AI-Native UX Designer

📍 Job Overview

Job Title: AI-Native UX Designer

Company: Motorola Solutions

Location: Krakow, Poland

Job Type: Full time

Category: UX Design / Product Design / AI Design

Date Posted: 2026-08-24

Experience Level: Experienced (5-10 years estimated)

Remote Status: On-site

🚀 Role Summary

• Drive the design of world-class, AI-integrated user experiences for mission-critical public safety products.

• Modernize and innovate the global UX team's design processes by integrating AI-assisted techniques and rapid prototyping workflows.

• Collaborate closely with product managers, developers, data scientists, and subject matter experts to define the next generation of public safety applications.

• Champion a design-led, human-centered, and persona-driven product development process, leveraging AI tools to accelerate discovery and execution.

📝 Enhancement Note: The job title "AI-Native UX Designer" strongly indicates a focus on roles that not only design for AI but also with AI as a core tool. The description emphasizes integrating AI into the daily workflow, suggesting this is not a standard UX role but one at the forefront of AI adoption in design. The company's focus on "mission-critical public safety products" adds a layer of complexity and responsibility to the design work.

📈 Primary Responsibilities

• Develop AI-Forward Prototyping & Execution: Utilize modern design tools, AI capabilities, and rapid prototyping workflows to create testable artifacts, including wireframes, system flows, and interactive or code-based prototypes, that effectively communicate design intent.

• Lead Process Modernization & Tool Evaluation: Conduct structured, time-boxed experiments with emerging AI tools and methods on actual product work. Recommend which AI tools and methods the global UX team should adopt, standardize, or retire, and facilitate the integration of successful tools into daily workflows to enhance speed and operational consistency.

• Innovate & Validate Product Visions: Define "North Star" product visions for intelligent systems through close collaboration with researchers to validate human-AI interaction patterns and conduct rigorous usability testing specifically for mission-critical scenarios.

• Design for Human-AI Interaction: Apply AI design methods with clear intent, understanding when to automate, when to maintain human-in-the-loop control, and how to design for trust in systems that operate probabilistically.

• Champion Design-Led Development: Foster a design-led product development process that is deeply rooted in human-centered and persona-driven methodologies, ensuring user needs are paramount alongside technological advancements.

📝 Enhancement Note: The responsibilities highlight a dual mandate: core UX design for complex systems and a proactive role in evaluating and integrating new AI technologies and methodologies into the design team's practices. This suggests a senior or lead-level expectation for process improvement and innovation.

🎓 Skills & Qualifications

Education: While specific educational requirements are not detailed, a Bachelor's or Master's degree in Human-Computer Interaction, Design, Computer Science, or a related field is typically expected for experienced UX designers. Equivalent practical experience will also be considered.

Experience: A proven track record of delivering comprehensive, intuitive, end-to-end solutions for complex systems is required. This role is for an experienced professional, likely with 5-10 years of dedicated UX design experience, particularly in enterprise or complex software environments.

Required Skills:

• Demonstrated fluency in integrating modern AI tools (e.g., generative ideation, prompt-assisted design, AI plugins, automated workflows, AI prototyping) into your design process to accelerate discovery, iteration, and execution.

• Advanced proficiency with Figma and a deep understanding of emerging AI tools that may influence or unseat current design standardization.

• Ability to articulate the rationale behind design decisions, with a specific focus on human-in-the-loop interactions, automation boundaries, and data-driven features.

• A challenger's mindset and craft discipline: comfort questioning established processes and a desire to influence peers toward new working methodologies.

• Passion for research-fueled rapid ideation and emerging design paradigms such as adaptive UIs, predictive workflows, and agentic UX.

• Strong self-starter mentality with a drive for cross-functional collaboration with product managers, developers, and data scientists.

• Experience delivering comprehensive, intuitive, end-to-end solutions for complex systems, as evidenced by a strong portfolio. Preferred Skills:

• Experience prototyping with code or AI coding assistants, focusing on building functional prototypes rather than solely static mockups.

• Familiarity with designing for AI systems, including understanding model capabilities and limitations, error and uncertainty states, and evaluating the quality of AI outputs.

• Experience in complex enterprise domains, understanding the nuances of B2B or mission-critical software.

