Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Motorola Solutions

Location: Krakow, Poland

Job Type: Full time

Category: Product Design / User Experience

Date Posted: 2026-07-27

Experience Level: 2-5 years

Remote Status: On-site

🚀 Role Summary

• Spearhead end-to-end product design, from initial research to high-fidelity UI, for AI-driven software solutions targeting public safety and enterprise users.

• Integrate Artificial Intelligence (AI) tools and methodologies to accelerate the design workflow, enhance ideation, and optimize the delivery pipeline.

• Contribute to and maintain a global Design System, ensuring consistency and scalability of UI components across diverse product offerings.

• Design intuitive and trustworthy user interfaces for AI-powered features, focusing on transparency and ease of use for complex AI behaviors.

• Champion a user-centric design approach through hands-on user research and usability testing to inform and validate design decisions.

📝 Enhancement Note: This role is specifically focused on the intersection of Product Design, User Experience (UX), and cutting-edge Artificial Intelligence. The emphasis on AI-driven workflows and AI product design indicates a forward-thinking approach to product development within Motorola Solutions, requiring candidates to possess not only traditional design skills but also a strong understanding and practical application of AI in the design process. The "Global Product Organization" context suggests a significant impact on international product strategy and execution.

📈 Primary Responsibilities

• Lead the comprehensive design process for next-generation software solutions, encompassing user research, ideation, wireframing, prototyping, and high-fidelity UI design for in-field users in government, public safety, and enterprise sectors.

• Plan, execute, and synthesize findings from user research and usability testing to deeply understand user needs, pain points, and behaviors, translating these into actionable design strategies.

• Develop pixel-perfect UI designs and actively contribute to the creation, maintenance, and scaling of components within Motorola Solutions' global Design System, ensuring adherence to brand guidelines and usability standards.

• Leverage AI tools (e.g., LLMs for synthesis, AI-assisted wireframing or prototyping) to optimize efficiency and effectiveness throughout the entire research-to-delivery lifecycle.

• Design and deliver human-centered interfaces for AI-based products and features, focusing on making complex AI functionalities transparent, trustworthy, and easily navigable for end-users.

• Facilitate and lead design sprints, brainstorming sessions, and collaborative workshops to foster innovation and contribute to the company's long-term product vision and strategy.

• Design for multi-modal experiences, ensuring seamless user journeys across mobile and web applications.

📝 Enhancement Note: The responsibilities highlight a need for a designer who can operate autonomously from concept to delivery, with a strong emphasis on research-driven design. The integration of AI is not just a tool but a core aspect of the product being designed, requiring designers to think critically about AI transparency, trust, and user interaction with intelligent systems. The mention of "Mission Critical user group" (Police, Fire, EMS) underscores the high-stakes nature of the products and the need for robust, reliable, and intuitive design solutions.

🎓 Skills & Qualifications

Education: Bachelor’s or Master’s degree in a design-related field, such as UI/UX Design, Interaction Design, Human-Computer Interaction (HCI), or a closely related discipline.

Experience: A minimum of 3+ years of professional experience in product design, UX/UI design, or interaction design (or 2+ years with a Master's degree).

Required Skills:

• UX Research Mastery: Demonstrated hands-on experience in planning, executing, and synthesizing qualitative and quantitative user research, including usability testing, user interviews, and persona development, to inform design decisions.

• AI-Powered UX Design Workflow: Proven experience actively utilizing AI tools (e.g., Large Language Models for research synthesis, AI-driven wireframing/prototyping tools, AI-assisted ideation) to streamline and enhance the design process from research to final delivery.

• High-Fidelity UI & Design Systems: Advanced visual design and UI design skills, with practical experience in building, scaling, and maintaining component libraries and design systems, ideally within tools like Figma.

• Designing AI Experiences: A demonstrable track record of designing and successfully launching actual products or features powered by AI, such as predictive UI, intelligent recommendation engines, or natural language processing (NLP) driven search functionalities.

• Cross-functional Collaboration & Storytelling: Exceptional ability to articulate complex design concepts, research findings, and strategic recommendations clearly and persuasively to diverse cross-functional teams, including developers, product managers, and stakeholders.

• Multi-modal Design Proficiency: Experience designing intuitive and effective user interfaces for both mobile and web applications, ensuring a cohesive experience across different platforms.

• Excellent English Proficiency: Strong written and spoken English communication skills.

Preferred Skills:

• Agentic AI Design Experience: Experience designing workflows, trust-building user interfaces, and feedback mechanisms for autonomous AI agents or complex multi-agent systems.

