faster product iteration cycles.

• Contribute to the strategic vision for the design of Kiefer Tech's AI product ecosystem, identifying opportunities for innovation and user experience improvement.

• Ensure design output respects data privacy and security considerations inherent in sovereign AI infrastructure.

📝 Enhancement Note: The responsibilities emphasize a hands-on design role with a strong collaborative component. The mention of "multiple product streams" and "AI product ecosystem" indicates a need for a versatile designer capable of handling diverse design challenges within a complex technological landscape. The emphasis on "implementation-ready designs" and "faster product iteration cycles" highlights the company's focus on agile development and tangible output.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field, or equivalent practical experience, is highly valued.

Experience: A minimum of 4 years of professional experience in Product Design, UX/UI Design, or a similar role, with a demonstrable track record of designing and shipping digital products.

Required Skills:

• Strong UX Thinking: Demonstrated ability to approach design problems with a user-centered mindset and a structured, analytical approach to problem-solving.

• Proficiency in Design Tools: Expertise in industry-standard design and prototyping tools, with a specific emphasis on Figma.

• Cross-Functional Collaboration: Proven experience working effectively with Product Managers, Engineers, and other stakeholders to deliver successful product features.

• Practical Delivery Mindset: A results-oriented approach, with the ability to deliver high-quality designs efficiently in a fast-paced environment.

• Multi-Priority Management: Capacity to manage multiple design projects concurrently, prioritizing tasks effectively to meet deadlines.

• Design Systems Contribution: Experience in contributing to or utilizing design systems, including creating and maintaining reusable components and patterns.

• Wireframing & Prototyping: Skill in creating low-fidelity wireframes, interactive prototypes, and high-fidelity mockups to communicate design concepts.

Preferred Skills:

• AI/Enterprise Product Design Experience: Familiarity with designing complex AI-driven applications or enterprise-level software solutions.

• User Research & Usability Testing: Experience conducting user interviews, surveys, and usability testing to gather actionable insights.

• Interaction Design Principles: Deep understanding of interaction design principles and best practices for creating intuitive user flows.

• Visual Design Skills: Strong aesthetic sense and ability to create visually appealing and consistent user interfaces.

• Understanding of AI/ML Concepts: Basic understanding of AI and machine learning concepts to better inform design decisions for AI products.

📝 Enhancement Note: The requirements highlight a need for a designer who is not only skilled in core design tools and methodologies but also possesses strong problem-solving capabilities and a pragmatic approach to delivering tangible design outputs. The emphasis on Figma and collaboration with engineering teams points to a focus on efficient workflow and integration within the development process.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate UX/UI Process: Showcase a clear understanding of your design process, from initial concept and research through to final implementation-ready designs.

• Case Studies of AI or Complex Products: Include detailed case studies of projects, ideally involving AI, enterprise software, or complex technical domains, highlighting challenges, your solutions, and the impact of your design.

• Figma Proficiency Showcase: Examples of work created in Figma, demonstrating your mastery of its features for wireframing, prototyping, and component-based design.

• Collaboration Examples: Illustrate how you've collaborated with product managers and engineers, showing your ability to translate requirements and integrate feedback.

• Design System Contribution: If applicable, showcase contributions to or usage of design systems, demonstrating an understanding of scalability and consistency.

Process Documentation:

• User Flow & Wireframing: Provide examples of user flows, journey maps, and wireframes that illustrate your ability to structure complex user experiences.

• Prototyping & Interaction Design: Showcase interactive prototypes that demonstrate your understanding of user interaction and how to convey dynamic user flows.

• Visual Design & UI Specifications: Include high-fidelity mockups and UI specifications that detail visual design elements and interaction states.

• Design Iteration Documentation: Present examples of how you iterated on designs based on user feedback, testing, or technical constraints.

📝 Enhancement Note: A strong portfolio is critical for this role, as it will serve as the primary evidence of a candidate's design process, problem-solving skills, and ability to deliver production-ready designs. The emphasis on AI and complex products suggests that case studies demonstrating experience in these areas will be highly advantageous.

