Product Designer | Senior

📍 Job Overview

Job Title: Product Designer | Senior

Company: Nexos.ai

Location: Kaunas, Lithuania

Job Type: FULL_TIME

Category: Product Design / UX/UI Design

Date Posted: 2026-09-01

Experience Level: 5-10 Years

Remote Status: Remote (Lithuania-based)

🚀 Role Summary

• Drive product strategy and innovation by leading problem discovery and defining AI-native user experiences.

• Collaborate closely with Product Managers and Engineering to navigate ambiguity and shape robust solutions.

• Utilize rapid experimentation, prototyping, and lightweight user research to validate design decisions before development.

• Design for trust and usability in AI-powered systems, accounting for potential AI limitations like hallucinations and latency.

• Champion a systems-thinking approach to ensure product ecosystem coherence and consistency.

• Balance iterative development (MVPs) with a long-term product vision, continuously improving based on user feedback.

📝 Enhancement Note: This role requires a Senior Product Designer with a strong emphasis on AI-native experiences and a startup mentality. The focus is on problem discovery and end-to-end design ownership, rather than just UI execution. The "remote" status implies that while the role is remote, it is likely intended for candidates residing within Lithuania, as indicated by the location requirements.

📈 Primary Responsibilities

• Lead comprehensive problem discovery initiatives, moving beyond solution design to deeply understand user and business needs.

• Drive the design process for AI-native products, ensuring user trust and addressing the unique challenges of AI (hallucinations, latency).

• Conduct continuous, lightweight user research, leveraging AI-assisted tools to gather insights efficiently and inform design iterations.

• Develop and validate design solutions through rapid prototyping, experiments, and user testing before committing to full development.

• Champion a systems-first design philosophy to create a coherent and consistent product ecosystem.

• Manage multiple design tasks concurrently, prioritizing effectively to meet deadlines and quality standards.

• Contribute to the evolution of design patterns and best practices, helping to scale the overall product experience.

• Collaborate closely with Product Managers and Engineering teams to translate complex requirements into intuitive user interfaces and workflows.

• Focus on defining and tracking success metrics, using data to guide design improvements and product iteration.

• Maintain a balance between shipping imperfect MVPs quickly and upholding the long-term product vision.

📝 Enhancement Note: The responsibilities emphasize a proactive, research-driven approach to product design, with a strong focus on AI specific challenges and iterative development cycles common in startup environments. The role requires a candidate who can operate independently while fostering strong cross-functional collaboration.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent knowledge and experience in Product Design, Human-Computer Interaction, or a related field is essential.

Experience:

• 5-10 years of proven experience in Product Design, with a significant portion in fast-paced startup environments.

• Demonstrated experience designing complex SaaS products, multi-step user workflows, and mobile applications.

• Hands-on experience with end-to-end product design, from problem discovery to post-launch iteration. Required Skills:

• Systems Thinking: Ability to design holistic product ecosystems rather than isolated features.

• AI-Native Design: Experience designing user experiences for AI-powered products, understanding AI limitations and trust factors.

• Problem Discovery: Proven ability to lead user and market problem identification.

• Rapid Experimentation & Prototyping: Skill in quickly building and testing design concepts.

• User Research: Hands-on experience with user interviews, usability testing, and other UX research techniques.

• Data Analysis for Design: Capability to define success metrics and use product data to inform design decisions.

• Cross-functional Collaboration: Proven ability to work effectively with Product Managers and Engineers.

• Communication: Clear and concise articulation of design trade-offs, constraints, and rationale.

• Startup Adaptability: Proven ability to thrive in a dynamic startup environment and adapt processes as needed.

• Familiarity with Modern Web Technologies: Basic technical understanding to inform design decisions.

Preferred Skills:

• AI Tool Utilization: Active use of AI tools to enhance personal design workflows.

• No-code Platform Design: Experience designing or working with no-code solutions.

• Mobile Application Design: Specific expertise in mobile-first or mobile application design.

📝 Enhancement Note: The "5-10 Years" experience level is inferred from the "Senior" title and the depth of responsibilities, which typically require seasoned professionals. The emphasis on startup experience suggests a need for adaptability and a bias for action over rigid process adherence.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase projects that demonstrate ownership from initial problem discovery through to launch and iteration.

• Complex SaaS Products: Highlight experience designing for sophisticated Software-as-a-Service platforms.

• Multi-Step User Workflows: Present examples of designing intuitive and efficient complex user journeys.

• Mobile Applications: Include designs for mobile platforms, demonstrating mobile-first or responsive design expertise.

• AI-Powered Product Design: Specifically feature projects where AI was a core component of the user experience.

Process Documentation:

• Problem Discovery Frameworks: Demonstrate how you identify and validate user problems.