• Demonstrable experience introducing new tools or processes into a design organization and successfully guiding teams through change.

📝 Enhancement Note: The emphasis on "AI-Native" and "demonstrated fluency in integrating modern AI tools" is paramount. Candidates must be prepared to showcase how they use AI in their workflow, not just the final output. The preference for coding or AI coding assistants for prototyping suggests a high technical bar.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a proven track record of delivering comprehensive, intuitive, end-to-end solutions for complex systems. This should include examples of user flows, wireframes, and interactive prototypes.

• Showcase your integration of modern AI tools into your design process. Be prepared to walk through your workflow and toolset, detailing how AI accelerated discovery, iteration, or execution.

• Include at least one working artifact built with AI assistance (e.g., a prototype, tool, website, or experiment). A link to this artifact should be included alongside or within your portfolio.

• Exhibit your ability to articulate the rationale behind design decisions, particularly concerning human-in-the-loop interactions, automation boundaries, and data-driven features. Process Documentation:

• Include examples of how you've documented system flows and user journeys, highlighting how AI tools might assist in this process.

• Provide insights into your rapid ideation and validation processes, showing how you quickly test and iterate on designs, especially for emerging paradigms like adaptive UIs or predictive workflows.

• Detail your experience with usability testing for mission-critical scenarios, demonstrating your ability to gather actionable insights and refine designs for high-stakes environments.

📝 Enhancement Note: The portfolio requirements are highly specific, emphasizing the practical application of AI in the design process and the delivery of functional, AI-assisted artifacts. This moves beyond traditional portfolio expectations to a more dynamic, tool-centric demonstration of skills.

💵 Compensation & Benefits

Salary Range: For an experienced AI-Native UX Designer in Krakow, Poland, with an estimated 5-10 years of experience and specialized AI skills, the salary range is estimated to be between PLN 180,000 - PLN 280,000 gross annually. This range accounts for the high demand for AI-skilled professionals, the complexity of designing for mission-critical systems, and regional market rates for senior tech roles in Poland.

Benefits:

• Private medical and dental coverage for comprehensive healthcare.

• Multisport card for access to various sports and wellness facilities.

• Life insurance equivalent to two annual incomes for financial security.

• Employee Stock Purchase Plan offering a 15% discount on Motorola's stock units.

• Employee Pension Plan with 3.5% of gross monthly salary contributed to a retirement account.

• IP Tax Relief (up to 80%), potentially reducing taxable income.

• Yearly salary increase based on individual performance, rewarding consistent contribution.

• Yearly bonus contingent on company performance, aligning individual and organizational success.

• Flexible working hours, with daily start times typically between 7-10 AM, allowing for better work-life integration.

• Access to wellness facilities and regular integration events to foster employee well-being and team cohesion.

• Comfortable work conditions, including high-class offices and parking space.

• On-site amenities such as a volleyball field and grill place.

• Extensive training and broad development opportunities to support continuous learning and career advancement.

• Support for CSR (Corporate Social Responsibility) activities, encouraging employee participation in community initiatives.

• Numerous sports activities including Moto football league, Wakeboarding, Snowboarding, and e-gaming league.

Working Hours: Standard 8-hour working day, inclusive of a 30-minute lunch break. Flexible start times are available, typically between 7-10 AM, supporting a balanced work schedule.

📝 Enhancement Note: The provided benefits package is extensive and competitive, reflecting Motorola Solutions' commitment to employee well-being and long-term engagement. The IP Tax Relief is a significant perk for individuals involved in intellectual property creation in Poland. The salary estimate is based on industry benchmarks for specialized tech roles in Poland and the specific demands of AI design.

🎯 Team & Company Context

🏢 Company Culture

Industry: Motorola Solutions operates in the Technology sector, specifically focusing on public safety and enterprise security solutions. This includes critical communication systems, video security, analytics, and command center software. The company plays a vital role in enabling safer communities and environments globally.

Company Size: Motorola Solutions is a large, established global corporation. This size implies access to significant resources, a structured environment, and opportunities for broad impact, but also potentially more formal processes. For operations professionals, it means working within a well-defined framework and potentially collaborating with large, diverse teams.