💵 Compensation & Benefits

Salary Range:

Given the "Senior Product Designer" title, 4+ years of experience, and the location in Athens, Greece, a competitive salary range would typically fall between €35,000 - €55,000 per annum. This estimate is based on industry benchmarks for mid-to-senior level product designers in major European tech hubs, adjusted for the Greek market and the company's focus on advanced technology.

Benefits:

• Remote Work Flexibility: Opportunity to work remotely within Greece, offering a strong work-life balance.

• Impactful Projects: Engage with cutting-edge AI products and contribute to the development of sovereign AI infrastructure, offering significant professional satisfaction.

• High Ownership & Autonomy: Be entrusted with significant responsibility and freedom in your design decisions and project execution.

• Exposure to Multiple Product Areas: Gain broad experience by working across various AI product streams, fostering diverse skill development.

• Fast-Paced Environment: Thrive in an agile setting that encourages quick iterations, learning, and continuous improvement.

• Growth Opportunities: Potential for career advancement within a scaling product team and a growing technology company.

• Competitive Compensation Package: Beyond salary, the company likely offers standard benefits such as paid time off, health insurance contributions, and professional development opportunities.

Working Hours:

The standard working hours are typically 40 hours per week, aligning with full-time employment. However, the remote-friendly nature and emphasis on results suggest a degree of flexibility in how hours are managed, provided that collaboration needs and project deadlines are met.

📝 Enhancement Note: Salary estimates are based on general market data for similar roles in Greece and the specified experience level. Actual compensation will depend on the candidate's specific skills, experience, and performance during the interview process. The benefits highlight a company culture that values autonomy, impact, and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (AI, Robotics, Enterprise Solutions, Green Energy heritage)

Company Size: Kiefer Tech is the technology arm of Kiefer, leveraging over 12 years of engineering heritage. While exact numbers for Kiefer Tech are not specified, the mention of scaling and a growing product team suggests it's a dynamic, mid-sized to growing organization within a larger established entity.

Founded: Kiefer was founded over 12 years ago, indicating a stable foundation with significant industry experience. Kiefer Tech, as its technology arm, represents a more recent, focused push into advanced technology sectors like AI.

Team Structure:

• Cross-Functional Product Teams: The role involves working within "multiple product streams," suggesting a structure of small, agile teams comprising Product Managers, Designers, and Engineers focused on specific product areas.

• Design Team Growth: The company is actively looking to "scale design output," implying the design team is growing and evolving, offering opportunities to shape its processes and culture.

• Reporting Structure: The Senior Product Designer will likely report to a Design Lead, Head of Product, or CTO, depending on the exact organizational structure, and will collaborate closely with Product Managers and Engineering leads.

Methodology:

• Agile & Iterative: The emphasis on "faster product iteration cycles" and "quick iterations" points to an agile development methodology, prioritizing rapid feedback and continuous improvement.

• User-Centric Design: "Design UX/UI for multiple AI-powered products" and "Improve usability and consistency" indicate a strong focus on user needs and experience.

• Data-Driven Decisions: While not explicitly stated, the nature of AI and enterprise solutions suggests a reliance on data to inform design and product decisions.

• Quality & Innovation: Core values of "innovation, quality, and long-term client partnerships" guide their approach.

Company Website: https://kiefer.gr/

📝 Enhancement Note: Kiefer Tech positions itself as an innovator in AI, building on a strong engineering legacy. The culture appears to be fast-paced, collaborative, and focused on delivering tangible impact through technology. The growth phase of the product team suggests an opportunity for individuals to influence processes and contribute significantly to the company's trajectory.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as a Mid-Level to Senior Product Designer. The expectation to contribute to design patterns, reusable components, and support scaling design output signifies a move beyond individual contributor tasks towards influencing design standards and team processes. It requires a strong foundation in design principles, coupled with the ability to operate autonomously and lead design initiatives within projects.