• Design Validation Methods: Showcase your approach to testing and iterating on designs through prototypes, experiments, and user feedback.

• Data-Driven Iteration: Illustrate how you use metrics and analytics to refine product designs post-launch.

• Systems Design Documentation: Provide examples of how you ensure coherence and consistency across a product ecosystem.

📝 Enhancement Note: The portfolio requirements are directly extracted from the job description's "NOTE" section and elaborated upon to emphasize the depth of end-to-end product design and AI-specific considerations expected from a senior candidate.

💵 Compensation & Benefits

Salary Range: Gross salary is 4500-6000 EUR/month. This range is competitive for a Senior Product Designer role in Lithuania, especially within the tech sector focusing on AI and SaaS.

Benefits:

• Professional Development: Access to internal/external training, online courses, conferences, and books for continuous learning and skill enhancement.

• Health & Wellness: Comprehensive private health insurance, on-site or online workouts, and sports access cards for physical and mental well-being.

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

• Work-Life Balance: Additional vacation days accrue with tenure, and extra paid leave is provided for illness or special occasions.

• Flexibility: Flexible working time arrangements to accommodate personal needs and optimize productivity.

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

📝 Enhancement Note: The salary range is explicitly stated in the job description. The benefits are detailed and tailored towards professional growth, well-being, and work-life balance, which are attractive to experienced professionals in the tech industry. The "flexible working time" benefit aligns with the remote and startup culture described.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) Platform, SaaS, Technology. Nexos.ai is positioned at the forefront of the AI revolution, aiming to transform how teams work by automating routine tasks and making powerful AI accessible via a no-code platform.

Company Size: The provided data does not specify company size, but the emphasis on "startup experience," "shipping imperfect MVPs in small increments," and "adapting and dropping rigid processes" suggests a lean, agile, and potentially rapidly growing organization.

Founded: Company founding date is not provided. However, the focus on building an "all-in-one AI platform" implies a company with a clear vision and a drive for innovation in a competitive AI market.

Team Structure:

• Cross-functional Collaboration: The role explicitly requires close collaboration with Product Managers and Engineering teams, indicating a highly integrated team structure.

• Agile Development: The emphasis on iterative development, shipping MVPs, and continuous feedback suggests an agile or lean development methodology.

• Ownership & Initiative: The expectation to "take initiative and help define what needs to be done" points to a culture that values proactive team members who drive their own work.

Methodology:

• AI-Centric Design: A core methodology will be designing user experiences that are intuitive, trustworthy, and account for the specific nuances of AI technologies.

• Lean & Iterative: The company likely employs lean principles, focusing on rapid experimentation, validation, and iterative improvements based on user data and feedback.

• Data-Driven Decision Making: Success metrics are crucial, and design decisions are expected to be guided by product data and user insights.

Company Website: https://nexos.ai/

📝 Enhancement Note: The company culture is characterized by innovation, agility, and a strong focus on AI. The size is inferred to be a startup or early-stage growth company, which means candidates should expect a dynamic environment where they can have significant impact.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Product Designer role. It signifies a high level of autonomy, responsibility for complex projects, and the expectation to lead design initiatives rather than just execute tasks. It implies a significant level of experience and a proven track record in product design, particularly within challenging environments like startups and AI product development.

Reporting Structure: While not explicitly stated, Senior Product Designers typically report to a Head of Product, Design Lead, or a Product Manager. The emphasis on collaboration suggests seamless interaction with Product Managers and Engineering leads.

Operations Impact: The role has a direct impact on the company's success by shaping the core user experience of an AI platform. Effective AI-native design can drive user adoption, retention, and ultimately, revenue by making complex AI accessible and trustworthy. The designer's work directly influences how users perceive and interact with the AI, impacting the product's market competitiveness and user satisfaction.

Growth Opportunities:

• Leadership in AI Design: Opportunity to become a subject matter expert in AI-native UX, a rapidly growing and in-demand field.

• Product Strategy Influence: Contribute significantly to the product roadmap and long-term vision due to the senior nature of the role and direct collaboration with product leadership.

• Skill Specialization: Deepen expertise in areas like complex SaaS design, user research automation, and designing for AI trust.

• Startup Growth: Potential for significant career advancement and increased responsibility as the company scales.

• Mentorship: Opportunity to mentor junior designers as the team grows.

📝 Enhancement Note: The growth analysis focuses on how a senior product designer can leverage this role to build expertise in AI and gain influence within a growing tech company, positioning them for future leadership opportunities.

🌐 Work Environment

Office Type: The job is advertised as TELECOMMUTE, with a primary location in Kaunas, Lithuania. However, the "remote_derived" status suggests it's a fully remote position, likely within Lithuania. The company offers both "online & on-site workouts (LT)" which implies there might be a physical presence or hub in Lithuania, or at least a strong connection to the region for local employees.

