Product Designer | Senior
📍 Job Overview
Job Title: Product Designer | Senior
Company: nexos.ai
Location: Vilnius, Lithuania
Job Type: FULL_TIME
Category: Product Design / UX/UI
Date Posted: 2026-09-01
Experience Level: Senior (5-10 years)
Remote Status: Fully Remote (within Lithuania)
🚀 Role Summary
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Design and lead the discovery of complex problems within an AI-native platform, focusing on user needs and business outcomes.
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Develop and validate AI-powered user experiences, carefully considering AI limitations such as hallucinations and latency.
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Drive the end-to-end product design process, from problem definition and user research to rapid experimentation, prototyping, and iterative development.
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Foster a systems-thinking approach to ensure product ecosystem coherence and consistency across all touchpoints.
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Collaborate closely with Product Managers and Engineering teams to navigate ambiguity and deliver high-quality, impactful solutions in an agile startup environment.
📝 Enhancement Note: While the role is explicitly for a Product Designer, the emphasis on AI-native experiences, problem discovery, and collaboration with Product Managers and Engineering suggests a strong need for operational understanding of the product development lifecycle, akin to a Product Operations or GTM-focused design role. The requirement to "think system-first" and "balance speed and quality while shipping imperfect MVPs" highlights an operational imperative for efficient, iterative product delivery.
📈 Primary Responsibilities
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Lead comprehensive problem discovery initiatives, identifying unmet user needs and business opportunities within the AI platform context.
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Design and prototype AI-native user experiences that build trust and effectively manage user expectations around AI capabilities and limitations.
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Conduct continuous, lightweight user research, leveraging AI-assisted tools to gather insights efficiently and inform design decisions.
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Define success metrics for new features and design iterations, utilizing product data to drive continuous improvement and validate design hypotheses.
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Develop and maintain a coherent and consistent product ecosystem by applying a system-first design methodology.
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Collaborate cross-functionally with Product Managers and Engineering to translate complex requirements into intuitive and effective design solutions.
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Execute rapid experiments and build prototypes to validate design concepts and assumptions before full-scale development.
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Balance multiple design projects simultaneously, prioritizing tasks effectively to meet deadlines and maintain high-quality standards.
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Contribute to the evolution of design patterns and best practices within the product team, fostering a culture of continuous learning and improvement.
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Ensure design solutions align with both user problems and organizational outcomes, focusing on tangible business impact.
📝 Enhancement Note: The emphasis on "problem discovery, not just execute solution design" and "identifying key assumptions in a product idea and validate them quickly" indicates a need for a designer who can operate with a degree of product strategy and operational rigor, going beyond purely visual design execution.
🎓 Skills & Qualifications
Education: While no specific degree is mandated, a strong understanding of UX principles, design thinking, and product development methodologies is essential. Candidates with degrees in Design, Human-Computer Interaction, Computer Science, or related fields will find their background beneficial.
Experience:
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Proven startup experience with a demonstrated ability to adapt to fast-paced environments and flexible processes.
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5-10 years of experience in product design, with a significant focus on complex SaaS products and multi-step user workflows.
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Experience designing AI-powered systems or complex technical products, showcasing a systems-thinking approach. Required Skills:
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Product Design Leadership: Ability to lead the design process from conception to execution, driving initiatives independently.
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AI-Native Experience Design: Expertise in designing user interfaces and workflows for AI-driven products, understanding and mitigating AI limitations (hallucinations, latency).
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Systems Thinking: Capability to design cohesive product ecosystems and ensure consistency across all user touchpoints.
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Problem Discovery & Validation: Proficiency in identifying user problems, formulating hypotheses, and validating them through rapid experimentation, prototyping, and user research.
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User Research & Insights: Hands-on experience with various user research methods, including user interviews, usability testing, and analytics interpretation.
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Data-Driven Design: Experience in defining success metrics and using product data to inform design iterations and improvements.
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Prototyping & Experimentation: Skill in creating interactive prototypes and designing/executing rapid experiments to validate design decisions.
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Communication & Collaboration: Excellent verbal and written communication skills, with the ability to articulate trade-offs, constraints, and design rationale clearly to cross-functional teams.
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Adaptability & Agility: Proven ability to thrive in a startup environment, adapt to changing priorities, and manage multiple tasks effectively.
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Technical Aptitude: Basic understanding of modern web technologies and their implications for design.