Founded: Motorola Solutions has a rich history dating back to the founding of Motorola, Inc. in 1928. The current Motorola Solutions entity emerged from the strategic split of Motorola, Inc. in 2011, focusing on mission-critical communications and public safety. This long-standing heritage suggests stability, deep industry expertise, and a commitment to long-term innovation.

Team Structure:

• The UX team is described as "global," "AI-forward," and "multidisciplinary," indicating a diverse group of designers and potentially researchers working across different regions.

• This role involves collaboration within a "close-knit community" at Motorola Solutions, suggesting a culture that values teamwork despite its global scale.

• The UX team aims to "blur the boundaries of traditional design," implying an experimental and innovative approach to design methodologies and roles. Methodology:

• The team emphasizes a "design-led product development process rooted in human-centered, persona-driven methodologies."

• There is a strong focus on integrating "AI-assisted techniques into your daily workflow" and "human-AI interaction patterns."

• The approach involves "rapid ideation," "prototyping early," and "leveraging AI tools to quickly validate ideas," indicating an agile and iterative design practice.

Company Website: https://www.motorolasolutions.com/

📝 Enhancement Note: The company's focus on public safety is a significant cultural driver, imbuing the work with a sense of purpose and responsibility. The "AI-forward" and "multidisciplinary" nature of the UX team suggests an environment that encourages experimentation and collaboration, appealing to professionals looking to push boundaries.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an "Experienced" professional, likely equivalent to a Senior UX Designer or a specialized AI UX Designer. It requires a proven track record and the ability to influence processes and tools within a global team. The position involves not just execution but also evaluation and standardization of new methodologies, indicating a leadership potential within the design function.

Reporting Structure: While not explicitly stated, an experienced designer in a global team typically reports to a UX Lead, Design Manager, or Director of UX/Product Design. They would work closely with Product Managers, Engineering Leads, and Data Scientists, fostering strong cross-functional relationships.

Operations Impact: The AI-Native UX Designer's impact is significant:

• Product Enhancement: Directly influences the usability, effectiveness, and adoption of mission-critical public safety products by ensuring intuitive human-AI interactions.

• Process Innovation: Drives efficiency and quality improvements across the entire global UX team by identifying, testing, and integrating cutting-edge AI design tools and methodologies.

• Strategic Vision: Contributes to defining the future product vision for intelligent systems, ensuring Motorola Solutions remains at the forefront of AI-driven public safety technology.

Growth Opportunities:

• Specialization: Deepen expertise in AI design, human-AI interaction, and designing for complex, mission-critical systems.

• Leadership: Transition into roles like Lead UX Designer, UX Manager, or Design Strategist, guiding teams and shaping design direction.

• Process Ownership: Become a key driver for adopting and standardizing AI tools and methodologies across Motorola Solutions' global design organization.

• Cross-functional Expertise: Gain exposure to data science, product management, and engineering in the public safety domain, broadening skill sets.

📝 Enhancement Note: The role offers a unique opportunity to be at the cutting edge of AI in UX design within a stable, impactful industry. The growth path is geared towards both technical specialization and leadership in process innovation.

🌐 Work Environment

Office Type: The role is based on-site in Krakow, Poland, with comfortable, high-class offices provided. This suggests a professional, well-equipped workspace designed for productivity and collaboration.

Office Location(s): The primary location is Krakow, Poland. Motorola Solutions also has a global presence, but this specific role is tied to the Krakow office. Information regarding specific office accessibility or amenities (like parking) is provided.

Workspace Context:

• Collaborative Environment: The emphasis on a "close-knit community" and cross-functional collaboration suggests an environment where teamwork and idea-sharing are encouraged.

• Tooling: Access to "high-class offices" implies modern workspace amenities. The role specifically demands advanced proficiency in Figma and familiarity with emerging AI tools, indicating that the necessary software and potentially hardware support will be available.

• Team Interaction: The role requires close interaction with product managers, developers, data scientists, and other UX team members, both locally and globally, fostering a dynamic and communicative work atmosphere.

Work Schedule: The work schedule is structured around an 8-hour day with flexible start times (7-10 AM), accommodating personal needs while ensuring operational coverage. This flexibility is beneficial for managing complex design tasks and collaborating across different time zones if necessary.