Office Location(s): Kaunas, Lithuania. The mention of on-site workouts suggests a potential physical office or co-working space in Kaunas, offering a hybrid option for local employees if desired, though the core posting is remote.

Workspace Context:

• Remote Autonomy: Expect a work environment that supports independent work and self-management, typical of remote roles.

• Collaborative Tools: Access to digital collaboration tools will be essential for seamless communication and design handoffs with geographically distributed or remote teams.

• AI-Enhanced Workflow: The company's mission implies an environment where AI tools are integrated into daily workflows, including design processes.

• Agile & Dynamic: The startup nature suggests a fast-paced, dynamic environment where adaptability is key.

Work Schedule: Flexible working time arrangements are offered, allowing employees to structure their workday around core collaboration hours and personal needs, while maintaining approximately 40 hours per week.

📝 Enhancement Note: The work environment is primarily remote, with potential for hybrid engagement in Kaunas, Lithuania, indicated by the mention of on-site benefits. The flexible hours and remote nature are key aspects for operations professionals seeking work-life balance.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess basic qualifications and alignment with the role.

• Portfolio Deep Dive: A session focused on your portfolio, where you'll be expected to walk through case studies, explain your design process, and discuss your contributions to specific projects. Be prepared to articulate trade-offs, constraints, and reasoning behind your design decisions.

• Problem Discovery & Design Challenge: You may be given a design challenge or asked to discuss how you would approach a specific problem discovery scenario relevant to Nexos.ai's platform. This will assess your strategic thinking and problem-solving skills.

• Cross-functional Interviews: Discussions with Product Managers and Engineers to evaluate your collaboration style, communication skills, and ability to integrate with the existing team.

• Cultural Fit & Vision Alignment: An assessment to determine if your working style and values align with Nexos.ai's startup culture and AI-driven mission.

Portfolio Review Tips:

• Highlight AI & SaaS Experience: Prioritize case studies showcasing complex SaaS products and AI-native experiences.

• Demonstrate End-to-End Ownership: Clearly articulate your role and contributions from problem definition to solution implementation and iteration.

• Showcase Process, Not Just Pixels: Explain your design thinking, research methods, validation techniques, and how you used data to drive decisions.

• Quantify Impact: Where possible, use metrics to demonstrate the success of your designs (e.g., improved conversion rates, reduced task completion time, increased user trust).

• Address AI Nuances: For AI projects, discuss how you handled challenges like hallucinations, latency, and user trust.

• Be Ready for "Why": Be prepared to explain the rationale behind every design choice and defend your decisions with user insights or business objectives.

Challenge Preparation:

• Understand Nexos.ai: Research the company's mission, product, target audience, and competitive landscape.

• AI Design Principles: Familiarize yourself with best practices for designing AI-powered interfaces, focusing on transparency, control, and user confidence.

• Problem Framing: Practice framing ambiguous problems and outlining a structured approach to discovery and solutioning.

• Systems Thinking: Prepare to discuss how you would ensure a cohesive experience across different parts of a complex platform.

📝 Enhancement Note: This section provides a structured approach to the interview process and portfolio presentation, emphasizing the specific requirements of a Senior Product Designer role focused on AI and startups.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), InVision, ProtoPie (or similar advanced prototyping tools).

• User Research & Testing: UserTesting.com, Maze, Lookback, Hotjar, SurveyMonkey, or similar platforms for conducting user interviews, usability testing, and gathering feedback.

• Collaboration & Project Management: Jira, Asana, Trello, Slack, Notion, Confluence for team communication, task management, and documentation.

Analytics & Reporting:

• Product Analytics: Google Analytics, Mixpanel, Amplitude, Pendo, or similar tools for tracking user behavior, defining success metrics, and analyzing product data.

• Data Visualization: Tools like Tableau or Power BI might be used indirectly or by analytics teams, but designers should be comfortable interpreting data visualizations.

CRM & Automation:

• CRM: While not directly a designer's tool, familiarity with CRM systems (e.g., Salesforce, HubSpot) can provide context for user journeys and data flow.

• Automation Tools: Understanding of how automation impacts user workflows and experiences will be beneficial, especially given the company's focus on automating routine tasks.

📝 Enhancement Note: The tools listed are standard for senior product designers, with an emphasis on those that support rapid iteration, user research, and data-driven decision-making, aligning with the job description's requirements.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Exploration: A strong drive to push the boundaries of AI application and user experience.

• Problem-Solving Focus: A commitment to tackling complex user and business challenges head-on.

• User-Centricity & Trust: Dedication to creating intuitive, reliable, and trustworthy AI experiences.

• Agility & Iteration: Embracing a dynamic approach, with a willingness to experiment, learn, and adapt quickly.

• Collaboration & Transparency: Valuing open communication and teamwork across functions.