Preferred Skills:
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Active utilization of AI tools to enhance personal design workflows and productivity.
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Experience designing for mobile applications.
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Familiarity with modern web technologies and their impact on UX.
📝 Enhancement Note: The "Core Requirements" list is extensive and detailed, covering both hard and soft skills crucial for a senior role in a dynamic startup. The emphasis on "startup experience," "adapt and drop rigid processes," and "balance speed and quality while shipping imperfect MVPs" points towards a candidate who can operate effectively in a lean, agile product development environment.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase end-to-end product design work on complex SaaS products, demonstrating a deep understanding of user workflows and business objectives.
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Highlight projects involving multi-step user journeys, emphasizing intuitive navigation and efficient task completion.
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Include case studies that specifically address the design of AI-powered features or complex systems, detailing the approach to AI limitations and user trust.
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Present mobile application design examples, if applicable, to demonstrate versatility across platforms.
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Clearly articulate the problem, your role, the design process, trade-offs considered, and the measurable impact of your solutions. Process Documentation:
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Demonstrate a structured approach to problem discovery, including methodologies used for identifying and validating user needs.
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Illustrate the application of rapid experimentation and prototyping techniques to test design hypotheses and gather user feedback.
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Provide examples of how data and analytics were used to inform design iterations and measure the success of design solutions.
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Showcase how system-first thinking was applied to ensure product coherence and consistency across the user experience.
📝 Enhancement Note: The explicit mention of "portfolio, particularly highlighting projects focused on complex SaaS products, multi-step user workflows and mobile applications. Case studies showcasing end-to-end product design work are highly appreciated" directly guides applicants on what to prepare. The emphasis on "end-to-end product design work" and "case studies" indicates a need for a portfolio that tells a story of problem-solving and impact, not just a collection of UI screens.
💵 Compensation & Benefits
Salary Range:
Gross salary is 4500-6000 EUR/month.
📝 Enhancement Note: This salary range is competitive for a Senior Product Designer in Vilnius, Lithuania, considering the demand for specialized skills in AI and SaaS product development. The gross monthly salary translates to approximately €54,000 - €72,000 annually before taxes, which aligns with senior-level tech roles in the region, especially for companies operating in fast-growing sectors like AI.
Benefits:
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Professional Growth: Access to internal and external training, online courses, conferences, and books to support continuous learning and skill development.
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Health & Wellness: Comprehensive private health insurance, on-site or online workouts (Lithuania), sports access card (Poland), and consultations to promote employee well-being.
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Team Engagement: Regular team-building events, parties, games, shows, tastings, and food coupons designed to foster a strong team spirit and camaraderie.
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Additional Time Off: Extra vacation days are awarded for tenure with the company, recognizing employee loyalty.
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Paid Leave: Additional paid leave days provided for instances of illness or special occasions, offering support during important personal times.
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Flexible Work Schedule: Flexible working time arrangements to accommodate individual needs and promote work-life balance.
Working Hours: 40 hours per week, with flexibility in scheduling.
📝 Enhancement Note: The benefits package is comprehensive, catering to professional development, health, work-life balance, and team cohesion, which are key attractors for senior talent in the tech industry. The mention of "flexible working time arrangement" is particularly relevant for operations-minded professionals who value autonomy in managing their schedules.
🎯 Team & Company Context
🏢 Company Culture
Industry: Artificial Intelligence (AI) Platform / Software as a Service (SaaS)
Company Size: Likely growing startup (specific size not provided, but Ashby job postings often indicate early to mid-stage growth)
Founded: nexos.ai was founded with the mission to build an "all-in-one AI platform to help teams do their best work and automate every routine task." The company is focused on transforming powerful AI into an easy, no-code tool for teams.
Team Structure:
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The Product Design team likely operates within a cross-functional pod structure, working closely with Product Managers and Engineering.
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Collaboration is emphasized, with designers expected to "share feedback, improve design patterns, and help scale the overall product experience."
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A culture of continuous discovery and iteration is fostered, where designers are encouraged to "take initiative and help define what needs to be done."
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The company values problem-solvers who can navigate ambiguity and contribute to defining the product roadmap. Methodology:
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Agile & Lean Product Development: Emphasis on shipping imperfect MVPs in small increments and continuously improving with user feedback.
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Continuous Discovery: Lightweight, AI-assisted user research to inform design decisions rapidly.