Reporting Structure: The Senior Product Designer will likely report to a Design Manager, Head of Product, or a Product Director. They will work closely with Product Managers and Engineering teams on a daily basis, forming a core part of cross-functional product development pods. This structure emphasizes collaboration and direct contribution to feature delivery.

Operations Impact: The Senior Product Designer's impact will be measured by their ability to translate complex AI functionalities into user-friendly products that drive adoption, satisfaction, and ultimately, business value for Kiefer Tech's clients. Their work on design systems and reusable components will directly contribute to the efficiency and scalability of the entire product development process, impacting the speed and quality of future product releases.

Growth Opportunities:

• Design Leadership: As the product team scales, there will be opportunities to take on more leadership responsibilities, potentially mentoring junior designers or leading design initiatives for specific product lines.

• Specialization in AI/ML Design: Deepen expertise in designing for advanced technologies like AI and LLMs, becoming a specialist in a high-demand field.

• Contribution to Design System Evolution: Play a key role in developing and refining Kiefer Tech's design system, contributing to its growth and impact across the organization.

• Broader Product Exposure: Work on diverse AI products, gaining exposure to various industries and user types, which can broaden career options.

• Career Path: Potential progression to Lead Product Designer, Design Manager, or Product Manager roles, depending on individual aspirations and company growth.

📝 Enhancement Note: This role offers a significant opportunity for a designer looking to grow within a specialized and rapidly evolving field. The emphasis on scaling design output and contributing to design systems suggests a path towards influencing design strategy and team processes, not just executing individual design tasks.

🌐 Work Environment

Office Type: While the position is "Remote OK" and located in Athens, Greece, Kiefer Tech is part of Kiefer, which has a physical presence. The company's focus on "enterprise-grade AI infrastructure" and "strategic collaboration with NVIDIA" suggests a professional, innovation-driven environment. It's likely that remote employees are expected to occasionally participate in on-site meetings or team events if located within reasonable proximity to an office.

Office Location(s): The primary location is Athens, Attica, Greece. Kiefer Tech aims to build "sovereign AI infrastructure that keeps data within EU borders," implying a strong presence and operational base within Greece and the EU.

Workspace Context:

• Collaborative & Agile: Expect a dynamic work environment characterized by close collaboration with product and engineering teams, utilizing agile methodologies for rapid development cycles.

• Technology-Forward: Access to modern design tools (Figma) and the opportunity to work with cutting-edge AI technologies and infrastructure.

• High Autonomy: A culture that values "high ownership and autonomy," allowing designers to take initiative and drive their projects forward.

• Innovation Hub: Being part of an organization focused on AI, robotics, and advanced enterprise solutions means working in an environment that fosters creativity and forward-thinking solutions.

Work Schedule:

The role is Full-Time, typically 40 hours per week. Given the remote flexibility, there's an expectation of availability for core collaboration hours, but the emphasis on "delivery-oriented mindset" and "high ownership" suggests that the exact daily schedule may offer some flexibility, as long as project milestones are met and team collaboration is effective.

📝 Enhancement Note: The "Remote OK" status within Greece is a key aspect of the work environment, offering flexibility. However, the nature of product development and collaboration in a tech-focused company implies a need for proactive communication and availability during standard working hours for team syncs and meetings.

📄 Application & Portfolio Review Process

Interview Process:

1. Application Submission: Submit your resume and a link to your portfolio.

2. Portfolio Review: Initial screening will focus on your portfolio to assess your design process, problem-solving skills, and experience with relevant tools and technologies (especially Figma and AI/enterprise products).

3. Hiring Manager Interview: A discussion focusing on your experience, design philosophy, and how you approach collaboration with product and engineering teams. This is where you'll articulate your understanding of UX/UI for AI products.

4. Design Challenge / Whiteboarding Session: You may be asked to work through a design problem, either live or as a take-home exercise. This assesses your structured problem-solving, critical thinking, and ability to articulate design decisions verbally.

5. Team Interviews: Discussions with Product Managers and Engineers to evaluate your collaboration style, communication skills, and fit within the team's agile workflow.

