Product Designer

📍 Job Overview

Job Title: Product Designer
Company: Globaldev Group
Location: Ukraine
Job Type: FULL_TIME
Category: Product Design / UX/UI
Date Posted: 2026-05-11
Experience Level: 5-10 Years
Remote Status: Fully Remote

🚀 Role Summary

• Design cutting-edge AI and LLM-powered product experiences for knowledge workers, focusing on intuitive interfaces and user delight.
• Drive the end-to-end product design lifecycle, from initial concept and user research to final launch and iteration.
• Collaborate closely with Product Managers, Engineers, and Researchers to define product strategy and user needs.
• Explore and define novel interaction paradigms for AI-assisted workflows, pushing the boundaries of current design patterns.
• Ensure a high standard of visual craft, interaction design, and overall user experience for all shipped products.

📝 Enhancement Note: This role is specifically focused on the intersection of Product Design and Artificial Intelligence, requiring a deep understanding of LLM capabilities and the unique UX challenges they present. The emphasis on "0→1 concepts" suggests a significant amount of innovation and new product development.

📈 Primary Responsibilities

• Craft intuitive, human-centered AI experiences that simplify complex technology and build user trust.
• Define and explore new interaction patterns for AI assistance in content creation, information discovery, and goal achievement.
• Lead the design process for major product features from ideation through to successful launch, utilizing user research to inform elegant solutions.
• Rapidly prototype and iterate on novel AI-native ideas, validating concepts through user feedback and rigorous refinement.
• Develop a profound understanding of LLM behavior to design experiences that leverage AI strengths while thoughtfully managing limitations.
• Maintain an exceptionally high bar for design craft, ensuring every interaction is intelligent, responsive, and helpful.
• Partner with Product Managers to influence roadmap decisions, champion user needs with data and research, and identify opportunities for breakthrough product moments.
• Contribute to the company's design system, share design principles, and foster a culture of design excellence through critique and collaboration.

📝 Enhancement Note: The responsibilities highlight a blend of strategic product thinking and hands-on design execution, with a strong emphasis on innovation in AI-native product development. The expectation to "shape product strategy" indicates a senior-level contribution beyond typical design tasks.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating mastery of design principles and processes is paramount. Candidates with degrees in Design, Human-Computer Interaction, Computer Science, or related fields may have a foundational advantage.
Experience: Minimum of 5 years of progressive product design experience, with a significant portion (at least some) dedicated to designing AI or LLM-based products for consumer or prosumer audiences.

Required Skills:

• 5+ years of Product Design experience.
• Proven experience designing AI or LLM-based products for consumer or prosumer audiences.
• Genuine AI fluency, understanding LLM capabilities, and excitement for UX challenges in AI (trust, transparency, personalization).
• Strong consumer design mindset with a focus on intuitive flows, smooth onboarding, and engagement.
• Technical confidence to discuss model capabilities and constraints with engineers while advocating for users.
• Sharp interaction design skills, with a demonstrated ability to create elegant and efficient user flows.
• Proficient in visual design and a keen eye for detail, ensuring high-quality aesthetics and brand consistency.
• Experience in conducting user research to uncover user needs and validate design solutions.
• Skill in rapid prototyping to bring 0→1 concepts to life quickly.
• Ability to hold a high bar for design quality across all product surfaces.

Preferred Skills:

• Experience designing AI tools, content creation platforms, or personalization-driven applications.
• Familiarity with or contribution to design systems.
• Experience working in fast-moving, agile environments.
• Understanding of data analysis to inform design decisions.
• Experience in shaping product strategy and influencing roadmaps.

📝 Enhancement Note: The emphasis on "Genuine AI fluency" and prior experience with AI/LLM products is a critical differentiator. The "consumer design mindset" suggests a focus on broad usability and adoption, not just niche technical applications.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A strong portfolio is mandatory, showcasing shipped products with demonstrable impact.
• Highlight sharp interaction design skills, particularly in creating intuitive and efficient user flows for complex systems.
• Demonstrate exceptional visual craft, attention to detail, and a cohesive aesthetic across different product touchpoints.
• Include case studies that clearly articulate the problem, your design process, your role, and the quantifiable outcomes or impact of your solutions.
• Specific examples of AI tools, content creation platforms, or personalization-driven work are highly valued.