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Experimentation: Running rapid experiments and building prototypes to validate design concepts.
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Data-Driven Iteration: Using defined success metrics and product data to guide design evolution.
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Systems-First Design: Ensuring coherence and consistency across the entire product ecosystem.
Company Website: https://nexos.ai/
📝 Enhancement Note: The company's focus on "AI revolution" and building an "all-in-one AI platform" positions it at the forefront of technological innovation. The culture described leans towards a fast-paced, agile startup environment where designers play a crucial role in shaping the product strategy and user experience, requiring a blend of creative design skills and operational product thinking.
📈 Career & Growth Analysis
Operations Career Level: Senior Product Designer. This role is positioned as a key individual contributor responsible for significant aspects of product design, problem discovery, and strategy. It requires a high degree of autonomy and the ability to influence product direction.
Reporting Structure: While not explicitly stated, a Senior Product Designer typically reports to a Head of Product, Design Lead, or a Director of Product. They will work closely with Product Managers and Engineering leads.
Operations Impact: The role's impact is directly tied to the successful development and adoption of the nexos.ai platform. By designing intuitive, AI-native experiences, the Senior Product Designer will influence user trust, platform efficiency, and the overall success of the company's mission to automate routine tasks for teams. Their work will directly contribute to the product's market fit, user satisfaction, and ultimately, revenue generation.
Growth Opportunities:
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Specialization in AI UX: Deepen expertise in designing for cutting-edge AI technologies, a highly in-demand skill set.
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Product Strategy Influence: Contribute significantly to product roadmap decisions through problem discovery and validation.
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Leadership Development: Potential to mentor junior designers or take on more strategic design leadership roles as the company scales.
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Cross-functional Mastery: Develop strong collaboration skills with Product Management and Engineering, enhancing overall product development acumen.
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Impactful Product Ownership: Drive the design vision for key features and product areas, seeing direct results from their work.
📝 Enhancement Note: The "Senior" title, coupled with responsibilities like "lead problem discovery" and "define what needs to be done," suggests significant autonomy and potential for growth beyond traditional design execution. This role offers a pathway to become a thought leader within a rapidly evolving AI product space.
🌐 Work Environment
Office Type: The role is advertised as "TELECOMMUTE" with "location_requirements_raw" specifying "Lithuania," indicating a fully remote position for candidates residing in Lithuania. This suggests a distributed or remote-first work culture.
Office Location(s): While the role is remote, the company has a presence and potentially an office in Vilnius, Lithuania, as indicated by the location data. The job posting originates from Ashby, a platform often used by tech companies with a significant presence in various tech hubs.
Workspace Context:
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Remote Collaboration Tools: Expect heavy reliance on digital collaboration tools (e.g., Slack, Zoom, Figma, Miro) to maintain team connection and workflow efficiency.
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Flexible Work Environment: The "Flexible working time arrangement" benefit underscores a culture that values autonomy and results over strict adherence to office hours.
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Cross-functional Interaction: Opportunities to collaborate closely with Product Managers and Engineers, fostering a dynamic and interactive work environment, albeit remotely.
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Focus on Efficiency: The company's mission to automate tasks and the designer's role in streamlining workflows suggest an environment that values efficiency and smart work.
Work Schedule: Standard full-time hours (40 hours/week) with a flexible working time arrangement, allowing for autonomy in structuring the workday.
📝 Enhancement Note: The fully remote nature of the role, combined with the Lithuania-specific requirement, suggests the company might have a strong engineering or product presence in Lithuania, or is leveraging talent pools within the country for remote roles. The emphasis on flexibility and remote collaboration is a key aspect of the work environment.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: Review of application, resume, and portfolio for relevant experience and alignment with role requirements.
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Portfolio Review & Discussion: A deep dive into your portfolio, focusing on case studies, your role in projects, design process, problem-solving approach, and impact. Expect to discuss specific projects related to complex SaaS, multi-step workflows, and AI-native experiences.
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Design Challenge/Exercise: Potentially a take-home assignment or a live design exercise focused on problem discovery, system thinking, or designing an AI-native feature. This will assess your practical skills and approach.
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Cross-functional Interviews: Interviews with Product Managers and Engineering leads to assess collaboration style, communication skills, understanding of technical constraints, and ability to navigate ambiguity.
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Hiring Manager/Leadership Interview: Final interview to assess cultural fit, strategic thinking, and overall alignment with the company's vision and values.