• Efficiency & Impact: A focus on delivering measurable results and automating routine tasks to empower teams.

Collaboration Style:

• Partnership with Product & Engineering: A close, integrated working relationship where design is seen as a strategic partner from discovery through development.

• Data-Informed Discussions: Collaboration heavily relies on data, user insights, and validated hypotheses to guide decisions.

• Feedback-Rich Environment: Openness to giving and receiving constructive feedback to continuously improve designs and processes.

• Proactive Communication: Expectation of proactive updates, clear articulation of needs, and timely responses to foster smooth cross-functional workflows.

📝 Enhancement Note: These values and collaboration styles are inferred from the company's mission, the role's responsibilities, and the typical culture of innovative tech startups focused on AI.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Uncertainty: Navigating the inherent unpredictability of AI (hallucinations, model limitations) while building user trust and ensuring a seamless experience.

• Balancing Speed and Quality: The startup imperative to ship quickly versus the need for robust, well-considered design solutions.

• Defining Novel Experiences: Creating intuitive user interfaces for a new category of AI-powered, no-code tools where established patterns may not exist.

• Cross-functional Alignment: Ensuring consistent vision and execution across Product, Engineering, and Design in a fast-paced environment.

• Remote Collaboration: Maintaining strong team cohesion and effective communication in a fully remote setting.

Learning & Development Opportunities:

• AI UX Specialization: Become a leader in the niche field of AI-native user experience design.

• Product Strategy Immersion: Gain deep insights into product roadmap development and business strategy through close collaboration with leadership.

• Startup Growth Acumen: Develop a strong understanding of scaling a tech product and company from the ground up.

• Advanced Design Techniques: Explore and implement cutting-edge design methodologies, including AI-assisted design tools.

• Mentorship and Leadership: Potential to mentor junior team members and take on design leadership responsibilities as the company expands.

📝 Enhancement Note: Challenges are derived from the unique aspects of AI product design and the startup environment. Growth opportunities highlight how this role can be a springboard for advanced specialization and leadership.

💡 Interview Preparation

Strategy Questions:

• "How would you approach discovering the core problems our target users face with existing AI tools for productivity?" (Focus on your problem discovery framework, user research methods, and how you'd validate assumptions.)

• "Describe a time you had to design an AI-powered feature. What were the biggest challenges, and how did you address them to build user trust?" (Prepare a case study highlighting your understanding of AI limitations and UX solutions.)

• "How do you balance the need to ship a Minimum Viable Product (MVP) quickly with ensuring a high-quality, long-term product experience?" (Discuss your iterative design process, feedback loops, and prioritization strategies.)

• "Imagine we're building a no-code AI platform. How would you ensure the user experience is both powerful and easy to understand for non-technical users?" (Focus on simplification, intuitive interfaces, and clear communication of AI capabilities.) Company & Culture Questions:

• "What interests you most about Nexos.ai and our mission to build an all-in-one AI platform?" (Research the company, its vision, and articulate your alignment.)

• "How do you thrive in a startup environment? What's your experience with adapting processes and working with ambiguity?" (Highlight your flexibility, proactivity, and comfort with change.)

• "Describe your ideal collaboration with Product Managers and Engineers. How do you handle disagreements or differing priorities?" (Emphasize communication, empathy, and a shared goal orientation.)

• "How do you measure the success of your design work, beyond just aesthetics?" (Discuss your approach to defining metrics and using data for design iteration.) Portfolio Presentation Strategy:

• Structure Your Case Studies: Use a clear narrative: Problem -> Your Role -> Process -> Solution -> Outcome/Impact.

• Emphasize AI & SaaS: Lead with projects that best demonstrate your experience in these critical areas.

• Show Your Thinking: Don't just show final screens. Explain your wireframes, user flows, research insights, and design iterations.

• Quantify Results: Use data and metrics to back up the success of your designs whenever possible.

• Be Concise and Engaging: Practice your presentation to stay within time limits and keep your audience engaged. Focus on the "why" behind your decisions.

📝 Enhancement Note: These questions are crafted to probe the core competencies outlined in the job description, specifically targeting AI design, problem discovery, startup adaptability, and data-driven iteration.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on Ashby.

• Tailor Your Resume: Highlight your experience with complex SaaS products, AI-powered systems, startup environments, and end-to-end product design. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best showcase your ability to tackle complex problems, design AI-native experiences, and drive impact. Ensure they demonstrate your full design process from discovery to iteration.

• Prepare Your Portfolio Walkthrough: Practice presenting your case studies, focusing on explaining your strategic thinking, research methods, design rationale, and measurable outcomes. Be ready to discuss your experience with AI and startups specifically.

• Research Nexos.ai: Understand their mission, product, and target market. Be prepared to articulate why you are a good fit for their AI-focused, startup 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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