6. Final Interview: Potentially with a senior leader (e.g., Head of Product, CTO) to discuss your strategic thinking, long-term career aspirations, and alignment with Kiefer Tech's vision.

Portfolio Review Tips:

• Highlight Your Process: Clearly articulate your step-by-step approach for each case study. What were the user problems, your research methods, ideation process, design iterations, and final solutions?

• Showcase Impact: Quantify the results of your designs whenever possible. Did your design improve conversion rates, reduce task completion time, increase user satisfaction, or drive business metrics?

• Focus on AI/Complex Products: Prioritize case studies that demonstrate experience with AI, complex enterprise software, or technically challenging projects.

• Demonstrate Figma Mastery: Ensure your portfolio clearly shows work created in Figma, including interactive prototypes and well-structured component usage.

• Tell a Story: Frame your case studies as narratives that showcase your problem-solving abilities and design thinking.

Challenge Preparation:

• Understand the Problem: For any design challenge, ensure you fully grasp the user needs, business goals, and technical constraints. Ask clarifying questions.

• Structure Your Approach: Outline your thinking process logically. Start with user needs, define core problems, brainstorm solutions, and then detail your chosen design.

• Articulate Trade-offs: Be prepared to discuss why you made certain design choices and acknowledge potential trade-offs or alternative solutions.

• Focus on Collaboration: If it's a live challenge, think about how you would involve stakeholders and engineers in the process.

📝 Enhancement Note: The interview process is designed to thoroughly assess not only design skills but also collaboration, problem-solving, and alignment with the company's fast-paced, AI-focused environment. A strong, well-documented portfolio is non-negotiable for this role.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: This is explicitly mentioned as a required proficiency. Expect to use it extensively for wireframing, UI design, prototyping, and potentially design system management.

• Prototyping Tools: While Figma offers robust prototyping capabilities, familiarity with other specialized tools (e.g., InVision, ProtoPie) might be beneficial.

Analytics & Reporting:

• Analytics Platforms: Experience with tools like Google Analytics, Mixpanel, Amplitude, or similar platforms for understanding user behavior and product performance is beneficial.

• Data Visualization Tools: Familiarity with tools that can help visualize user data and design impact metrics.

CRM & Automation:

• Project Management Tools: Proficiency with tools like Jira, Asana, Trello, or similar for managing design tasks, tracking progress, and collaborating with engineering teams.

• Collaboration Platforms: Tools such as Slack, Microsoft Teams, or Confluence for seamless communication and knowledge sharing within the team and across departments.

📝 Enhancement Note: The primary focus is on Figma. However, a broader understanding of the product development toolchain, including project management and analytics, is highly valuable for a product designer working in an agile, data-informed environment.

👥 Team Culture & Values

Operations Values:

• Innovation: A core value driving the development of cutting-edge AI and enterprise solutions. Expect a culture that encourages new ideas and exploration of advanced technologies.

• Quality: Commitment to delivering "enterprise-grade" solutions, meaning high standards for design, engineering, and overall product reliability.

• Long-Term Client Partnerships: A focus on building lasting relationships, implying a dedication to understanding client needs deeply and delivering solutions that provide sustained value.

• Quality & Ownership: As a growing team, expect a culture that values individuals taking ownership of their work and upholding high standards.

• Impact: Working on "real AI products with tangible impact" suggests a culture that celebrates contribution and measurable outcomes.

Collaboration Style:

• Cross-Functional Integration: The role emphasizes close collaboration with Product Managers and Engineers, indicating a highly integrated, team-based approach to product development.

• Agile & Iterative: Expect frequent communication, feedback loops, and adaptability to changing requirements and project needs.

• Open Communication: A fast-paced environment typically requires clear, direct, and continuous communication to ensure alignment and efficiency.

• Problem-Solving Focus: The team likely values a collaborative problem-solving approach, where ideas are shared and debated constructively to arrive at the best solutions.

