Product Designer | Senior

📍 Job Overview

Job Title: Product Designer | Senior

Company: nexos.ai

Location: Poland

Job Type: FULL_TIME

Category: Product Design / UX/UI

Date Posted: 2026-09-01

Experience Level: 5-10 Years

Remote Status: Fully Remote (Poland)

🚀 Role Summary

• Lead the end-to-end product design process for an innovative AI platform, focusing on user-centric AI-native experiences.

• Drive problem discovery and solution definition in close collaboration with Product Management and Engineering teams, navigating ambiguity to shape product direction.

• Utilize rapid experimentation, prototyping, and continuous user research to validate design decisions and iterate on product features.

• Develop and maintain a cohesive and consistent product ecosystem by applying systems-thinking principles to AI-powered SaaS applications.

• Balance speed, quality, and long-term vision by shipping iterative MVPs and continuously improving based on user feedback and data.

📝 Enhancement Note: This role is positioned as a Senior Product Designer within a fast-paced startup environment, with a strong emphasis on AI-native experiences and a systems-thinking approach. The core function involves not just executing design but actively participating in product strategy and problem discovery.

📈 Primary Responsibilities

• Spearhead problem discovery initiatives to identify user needs and business opportunities, going beyond mere solution execution.

• Design and iterate on AI-native user experiences, ensuring trust, clarity, and seamless interaction despite AI complexities like hallucinations and latency.

• Conduct lightweight, AI-assisted user research to gather continuous insights and validate design hypotheses rapidly.

• Apply systems-thinking to ensure product consistency and coherence across the entire ecosystem, from initial concept to final delivery.

• Champion the development of AI-powered features that are both intuitive for users and robust in their underlying technology.

• Define key success metrics for design initiatives and leverage product data to inform iterative improvements and strategic decisions.

• Collaborate closely with Product Managers and Engineers to translate complex requirements into user-friendly and technically feasible designs.

• Develop and refine design patterns and contribute to scaling the overall product experience through best practices and knowledge sharing.

• Manage multiple design projects concurrently, prioritizing tasks effectively to meet deadlines while upholding high-quality standards.

• Proactively identify and address potential AI model limitations or user trust issues within the design framework.

📝 Enhancement Note: The responsibilities highlight a proactive, strategic role that extends beyond traditional UI design. Emphasis is placed on problem discovery, AI-specific design considerations, and data-driven iteration, aligning with senior-level expectations in a startup context.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating a deep understanding of UX principles, design thinking, and AI-native design is paramount. Equivalent practical experience will be highly valued.

Experience: Minimum of 5-10 years of progressive experience in product design, with a significant portion in startup environments and experience designing complex, AI-powered systems.

Required Skills:

• Proven startup experience with a demonstrated ability to adapt and thrive in dynamic environments, prioritizing agility over rigid processes.

• Expertise in designing complex systems, with a strong emphasis on systems thinking rather than isolated feature design.

• Excellent communication skills, with the ability to articulate trade-offs, constraints, and the rationale behind design decisions clearly.

• Demonstrated capability to identify and validate key assumptions in product ideas through rapid experimentation, prototyping, or user insights.

• Hands-on experience with user research methodologies, including usability testing, user interviews, and AI-assisted research techniques.

• Proficiency in leveraging product data and defining success metrics to guide design iterations and measure impact.

• A strong understanding of modern web technologies and their implications for product design.

• Ability to drive the design process independently while fostering a highly collaborative team environment.

• Focus on delivering both user value and organizational outcomes, not just UI deliverables.

• Deep curiosity about AI and a passion for creating understandable and trustworthy AI experiences. Preferred Skills:

• Active and innovative use of AI tools to accelerate and enhance personal design workflows.

• Experience designing for multi-step user workflows and mobile applications.

• Familiarity with no-code platforms and their design implications.

• Experience with data visualization and dashboard design for complex SaaS products.

📝 Enhancement Note: The requirements emphasize a blend of practical design skills, strategic thinking, and adaptability crucial for a senior role in a tech startup. The preference for AI tool usage highlights the company's forward-thinking approach.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design work on complex SaaS products, demonstrating a deep understanding of user flows and system architecture.