Portfolio Review Tips:
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Structure Your Case Studies: For each project, clearly outline the problem, your specific contributions, the design process, key decisions and trade-offs, and the measurable outcomes.
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Highlight AI & Complexity: Emphasize projects involving AI, complex systems, and multi-step user workflows. Detail how you addressed AI limitations (hallucinations, trust) and ensured system coherence.
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Show, Don't Just Tell: Use visuals, prototypes, and user flows to illustrate your design solutions. Explain your reasoning behind design choices.
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Quantify Impact: Where possible, use data and metrics to demonstrate the success of your designs (e.g., increased conversion rates, improved task completion times, user satisfaction scores).
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Tailor to Nexos.ai: Ensure your portfolio reflects an understanding of nexos.ai's mission and the types of problems they are solving in the AI platform space.
Challenge Preparation:
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Problem Discovery Focus: Be prepared to articulate how you would approach understanding a new problem space or user need.
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Systems Thinking Exercises: Practice thinking about how different parts of a product ecosystem interact and how to maintain consistency.
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AI Design Scenarios: Consider how you would design user experiences that build trust and manage expectations for AI-generated content or actions.
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Trade-off Articulation: Be ready to discuss the compromises you make in design (e.g., speed vs. perfection, feature scope) and your rationale.
📝 Enhancement Note: The emphasis on a "portfolio, particularly highlighting projects focused on complex SaaS products, multi-step user workflows and mobile applications. Case studies showcasing end-to-end product design work are highly appreciated" is a critical piece of information for applicants. The interview process will likely scrutinize how well candidates can demonstrate these specific skills and experiences.
🛠 Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma (highly probable, industry standard), Sketch, Adobe Creative Suite.
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Collaboration & Communication: Slack, Zoom, Google Workspace (or similar productivity suite).
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User Research & Testing: Tools for conducting user interviews, usability testing, and surveys (e.g., UserTesting.com, Maze, SurveyMonkey).
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Analytics & Data Visualization: Tools for tracking user behavior and product performance (e.g., Google Analytics, Mixpanel, Amplitude, Tableau).
Analytics & Reporting:
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Proficiency in analyzing product usage data to inform design decisions.
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Ability to define and track key performance indicators (KPIs) for design initiatives. CRM & Automation:
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While not directly a CRM role, familiarity with how product design impacts user acquisition and retention within a SaaS context is beneficial.
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Understanding of workflow automation principles as applied to user journeys.
📝 Enhancement Note: While specific tools aren't listed, the role's responsibilities point to a modern product design tech stack. Figma is the de facto standard for collaborative design and prototyping in many tech companies, especially startups. The need for "AI-assisted research" might imply integration with AI tools for research synthesis or generation.
👥 Team Culture & Values
Operations Values:
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Innovation & AI Focus: A strong drive to be at the forefront of the AI revolution, building cutting-edge technology.
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Problem-Solving: A culture that values individuals who can tackle complex challenges and "help define what needs to be done."
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User-Centricity: A commitment to understanding and solving user problems, ensuring the AI platform is accessible and trustworthy.
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Agility & Speed: An emphasis on rapid iteration, shipping MVPs, and adapting quickly to market feedback in a startup environment.
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Collaboration & Teamwork: A belief in the power of working together across product, engineering, and design to achieve shared goals.
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Continuous Improvement: A dedication to learning, sharing feedback, and enhancing design patterns and processes.
Collaboration Style:
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Cross-functional Integration: Designers are expected to work very closely with Product Managers and Engineers, fostering a deeply integrated product development process.
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Open Communication: Encouragement to share feedback openly, contribute to design pattern improvements, and engage in constructive dialogue.
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Experimentation-Driven: A collaborative approach to testing ideas and designs, using data and user feedback to guide decisions.
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Ownership & Initiative: Team members are encouraged to take initiative and drive projects forward, contributing to a proactive and results-oriented environment.
📝 Enhancement Note: The company's culture appears to be a blend of innovation, user focus, and agile execution, typical of successful tech startups. The emphasis on "problem-solvers" and "taking initiative" indicates a desire for proactive individuals who can contribute beyond their defined role.
⚡ Challenges & Growth Opportunities
Challenges:
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Designing for AI Uncertainty: Navigating the inherent complexities of AI, such as hallucinations, latency, and the need to build user trust in a nascent technology.