📝 Enhancement Note: The "AI-Powered UX Design Workflow" and "Delivering AI Experiences" requirements are critical differentiators. Candidates should be prepared to showcase specific examples of how they've used AI tools in their design process and how they've designed for AI-driven product functionalities. The portfolio requirement is paramount for assessing these skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive digital portfolio link is mandatory for consideration, showcasing your end-to-end design process from problem definition to final solution.

• Demonstrate your user research capabilities, including research plans, methodologies used, key insights derived, and how these insights directly influenced design decisions.

• Present detailed examples of high-fidelity UI designs, wireframes, and interactive prototypes, highlighting your visual design skills and attention to detail.

• Showcase your experience with design systems, including contributions to component libraries, style guides, and how you ensure consistency across applications.

• Include specific case studies or examples of AI-related design work, illustrating how you designed for AI features, managed user trust, and integrated AI into user workflows. Process Documentation:

• Provide evidence of your ability to document and communicate design processes, including user flows, information architecture, and interaction specifications.

• Illustrate how you leverage AI to document or synthesize research findings and design rationale, streamlining internal communication.

• Show how your design process incorporates iterative feedback loops, stakeholder reviews, and developer handoff procedures.

📝 Enhancement Note: The portfolio is not just a collection of work but a demonstration of the candidate's entire design methodology, with a specific emphasis on their ability to integrate AI tools and design for AI-powered products. Candidates should structure their portfolio to clearly articulate the "why" behind their design choices, especially those related to AI.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for experienced Product Designers in Krakow, Poland, with a specialization in AI-driven UX and a demonstrated portfolio, the estimated salary range is likely between PLN 120,000 - PLN 180,000 gross annually. This range accounts for the required 3+ years of experience, specialized AI skills, and the strategic importance of the role within a global organization.

Benefits:

• Competitive Salary Package: A strong compensation structure reflecting expertise and market value.

• Flexible Working Hours: Ability to manage work schedules to promote work-life balance.

• Dedicated Coaching and Development: Opportunities for continuous learning, skill enhancement, and career progression.

• Comfortable Work Environment: Access to high-class office facilities designed for productivity and collaboration.

• Convenient Amenities: Includes a dedicated parking space for ease of commute.

• Wellness and Social Engagement: Access to wellness facilities and participation in integration events to foster team cohesion and employee well-being.

• Comprehensive Training: Opportunities for professional development through training programs, expanding technical and soft skills.

Working Hours: The standard working hours are approximately 40 hours per week, with the flexibility offered by the "Flexible working hours" benefit.

📝 Enhancement Note: The salary estimate is based on publicly available data for similar roles in Krakow and accounts for the specific technical requirements (AI integration, design systems) and the employer's profile (Motorola Solutions, a large, established tech company). Benefits are tailored to what is typically offered in Poland for experienced professionals in the tech sector, with specific mentions from the job description highlighted.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Software Development, Communications, Security, and Public Safety Solutions. Motorola Solutions is a global leader in providing mission-critical communication and safety solutions, leveraging advanced technologies like AI, IoT, and cloud computing to enhance public safety and enterprise operations.

Company Size: Motorola Solutions is a large, publicly traded company with tens of thousands of employees globally. This scale offers significant resources, established processes, and diverse career opportunities.

Founded: Motorola Solutions has a long and rich history, with roots tracing back to the original Motorola company founded in 1928. The current entity, Motorola Solutions, was established in 2011, focusing on mission-critical communications and public safety.

Team Structure:

• The role sits within the Global Product Organization (GPO), specifically on an award-winning design team in Poland. This suggests a centralized design function that supports global product development.

• The team likely comprises a mix of UX researchers, UI designers, interaction designers, and potentially UX writers, working collaboratively on various product lines.

• Designers will report to a Design Lead or Manager within the GPO, with significant cross-functional collaboration expected with Product Management, Engineering, and AI/ML teams. Methodology:

• The team likely employs agile methodologies, with design integrated into sprint cycles.

• A strong emphasis is placed on user-centered design principles, data-driven decision-making, and leveraging AI to enhance both the design process and the end-user experience.

• Design system governance and contribution are key operational processes, ensuring consistency and efficiency.

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

📝 Enhancement Note: The company's focus on "mission-critical" and "public safety" implies a culture that values reliability, precision, and impact. The integration of AI and a "people-first" approach suggests a blend of innovation with a strong sense of purpose. For a designer, this means understanding the high-stakes environment in which their products are used.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an experienced Product Designer, likely mid-level to senior, depending on the exact years of experience and depth of AI design expertise. It involves end-to-end ownership of design projects and significant contribution to the design system and product vision.