• Feature case studies that highlight a systems-thinking approach, illustrating how individual design decisions contribute to the broader product ecosystem.

• Include examples of AI-native experiences, detailing the challenges and solutions related to user trust, AI limitations (hallucinations, latency), and AI-assisted workflows.

• Present projects that demonstrate rapid experimentation, prototyping, and validation of design decisions through user research and data analysis.

• Highlight your ability to define and track success metrics, showing how data influenced design iterations and product improvements. Process Documentation:

• Detail your approach to problem discovery and user research, including methodologies used to uncover user needs and validate product ideas.

• Illustrate your workflow for designing AI-powered features, from initial concept through to iterative development and deployment.

• Provide examples of how you collaborate with Product Managers and Engineers, showcasing your communication and teamwork skills in a product development lifecycle.

• Explain your process for balancing speed and quality in a startup environment, including strategies for shipping MVPs and continuous improvement.

📝 Enhancement Note: The portfolio requirements are specifically tailored to a senior product designer role in an AI-focused startup. Emphasis is placed on demonstrating strategic thinking, AI-specific design expertise, and a data-driven, iterative approach to product development.

💵 Compensation & Benefits

Salary Range: Gross salary is 24,600 - 29,500 PLN/month.

• This range is estimated to be competitive for a Senior Product Designer in Poland, considering the experience level and the tech startup environment. The gross monthly salary translates to approximately €5,300 - €6,400 (based on current exchange rates), which aligns with senior design roles in major European tech hubs. Benefits:

• Professional Growth: Access to internal/external training, conferences, and books to foster continuous learning and skill development.

• Health & Wellness: Comprehensive private health insurance, online and on-site workouts (Lithuania) or online workouts and sports access card (Poland), and consultations for well-being.

• Team Engagement: Regular team-building events, parties, games, shows, tastings, and food coupons to foster a strong team spirit.

• Work-Life Balance: Additional vacation days awarded for tenure, providing more time for rest and personal pursuits.

• Special Leave: Additional paid leave provided for illness or special occasions, supporting employee well-being.

• Flexibility: Flexible working time arrangements to accommodate individual needs and promote a healthy work-life balance.

Working Hours: 40 hours per week, with flexible working time arrangements available.

📝 Enhancement Note: The salary range is provided as gross per month in PLN. The estimation considers the senior experience level and the Polish market for tech roles. The benefits package is comprehensive, focusing on professional development, well-being, and work-life balance, which are attractive to senior talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence, Software Development, SaaS. nexos.ai operates at the cutting edge of AI, aiming to democratize powerful AI tools for everyday teams through an intuitive, no-code platform. This focus on AI automation and accessibility shapes its innovative and forward-thinking culture.

Company Size: While not explicitly stated, the mention of "proven startup experience" and the need to "scale the overall product experience" suggests a growing, agile organization, likely in the startup or early-stage growth phase. This implies a dynamic, hands-on environment where individual contributions have a significant impact.

Founded: The company's focus on AI and its current growth phase imply a relatively recent founding, likely capitalizing on recent advancements in AI technology. This suggests a culture that is adaptable, embraces new technologies, and is driven by a clear vision for the future of work.

Team Structure:

• The design team is likely small and highly collaborative, working closely with Product Managers and Engineers. This structure promotes direct communication and rapid decision-making.

• Reporting lines are probably lean, allowing for direct access to leadership and product strategy discussions.

• Cross-functional collaboration is essential, with designers expected to be integral to the product development lifecycle, from ideation to launch and iteration. Methodology:

• Data-Driven Design: Emphasis on using product data and user feedback to inform design decisions and measure the impact of design initiatives.

• Agile & Iterative Development: A focus on shipping Minimum Viable Products (MVPs) incrementally and continuously improving based on real-world usage.

• Continuous Discovery: Lightweight, ongoing user research and experimentation to ensure designs are validated before significant development effort.