📝 Enhancement Note: The on-site requirement in Krakow suggests a preference for in-person collaboration and team building, which can be advantageous for complex projects. The provision of amenities like parking and a supportive office environment contributes to a positive work experience.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with the core requirements, particularly AI integration and complex system design experience.

• Portfolio Presentation & Workflow Deep Dive: Expect to present your portfolio, focusing not just on final designs but on your process, especially how AI tools were integrated. Be prepared to demonstrate your workflow, toolset, and rationale behind AI-assisted decisions.

• Technical & Design Challenge: You may be given a design challenge or asked to discuss hypothetical scenarios involving human-AI interaction in public safety contexts. This could involve rapid prototyping or problem-solving.

• Cross-functional Interviews: Discussions with Product Managers, Developers, and Data Scientists to assess collaboration skills, technical understanding, and ability to work within a multidisciplinary team.

• Hiring Manager/Team Lead Interview: A final discussion to assess cultural fit, career aspirations, and overall suitability for the role and team.

Portfolio Review Tips:

• Show, Don't Just Tell: For your AI-assisted artifact, ensure it's functional and clearly demonstrates the value AI brought to the project. Explain why you chose to use AI for this specific task.

• Process is Key: Dedicate significant time to explaining your workflow. Detail the AI tools used, how they were prompted or integrated, and how they influenced your design decisions and speed.

• Human-AI Interaction Focus: For relevant projects, clearly articulate your design considerations for automation boundaries, user trust, and handling AI uncertainty or errors.

• Impact & Rationale: For each case study, clearly state the problem, your solution, the AI tools used, and the measurable impact or learnings. Be ready to defend your design choices.

Challenge Preparation:

• AI Tool Familiarity: Brush up on common AI design tools and prompt engineering techniques relevant to UX.

• Public Safety Context: Familiarize yourself with the general challenges and needs of public safety professionals.

• Process Optimization: Be ready to discuss how you would optimize a design process using AI, or how you would evaluate a new AI tool for adoption.

📝 Enhancement Note: The interview process heavily emphasizes practical application of AI tools and a deep understanding of design process. Candidates must be prepared to demonstrate their AI proficiency through their portfolio and during discussions.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Advanced proficiency is a core requirement.

This will be the primary tool for wireframing, prototyping, and design system management.

• AI Design Tools: Fluency with a range of emerging AI tools is critical. This could include:

  • Generative ideation tools (e.g., for concept generation, content creation).
  • Prompt-assisted design tools (e.g., for generating UI elements, code snippets, or design variations).
  • AI plugins for existing design software.
  • Automated workflow tools that leverage AI.
  • AI prototyping tools that enable faster iteration and testing.

• Prototyping Tools: Beyond Figma's native capabilities, experience with tools that support interactive or code-based prototypes is preferred.

Analytics & Reporting:

• Familiarity with user research and analytics platforms to validate AI-assisted design decisions and measure their impact. This may include tools for usability testing analysis and A/B testing. CRM & Automation:

• While not a primary focus for UX, understanding how designs integrate into broader enterprise systems and workflows, including CRM and automation platforms, is beneficial for context.

📝 Enhancement Note: The technology stack is heavily weighted towards AI-driven design tools, with Figma as the anchor. Candidates should be prepared to discuss their experience with a broad spectrum of AI applications in design and demonstrate how they evaluate and adopt new tools.

👥 Team Culture & Values

Operations Values:

• Safety First: A core value driving all product development, emphasizing the critical nature of public safety solutions and the need for robust, reliable, and trustworthy designs.

• Innovation & AI Integration: A forward-thinking approach that embraces emerging technologies like AI to enhance design processes and product capabilities.

• Collaboration: A "close-knit community" and "people-first" culture that values teamwork, open communication, and mutual support across global teams.

• Human-Centered Design: A foundational principle ensuring that user needs, particularly those of first responders, are at the forefront of all design efforts.

• Efficiency & Impact: A drive to deliver high-quality, impactful solutions efficiently, leveraging new methods and tools to achieve organizational goals.

Collaboration Style:

• Cross-functional Integration: Strong emphasis on working seamlessly with product managers, developers, data scientists, and researchers to create holistic product solutions.

• Open Communication: Encouraging diverse perspectives and open dialogue, particularly in a global team setting.