📝 Enhancement Note: Kiefer Tech's values of innovation, quality, and partnership, combined with an agile and collaborative work style, suggest an environment where designers can make a significant impact while continuously learning and growing.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating sophisticated AI/ML functionalities into intuitive user experiences for enterprise clients can be challenging.

• Rapid Iteration Demands: Working in a fast-paced environment with quick iteration cycles requires efficiency, adaptability, and the ability to make design decisions quickly.

• Balancing Innovation and Usability: Ensuring that cutting-edge AI features are not only powerful but also accessible and user-friendly for a diverse range of users.

• Scaling Design Output: Contributing to the growth of the design function means potentially establishing new processes, standards, and improving overall design team efficiency.

• Maintaining Consistency: Ensuring a cohesive user experience across multiple AI product streams, each with potentially unique functionalities and user bases.

Learning & Development Opportunities:

• Specialization in AI/ML Product Design: Gain deep expertise in a highly sought-after domain by working exclusively on AI-driven products.

• Advanced Design System Development: Contribute to and help shape a growing design system, learning best practices for scalability and governance.

• Exposure to Diverse AI Applications: Work on a variety of AI products, broadening your understanding of different industry applications and user needs.

• Agile and Lean Methodologies: Hone skills in rapid prototyping, user testing, and iterative design within an agile framework.

• Career Progression: Opportunities to advance into leadership roles, specialize further, or transition into product management as the company grows.

📝 Enhancement Note: The challenges are inherent to working with advanced technology in a growth-stage company. They also represent significant opportunities for professional development and skill enhancement.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design a complex feature for an enterprise product. What was your process, and what were the key challenges?" (Focus on structured problem-solving, user needs, and technical considerations.)

• "How do you approach collaborating with engineers to ensure your designs are implemented accurately and efficiently?" (Highlight communication, iteration, and understanding of technical constraints.)

• "Walk us through a design you created using Figma. What were the key decisions you made, and how did you ensure consistency?" (Demonstrate Figma proficiency, design rationale, and system thinking.)

Company & Culture Questions:

• "What interests you about working with AI products and Kiefer Tech's mission in sovereign AI infrastructure?" (Research Kiefer's values, NVIDIA partnership, and AI focus.)

• "How do you stay updated on the latest design trends and AI technologies?" (Demonstrate a commitment to continuous learning.)

Portfolio Presentation Strategy:

• Select Your Best 2-3 Case Studies: Prioritize those that best showcase your process, problem-solving skills, and experience with complex/AI products.

• Tell a Compelling Story: For each case study, clearly define the problem, your role, your process, the solutions you designed, and the impact. Use visuals effectively.

• Highlight Your Figma Skills: Be ready to show specific examples within your Figma work that demonstrate your proficiency in components, auto-layout, prototyping, and design systems.

• Be Prepared for Deep Dives: Anticipate questions about specific design choices, trade-offs, and how you handled feedback or challenges.

• Connect to Kiefer Tech: Briefly explain why your experience and skills are a good fit for Kiefer Tech's specific needs and products.

📝 Enhancement Note: Preparation should focus on demonstrating not only design craft but also strategic thinking, collaboration skills, and a genuine interest in AI and Kiefer Tech's mission.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your portfolio to highlight 2-3 key projects that best demonstrate your experience with complex product design, AI/enterprise solutions, and your proficiency in Figma. Ensure each case study clearly outlines your process and the impact of your designs.

• Resume Optimization: Ensure your resume clearly lists your 4+ years of relevant experience, highlights skills in UX/UI design, Figma, and cross-functional collaboration, and uses keywords from the job description (e.g., AI, enterprise solutions, design systems, prototyping).

• Interview Preparation: Thoroughly research Kiefer Tech, its mission in sovereign AI, and its partnership with NVIDIA. Prepare to discuss your design process, problem-solving approach, and how your skills align with the company's values and the role's responsibilities. Practice articulating your portfolio case studies.

• Company Research: Understand Kiefer Tech's market position, its focus on AI and enterprise solutions, and its core values. This will help you tailor your responses and demonstrate genuine interest during interviews.

⚠️ 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.