• AI-First Approach: Designing experiences that are inherently built for AI capabilities and address the unique challenges and opportunities presented by AI.

Company Website: https://nexos.ai/

📝 Enhancement Note: The company culture is characterized by innovation in AI, a startup mentality prioritizing agility and impact, and a strong emphasis on collaborative, data-driven product development. The role demands adaptability and a proactive approach.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This level signifies a highly experienced individual contributor expected to lead significant design initiatives, mentor junior designers (if applicable), and influence product strategy. The role requires not only exceptional design craft but also strong strategic thinking, problem-solving skills, and the ability to navigate ambiguity.

Reporting Structure: The Senior Product Designer likely reports to a Head of Product, Design Lead, or a senior Product Manager. They will work closely with a dedicated Product Manager and a team of engineers, forming a core product triad.

Operations Impact: The Senior Product Designer's impact is directly tied to the success of nexos.ai's AI platform. By creating intuitive, trustworthy, and effective AI-native experiences, they will drive user adoption, engagement, and retention, ultimately contributing to the company's revenue growth and market position. Their ability to translate complex AI capabilities into user-friendly solutions is critical for the platform's success.

Growth Opportunities:

• Design Leadership: Potential to grow into a Lead Product Designer or Design Manager role as the company scales, taking on more strategic responsibilities and team leadership.

• Specialization in AI UX: Deepen expertise in designing for cutting-edge AI technologies, becoming a subject matter expert in AI-native user experiences.

• Product Strategy Influence: Contribute more significantly to product strategy, roadmapping, and business decision-making through a deep understanding of user needs and market opportunities.

• Cross-Functional Skill Development: Enhance skills in product management, data analysis, and engineering collaboration through day-to-day work and company-provided learning opportunities.

📝 Enhancement Note: This role offers significant growth potential within a rapidly evolving AI startup. The emphasis on strategic impact and specialization in AI UX provides clear career progression paths beyond traditional design roles.

🌐 Work Environment

Office Type: Fully Remote. The role is designated as "TELECOMMUTE" and explicitly states "Remote OK," with the requirement that the candidate must be located in Poland. This indicates a distributed workforce model.

Office Location(s): While fully remote, the requirement for candidates to be based in Poland suggests potential for future in-person meetups or a centralized hub, though the current setup is remote. Employees in Poland will operate within the Central European Timezone (CET).

Workspace Context:

• Collaborative Tools: Expect to utilize a suite of digital collaboration tools (e.g., Slack, Figma, Miro, Asana) to maintain seamless communication and teamwork across distances.

• Technology Stack: Access to modern design software, AI tools, and project management platforms necessary for effective remote work and product development.

• Team Interaction: Regular virtual meetings, stand-ups, design critiques, and brainstorming sessions to foster connection and shared understanding within the remote team.

Work Schedule: Flexible working hours are offered, allowing individuals to structure their workday to best suit their productivity and personal commitments, while ensuring alignment with team collaboration needs and deadlines.

📝 Enhancement Note: The fully remote setup in Poland requires strong self-discipline and excellent virtual communication skills. The flexible working hours are a significant advantage, but effective collaboration will depend on proactive engagement with the remote team.

📄 Application & Portfolio Review Process

Interview Process:

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

• Portfolio Presentation & Discussion: A session where you present selected case studies from your portfolio, discussing your process, decision-making, and impact, particularly highlighting AI-native and complex SaaS projects.

• Problem-Solving/Design Challenge: You may be asked to complete a design exercise or tackle a hypothetical problem related to AI product design, assessing your approach to ambiguity, user research, and solution ideation.

• Team/Hiring Manager Interviews: Discussions with Product Managers, Engineers, and potentially other designers or leadership to evaluate your collaboration style, cultural fit, and strategic thinking.

• Final Interview: A concluding discussion to finalize details and assess overall fit for the role and company vision.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest projects that best showcase your experience with complex SaaS products, multi-step user workflows, and AI-native design.

• Tell a Story: For each case study, clearly articulate the problem, your role, your process (discovery, ideation, iteration, validation), the challenges encountered, the trade-offs made, and the final impact (quantified with metrics where possible).