Process Documentation:

• Case studies should clearly detail the design process, from initial concept and user research to wireframing, prototyping, user testing, and final implementation.
• Showcase how user insights were translated into elegant design solutions that addressed specific user needs and business objectives.
• Illustrate the iterative nature of the design process, including how feedback was incorporated to refine designs.
• Demonstrate an understanding of how designs integrate with technical constraints and capabilities, particularly those of AI models.

📝 Enhancement Note: The portfolio is critical for this role. It must not only showcase aesthetic and interaction design skills but also demonstrate a deep understanding of the product development lifecycle and the ability to translate complex AI concepts into user-friendly experiences with measurable results.

💵 Compensation & Benefits

Salary Range: Based on the experience level (5-10 years), the fully remote nature, and the specialization in AI product design for a company based in Ukraine, a competitive salary range can be estimated. For a senior Product Designer with this profile in Ukraine, a range of $50,000 - $80,000 USD annually is a reasonable estimate. This range accounts for strong technical skills, AI-specific experience, and the cost of living in Ukraine, while also acknowledging the global demand for AI talent.

Benefits:

• Dedicated support from a caring HR team.
• Generous paid time off: 20 days of vacation and 10 days of sick leave annually.
• Opportunities for professional growth through experience exchange and collaboration with talented colleagues.
• Valuable compensation commensurate with skills and contributions.

Working Hours: Approximately 40 hours per week, with flexibility inherent in a fully remote, full-time role. Core working hours will likely align with team collaboration needs, potentially requiring some overlap with European business hours given the company's likely operational base.

📝 Enhancement Note: Salary is estimated based on industry benchmarks for senior remote Product Designers in Eastern Europe, particularly those with AI/LLM specialization. The provided benefits are standard but valuable, with the "exchange of experience and work with talented colleagues" pointing to a strong learning environment.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Software Development, with a specific focus on Artificial Intelligence and Knowledge Work solutions. The company is likely operating in a rapidly evolving sector, emphasizing innovation and cutting-edge product development.
Company Size: While not explicitly stated, the presence of a dedicated HR team and a structured interview process suggests a company that has moved beyond a startup phase and is likely in the small to medium-sized enterprise (SME) bracket, potentially growing.
Founded: The founding date is not provided. However, the focus on AI and LLM products indicates a forward-thinking organization that is likely established enough to invest in advanced technologies and experienced talent.

Team Structure:

• The Product Design team likely consists of skilled designers who collaborate closely with Product Management and Engineering.
• The reporting structure would typically place the Product Designer under a Head of Product, Design Lead, or similar management role.
• Cross-functional collaboration is a core tenet, with designers actively partnering with PMs, engineers, and researchers to define and build products.

Methodology:

• Data-driven approach to design, utilizing user research, analytics, and A/B testing to inform decisions.
• Agile development methodologies, emphasizing rapid iteration, lean principles, and continuous feedback loops.
• Focus on human-centered design, prioritizing user needs and experience in all product development stages.
• Exploration of novel paradigms for AI interaction, encouraging experimentation and innovative solutions.

Company Website: https://globaldev.tech/

📝 Enhancement Note: The company's focus on AI and knowledge work suggests a culture that values innovation, technical expertise, and a user-centric approach to problem-solving. The remote nature implies a need for strong communication and collaboration tools.

📈 Career & Growth Analysis

Operations Career Level: This role is at a Senior Product Designer level. It requires significant independent contribution, end-to-end ownership of features, and the ability to influence product strategy. The expectation to mentor junior team members and contribute to design systems further solidifies this senior positioning.
Reporting Structure: The Product Designer will likely report to a Design Lead, Head of Product, or a similar senior role within the product organization. They will work in close alignment with Product Managers and Engineering teams.
Operations Impact: The Product Designer will have a direct and substantial impact on the company's success by creating user experiences that drive product adoption, user satisfaction, and ultimately, revenue. Their ability to make complex AI technologies intuitive and delightful will be a key differentiator for the company's offerings.

Growth Opportunities:

• Specialization: Deepen expertise in AI/LLM product design, becoming a subject matter expert in this rapidly growing field.
• Leadership: Progress into Lead Product Designer or Design Manager roles, overseeing teams and setting design direction.
• Product Strategy: Influence product roadmaps and strategy more significantly, potentially moving into Product Management or strategic design roles.
• Skill Expansion: Develop skills in areas such as user research methodologies, design operations, or advanced prototyping techniques.

📝 Enhancement Note: This is a growth-oriented role for an experienced designer looking to specialize in the high-demand field of AI product design. The opportunity to shape a product from its early stages and influence its strategic direction is a significant draw.