• Process Improvement Culture: A willingness to experiment with new tools and methodologies, and to share learnings and best practices across the team.

• Challenger Mindset: Encouraging constructive debate and a willingness to question existing paradigms to drive innovation.

📝 Enhancement Note: The culture values both the serious responsibility of public safety work and a progressive, experimental approach to design, particularly with AI. This blend of purpose and innovation is key to understanding the team's dynamic.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Trust in AI: Ensuring users (first responders) trust and effectively use AI-powered features in high-stakes situations, requiring careful design of transparency, control, and error handling.

• Pace of AI Evolution: Keeping pace with the rapid advancements in AI technology and continuously evaluating and integrating new tools and methodologies into the design workflow.

• Process Adoption & Change Management: Successfully introducing and standardizing new AI tools and workflows across a global UX team, overcoming potential resistance to change.

• Balancing Innovation with Mission-Critical Needs: Experimenting with cutting-edge AI while ensuring the reliability, safety, and usability of products that first responders depend on daily.

Learning & Development Opportunities:

• AI Design Specialization: Become a leading expert in AI-native UX design, human-AI interaction, and prompt engineering for design applications.

• Industry Leadership: Contribute to shaping the future of UX design in the public safety sector and influencing AI adoption within a major technology company.

• Mentorship: Potential to mentor junior designers on AI best practices and lead workshops on new tools and methodologies.

• Continuous Learning: Access to training, conferences, and internal knowledge-sharing sessions to stay at the forefront of UX and AI advancements.

📝 Enhancement Note: The challenges are directly tied to the innovative nature of the role, emphasizing the need for adaptability, strategic thinking, and strong change management skills. The growth opportunities are substantial for those looking to specialize in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you integrated an AI tool into your design workflow. What was the tool, how did you use it, and what was the outcome? Be specific about the prompt or integration method."

• "How do you approach designing for systems that behave probabilistically, especially in a mission-critical context like public safety? What are your key considerations for user trust and control?"

• "Imagine our UX team is considering adopting a new generative AI tool for ideation. What criteria would you use to evaluate it, and how would you propose testing and integrating it into our current Figma-based workflow?" Company & Culture Questions:

• "What excites you about Motorola Solutions' mission to 'help keep people safer everywhere,' and how do you see AI design contributing to that mission?"

• "How would you encourage a less tech-savvy colleague to experiment with AI design tools?"

• "Describe your experience working in a global, multidisciplinary team. How do you ensure effective collaboration and communication across different regions and functions?" Portfolio Presentation Strategy:

• AI Workflow Showcase: Dedicate a significant portion of your presentation to demonstrating your AI-assisted artifact and walking through the entire process – from concept to execution, highlighting AI's role at each step.

• Data-Driven Rationale: For each project, clearly articulate the "why" behind your design decisions, especially those influenced by AI insights or capabilities. Quantify impact where possible.

• Interactive Demonstration: Be prepared to demo live prototypes or tools if feasible, especially the AI-assisted artifact.

• Future Vision: Discuss how you envision AI evolving UX design further and how you would stay ahead of these trends at Motorola Solutions.

📝 Enhancement Note: Interview preparation should focus on demonstrating practical, hands-on experience with AI in design, not just theoretical knowledge. Be ready to showcase your process and defend your design choices, especially concerning AI integration and its impact.

📌 Application Steps

To apply for this AI-Native UX Designer position:

• Submit your application through the provided Workday link, ensuring all required fields are completed.

• Customize Your Resume: Highlight keywords and experiences related to AI-assisted design, Figma proficiency, complex system design, human-AI interaction, and rapid prototyping. Quantify achievements where possible.

• Curate Your Portfolio: Ensure your portfolio prominently features at least one AI-assisted artifact. Prepare a narrative that clearly explains your workflow, the AI tools used, the rationale behind their adoption, and the resulting impact.

• Prepare for Process Demonstration: Be ready to walk through your design process, particularly how you integrate AI tools, during interviews. Practice explaining complex workflows concisely.

• Research Motorola Solutions: Understand the company's mission in public safety, its commitment to AI, and its products. This will help you tailor your answers and demonstrate genuine interest.

⚠️ 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.