• Highlight AI Expertise: Specifically call out projects where you designed AI-powered features, detailing how you addressed user trust, AI limitations, and created intuitive AI interactions.

• Show Systems Thinking: Demonstrate how your designs fit into a larger product ecosystem and how you ensured consistency and coherence.

• Be Ready to Discuss Trade-offs: Prepare to explain why you made certain design decisions, considering constraints like time, resources, and technical feasibility.

Challenge Preparation:

• Understand the AI Context: Familiarize yourself with current trends in AI products, common user challenges with AI (e.g., hallucinations, bias, explainability), and how design can mitigate these.

• Practice Problem Decomposition: Be ready to break down ambiguous problems into smaller, manageable parts, identifying key assumptions and user needs.

• Articulate Your Process: Prepare to walk through your design process, emphasizing how you would approach discovery, ideation, prototyping, and validation in a fast-paced startup environment.

• Focus on Outcomes: Frame your responses around delivering business value and user impact, not just aesthetic solutions.

📝 Enhancement Note: The application process emphasizes a strong portfolio showcasing relevant experience, particularly in AI and complex SaaS. Candidates should be prepared to articulate their design process, decision-making rationale, and impact, with a focus on strategic thinking and problem-solving.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma is highly probable given its industry prevalence for collaborative design, prototyping, and design systems. Other tools like Sketch or Adobe XD might be used but Figma is often the primary collaboration hub.

• User Research & Collaboration: Tools such as Miro for whiteboarding and brainstorming, UserTesting.com or similar platforms for usability testing, and potentially dedicated AI-assisted research tools.

• Project Management & Communication: Jira, Asana, Trello for task management, and Slack for real-time team communication are standard for remote teams.

Analytics & Reporting:

• Product Analytics: Tools like Amplitude, Mixpanel, or Google Analytics to track user behavior, define success metrics, and inform design iterations.

• Data Visualization: Potentially tools like Tableau or Looker for more in-depth data analysis and dashboard creation, though often integrated within product analytics platforms.

CRM & Automation:

• While not a direct design tool, familiarity with CRM systems (e.g., Salesforce, HubSpot) and marketing automation platforms can provide context for user journeys and business goals.

• Understanding of modern web technologies and basic technical concepts is required, suggesting familiarity with front-end frameworks (e.g., React, Vue) and API concepts to inform design feasibility.

📝 Enhancement Note: The technology stack will likely revolve around industry-standard design and collaboration tools, with a strong emphasis on product analytics for data-driven decision-making. Familiarity with these tools is crucial for effective collaboration in a remote, AI-focused environment.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Curiosity: A deep-seated interest in Artificial Intelligence and its potential to transform work, driving a culture of exploration and experimentation.

• Problem-Solving Agility: A focus on tackling complex problems with creative, user-centric solutions, adapting quickly to new information and challenges.

• Data-Driven Decision Making: Commitment to using data and user insights to guide product development and measure the effectiveness of design choices.

• Collaboration & Open Communication: A value placed on transparent communication, constructive feedback, and working together across disciplines to achieve common goals.

• User-Centricity: A dedication to understanding and serving user needs, ensuring that technology enhances productivity and creates positive experiences.

• Bias for Action: A culture that encourages taking initiative, shipping iterative products, and learning from real-world implementation rather than delaying for perfection.

Collaboration Style:

• Cross-Functional Synergy: Designers are embedded within product teams, working hand-in-hand with Product Managers and Engineers to co-create solutions.

• Feedback-Rich Environment: Encourages regular design critiques and open dialogue to foster continuous improvement and shared learning.

• Knowledge Sharing: A culture of sharing best practices, design patterns, and learnings across the team to elevate collective expertise.

• Iterative Improvement: A collaborative spirit focused on continuous refinement of both the product and internal processes.

📝 Enhancement Note: The culture values innovation, agility, and collaboration, with a strong emphasis on leveraging AI and data to drive product success. The Senior Product Designer is expected to embody these values and contribute to a high-performing, user-focused team.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Ambiguity: Effectively designing user experiences that manage AI hallucinations, latency, and model limitations while maintaining user trust and clarity.