🌐 Work Environment

Office Type: This is a fully remote position. The work environment is distributed, with team members collaborating online from various locations.
Office Location(s): While the company is based in Ukraine, the role is remote and open to candidates residing within Ukraine. This allows for flexibility in personal workspace arrangements.

Workspace Context:

• The primary workspace will be the candidate's home office or a chosen remote work location.
• Collaboration will occur through digital tools such as video conferencing, instant messaging, and project management platforms.
• Access to modern collaboration software and design tools is expected.
• The environment fosters asynchronous communication where possible, balanced with synchronous meetings for critical discussions and brainstorming.

Work Schedule: The standard working hours are approximately 40 hours per week. While remote, maintaining consistent availability during core team collaboration hours will be essential for effective teamwork and project progression.

📝 Enhancement Note: The fully remote nature requires self-discipline, excellent communication skills, and comfort with digital collaboration tools. The candidate must be able to create a productive and professional work environment independently.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess experience and qualifications. Focus on highlighting relevant AI/LLM design experience and shipped products.
• Hiring Manager Interview: A discussion about your background, design philosophy, and approach to AI product design. Be prepared to articulate your understanding of LLM capabilities and limitations from a UX perspective.
• Design Challenge/Portfolio Review: A deep dive into your portfolio. You will likely be asked to walk through 1-2 case studies, explaining your process, rationale, and the impact of your work. A practical design exercise or problem-solving prompt related to AI interaction design may also be included.
• Team/Cross-functional Interview: Conversations with PMs, Engineers, and potentially other designers to assess cultural fit, collaboration style, and technical confidence.
• Final Interview: Potentially with a senior leader to discuss strategic alignment and overall fit.

Portfolio Review Tips:

• Curate Effectively: Select 2-3 of your strongest projects that best showcase your AI/LLM design experience, interaction design craft, and visual skills.
• Tell a Story: For each project, clearly articulate the problem, your specific role and contributions, the design process you followed, your key decisions and rationale, and the measurable outcomes or impact.
• Highlight AI Nuances: Specifically address the unique UX challenges of AI/LLM products (e.g., trust, transparency, managing uncertainty, prompt engineering interfaces) and how you approached them.
• Visual Craft: Ensure high-quality mockups, prototypes, and visuals that reflect your attention to detail and aesthetic sensibility.
• Conciseness: Be prepared to present your portfolio within a set time limit, focusing on the most impactful aspects.

Challenge Preparation:

• AI Interaction Patterns: Familiarize yourself with emerging patterns for AI interaction, such as conversational interfaces, prompt engineering, AI-generated content editing, and explainability features.
• User Research for AI: Consider how you would approach user research for AI products, focusing on understanding user mental models, trust factors, and unmet needs related to AI assistance.
• Problem-Solving: Practice breaking down complex problems into smaller, manageable design tasks. Be ready to articulate your thought process for designing solutions for ambiguous or novel AI use cases.

📝 Enhancement Note: The emphasis on AI/LLM design in the portfolio review and potential challenges is paramount. Candidates should prepare to demonstrate not just design skills, but a deep understanding of this specific technological domain and its user experience implications.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, ProtoPie (for advanced prototyping).
• Collaboration & Project Management: Jira, Confluence, Asana, Trello, Slack, Microsoft Teams.
• User Research & Testing: UserTesting.com, Maze, Lookback, Optimal Workshop.

Analytics & Reporting:

• Product Analytics: Google Analytics, Amplitude, Mixpanel, Pendo.
• Data Visualization: Tableau, Power BI, Looker (for understanding data-driven insights).

CRM & Automation:

• CRM: Salesforce, HubSpot (understanding how design impacts user journeys within these systems).
• Automation: While not directly a design tool, awareness of automation principles for workflows can inform design decisions.

📝 Enhancement Note: Proficiency in industry-standard design tools like Figma is expected. Familiarity with user research platforms and product analytics tools is also highly beneficial, as the role emphasizes data-driven design and understanding product performance.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and serving the needs of the end-user, especially knowledge workers interacting with AI.
• Innovation: A drive to explore new possibilities in AI interaction design and push the boundaries of what's technically feasible and experientially delightful.
• Craftsmanship: A dedication to high-quality design, attention to detail, and elegant execution in every aspect of the product.
• Collaboration: A team-first attitude that thrives on open communication, constructive critique, and shared ownership of product success.
• Data-Informed Decisions: Utilizing research, analytics, and feedback to guide design choices and measure impact.