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Balancing Speed and Quality: Shipping MVPs rapidly while maintaining a high standard of design quality and long-term product vision in a fast-paced startup.
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Navigating Ambiguity: Working in a startup environment where priorities can shift and requirements may not always be clearly defined, requiring strong problem-solving skills.
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System Cohesion: Ensuring a consistent and coherent user experience across a growing platform with evolving features and AI capabilities.
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User Education: Effectively communicating the capabilities and limitations of AI to users to manage expectations and foster adoption.
Learning & Development Opportunities:
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AI UX Specialization: Gain unparalleled experience in designing for cutting-edge AI technologies, a rapidly growing field.
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Product Strategy Involvement: Directly influence product direction through problem discovery and validation, moving beyond pure execution.
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Mentorship and Leadership: Opportunities to mentor junior team members or take on lead roles as the company scales its design function.
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Agile Product Development: Deepen expertise in lean, iterative product development methodologies.
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Industry Exposure: Potential to attend industry conferences and engage with the broader AI and product design communities.
📝 Enhancement Note: The challenges are directly tied to the innovative nature of the company and the role's position within a startup. These challenges also present significant growth opportunities for a motivated designer.
💡 Interview Preparation
Strategy Questions:
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"Describe a time you led problem discovery for a complex feature or product. What was your process, and what were the key outcomes?" (Focus on your approach to identifying unmet needs and validating assumptions.)
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"How do you approach designing user experiences for AI-powered features, particularly when dealing with potential AI hallucinations or latency?" (Prepare to discuss strategies for building trust and managing user expectations.)
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"Walk us through a project where you had to balance competing priorities or constraints (e.g., speed vs. quality, technical limitations). How did you make trade-offs, and what was the result?" (Highlight your decision-making process and ability to compromise effectively.)
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"How do you ensure your designs create a coherent and consistent product ecosystem, especially in a rapidly evolving product?" (Discuss your systems-thinking approach and how you maintain consistency.) Company & Culture Questions:
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"What interests you most about nexos.ai and our mission to build an AI platform for teams?" (Research the company's mission, product, and market.)
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"How do you stay current with advancements in AI and how they impact UX design?" (Show your curiosity and proactive learning habits.)
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"Describe your ideal collaboration environment. How do you work with Product Managers and Engineers to achieve product goals?" (Emphasize your cross-functional collaboration style and communication approach.) Portfolio Presentation Strategy:
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Narrative-Driven: Structure your portfolio presentation as a story for each case study, focusing on the problem, your journey, and the impact.
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Focus on Process & Rationale: Clearly articulate why you made certain design decisions, not just what you designed. Explain your research, experimentation, and validation processes.
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Highlight AI & Complexity: Dedicate specific attention to projects involving AI, complex SaaS, or multi-step workflows, detailing your unique approach to these challenges.
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Quantify Results: Be ready to present metrics and data that demonstrate the success and business impact of your design work.
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Engage & Discuss: Be prepared for interactive Q&A. Treat it as a collaborative discussion rather than a one-way presentation.
📝 Enhancement Note: The interview preparation advice is tailored to the specific requirements of the role, emphasizing problem discovery, AI design, systems thinking, and the importance of a strong portfolio showcasing relevant experience.
📌 Application Steps
To apply for this Product Designer position:
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Submit your application through the provided link on Ashby.
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Portfolio Preparation: Curate your portfolio to prominently feature projects demonstrating complex SaaS product design, multi-step user workflows, and mobile applications. Ensure case studies clearly articulate your end-to-end design process, problem-solving approach, and measurable impact.
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Resume Optimization: Tailor your resume to highlight your startup experience, specific skills in AI-native design, systems thinking, user research, and your ability to drive design initiatives independently. Use keywords from the job description.
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Interview Practice: Prepare to discuss your portfolio projects in detail, focusing on your process, decision-making, and the outcomes. Practice articulating your approach to problem discovery, AI design challenges, and cross-functional collaboration.
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Company Research: Thoroughly research nexos.ai, their mission, product offerings, and the AI landscape. Understand how your skills and experience align with their goals and values.
⚠️ 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.
Application Requirements
Candidates must have proven startup experience and a strong background in designing complex AI-powered systems. You should possess excellent communication skills, a systems-thinking approach, and hands-on experience with user research and data-driven design iteration.