• Balancing Speed and Quality: Navigating the startup imperative to ship quickly with the need for high-quality, user-centered design, especially in a complex AI domain.

• Defining and Measuring AI Product Success: Establishing meaningful metrics for AI-powered features and demonstrating their impact on user engagement and business outcomes.

• Evolving AI Landscape: Staying abreast of rapid advancements in AI technology and translating them into innovative design solutions within the platform.

• Remote Collaboration Dynamics: Ensuring effective communication, alignment, and creativity within a fully remote, distributed team environment.

Learning & Development Opportunities:

• AI UX Specialization: Opportunities to become a leading expert in designing for AI, attending specialized workshops, conferences, and taking online courses focused on AI ethics, explainability, and user interaction with AI.

• Product Strategy Involvement: Gain deeper exposure to product roadmap planning, market analysis, and strategic decision-making within a fast-growing AI company.

• Mentorship and Skill Development: Access to internal and external training programs, mentorship from experienced product leaders, and opportunities to develop leadership skills.

• Cross-Disciplinary Learning: Working closely with engineering and product teams to deepen understanding of technical constraints, AI model development, and business operations.

📝 Enhancement Note: The role presents exciting challenges at the forefront of AI product design. The company's commitment to professional growth offers ample opportunities for specialization, strategic development, and skill enhancement in a dynamic field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led problem discovery for a complex product. What was your process, and how did you ensure you were solving the right problem?" (Prepare with a STAR method example focusing on discovery, user research, and problem validation.)

• "How do you approach designing AI-native experiences, particularly when dealing with potential AI hallucinations or latency? Walk us through an example." (Focus on building trust, managing user expectations, and designing fallback mechanisms.)

• "Imagine you need to design a feature for our AI platform that automates a common team task. How would you prioritize between speed (shipping an MVP quickly) and quality (thorough research and polish)?" (Discuss iterative development, defining MVP scope, and continuous feedback loops.) Company & Culture Questions:

• "What interests you most about nexos.ai and our mission to build an all-in-one AI platform?" (Research the company's vision, target audience, and the specific problem they are solving.)

• "How do you foster collaboration and communicate design decisions effectively within a remote, cross-functional team?" (Highlight your experience with collaboration tools and your proactive communication style.)

• "How do you measure the success of your design work, particularly for AI-powered features?" (Prepare to discuss key metrics like user adoption, task completion rates, user satisfaction, and trust scores.) Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview of the company and the problem, then dive into your specific role, process, challenges, solutions, and finally, the quantifiable impact.

• Visual Storytelling: Use clear, concise visuals (mockups, prototypes, user flows) to illustrate your design process and final solutions. Avoid dense text on slides.

• Focus on "Why": For each design decision, be prepared to explain the rationale behind it, referencing user research, data, or strategic goals.

• Highlight AI Nuances: Clearly articulate how you addressed specific challenges related to AI, such as explainability, bias mitigation, and user trust.

• Engage and Interact: Be ready to answer in-depth questions about your process and decisions, and actively engage with the interviewers.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, problem-solving skills, and a deep understanding of AI product design principles. Candidates must be ready to articulate their process, justify their decisions, and showcase their impact through concrete examples.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your resume and portfolio to highlight your experience with complex SaaS products, AI-native design, user research, and systems thinking. Ensure your portfolio prominently features case studies demonstrating end-to-end product design work.

• Resume Optimization: Clearly articulate your years of experience, specific contributions to previous startups, and any experience with AI tools or complex systems. Use keywords from the job description to ensure ATS compatibility.

• Prepare Your Narrative: Practice walking through your selected portfolio case studies, focusing on problem discovery, your design process, the trade-offs you made, and the measurable impact of your work. Be ready to discuss your approach to AI-specific design challenges.

• Research nexos.ai: Understand the company's mission, product, target audience, and the AI technologies they are leveraging. Prepare thoughtful questions about their product vision, design challenges, and team culture.

⚠️ 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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