Collaboration Style:

• Cross-functional Partnership: Active engagement with PMs and Engineers throughout the product development lifecycle, fostering a shared understanding and vision.
• Open Critique: A culture of thoughtful and constructive design critique, where feedback is shared openly to elevate the quality of work.
• Knowledge Sharing: Encouraging the sharing of insights, best practices, and learnings across the design team and with other departments.
• Agile & Iterative: Working in an agile manner, embracing iterative development and continuous improvement based on feedback.

📝 Enhancement Note: The emphasis on "AI fluency," "consumer design mindset," and "craft and collaboration" points to a culture that balances technical innovation with user empathy and a strong sense of teamwork.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for the Unknown: Navigating the rapidly evolving landscape of AI and LLMs, where best practices are still emerging and user expectations are being formed.
• Balancing Power and Simplicity: Making highly complex AI capabilities accessible and intuitive for everyday knowledge workers without oversimplifying or losing critical functionality.
• Building Trust in AI: Designing experiences that foster user confidence and transparency in AI-generated outputs and decision-making processes.
• Rapid Iteration in a Fast-Paced Environment: Adapting quickly to new model capabilities, market changes, and project demands while maintaining design quality.

Learning & Development Opportunities:

• AI/LLM Specialization: Becoming a leading expert in AI product design, a highly sought-after skill set.
• Cutting-Edge Technology: Gaining hands-on experience with the latest advancements in AI and their application in product development.
• Strategic Influence: Developing skills in product strategy and roadmap influence through close collaboration with leadership.
• Mentorship: The opportunity to learn from and potentially mentor other designers, contributing to team growth and individual development.

📝 Enhancement Note: The primary challenges revolve around the inherent complexities and rapid evolution of AI technology. Growth opportunities are significant for those who excel in this domain, offering deep specialization and strategic impact.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered feature. What were the key UX challenges, and how did you address them?" (Prepare with a specific case study focusing on AI/LLM nuances).
• "How do you approach building trust and transparency in AI-driven products?" (Articulate your principles and provide examples of design patterns).
• "Walk us through your process for designing a new AI interaction paradigm from scratch. What research methods would you use?" (Focus on the "0→1" aspect and innovation).
• "How do you balance user needs with technical constraints and capabilities of LLMs?" (Demonstrate technical confidence and user advocacy).

Company & Culture Questions:

• "What excites you about designing products for knowledge workers using AI?" (Show genuine passion for the domain).
• "How do you contribute to a collaborative design culture, especially in a remote environment?" (Highlight teamwork and communication skills).
• "What are your thoughts on the current state of AI product design, and where do you see it heading?" (Demonstrate forward-thinking and industry awareness).

Portfolio Presentation Strategy:

• Focus on AI Impact: For each project presented, clearly articulate the role AI played, the specific user problem it solved, and the resulting design outcomes.
• Show, Don't Just Tell: Use visuals, interactive prototypes, and clear explanations to demonstrate your interaction design and visual craft.
• Quantify Results: Where possible, present metrics or outcomes that demonstrate the success of your designs (e.g., increased engagement, improved task completion rates, user satisfaction scores).
• Emphasize Process: Clearly explain your design process, including how you incorporated user research, iterated on concepts, and collaborated with cross-functional teams.

📝 Enhancement Note: Candidates should prepare to speak extensively about their experience with AI/LLM products, demonstrating not just design skills but a nuanced understanding of the technology and its user implications. The portfolio presentation is a critical opportunity to showcase this expertise.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Workable.
• Tailor your resume: Highlight your 5+ years of product design experience, explicitly mentioning any work on AI, LLM, or consumer-facing products. Use keywords such as "AI," "LLM," "Interaction Design," "User Research," "Prototyping," and "Consumer Design."
• Curate your portfolio: Select 2-3 of your strongest projects that best exemplify your AI design experience, interaction design craft, and visual skills. Ensure each case study clearly outlines the problem, your role, process, and impact, with a strong focus on AI-specific challenges and solutions.
• Prepare for the interview: Research Globaldev Group and their work in AI. Practice articulating your design philosophy, your approach to AI UX, and be ready to walk through your portfolio case studies with confidence and clarity.
• Highlight your AI fluency: Be prepared to discuss your understanding of LLMs, their capabilities, and the unique UX challenges they present 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.

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