Reporting Structure: The Product Designer will report to a Design Lead or Manager within the Global Product Organization. They will work closely with Product Managers, Engineering teams, and AI/ML specialists.

Operations Impact: The Product Designer's work directly impacts the usability, effectiveness, and adoption of mission-critical software solutions used by public safety officials and enterprise clients. By designing intuitive AI-driven experiences, they contribute to improved decision-making, enhanced safety, and increased operational efficiency for users in high-pressure environments. Their contributions are crucial for Motorola Solutions' innovation pipeline and market competitiveness.

Growth Opportunities:

• Specialization in AI Design: Deepen expertise in designing for AI, agentic systems, and human-AI collaboration, becoming a go-to expert in this rapidly evolving field.

• Leadership Development: Potential to move into Senior Product Designer roles, Lead Designer positions, or even manage a design team, mentoring junior designers and shaping design strategy.

• Cross-functional Mobility: Opportunities to collaborate with and learn from other departments, such as AI/ML research, product management, or even business strategy, potentially leading to roles in product strategy or innovation management.

• Design System Evolution: Take on more responsibility in governing and evolving the global design system, influencing design standards across the organization.

📝 Enhancement Note: The emphasis on AI in this role provides a clear path for specialization. Growth will likely come from taking on more complex projects, leading design initiatives, and mentoring others, especially in the area of AI-product design. The company’s global presence offers opportunities for exposure to diverse markets and user needs.

🌐 Work Environment

Office Type: The role is based in Krakow, Poland, and will involve working within high-class, modern office facilities. These offices are designed to support both focused individual work and collaborative team activities.

Office Location(s): Krakow, Poland. Specific details about office accessibility, public transport links, or proximity to amenities would be best confirmed by the company during the interview process.

Workspace Context:

• The workspace is designed to foster a "Strong collaborative culture," suggesting an environment with open-plan areas, meeting rooms, and informal collaboration zones to facilitate interaction with colleagues.

• Access to necessary tools and technology, including high-performance workstations, design software (like Figma), and potentially specialized AI development tools, will be provided.

• Opportunities for direct interaction with other designers, product managers, engineers, and AI specialists are inherent to the role and the collaborative environment.

Work Schedule: The standard working hours are approximately 40 hours per week. However, the "Flexible working hours" benefit allows for a degree of autonomy in structuring the workday, accommodating personal needs while ensuring project deadlines and team collaboration are met effectively.

📝 Enhancement Note: The "high-class offices" and "parking space" indicate a focus on employee comfort and convenience. The "strong collaborative culture" suggests an environment where open communication and teamwork are valued, which is crucial for a design role deeply integrated with engineering and product.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your application, focusing on your resume and, critically, your digital portfolio. Be prepared to articulate your design philosophy and specific experience with AI.

• Portfolio Presentation: You will likely be asked to present your portfolio to the hiring team, walking them through 1-2 key case studies. Focus on demonstrating your end-to-end process, your problem-solving approach, your role in the project, and the impact of your design decisions, especially concerning AI and design systems.

• Design Challenge/Case Study: A practical exercise, potentially a take-home challenge or an in-interview whiteboarding session, to assess your design thinking, problem-solving skills, and ability to apply design principles to a specific problem, possibly involving AI concepts or design system thinking.

• Behavioral and Technical Interviews: Discussions with hiring managers and team members to assess your collaboration skills, communication style, understanding of UX principles, AI design considerations, and cultural fit within Motorola Solutions.

Portfolio Review Tips:

• Highlight AI Integration: Clearly showcase how you've used AI in your design process or how you've designed AI-powered features. Detail the challenges and how you addressed them.

• Demonstrate End-to-End Process: For each case study, walk through the problem, your research methods, ideation, design iterations, testing, final solution, and outcomes. Quantify impact where possible.

• Showcase Design System Work: Include examples of components you've created or contributed to, and explain how you ensured consistency and scalability.

• Focus on Storytelling: Frame your projects as narratives. Explain the context, the challenge, your crucial role, the solutions you devised, and the results achieved.

• Tailor to Motorola Solutions: If possible, subtly align your case studies with the types of problems Motorola Solutions solves (e.g., mission-critical applications, complex user environments).

Challenge Preparation:

• Understand the User: For any hypothetical challenge, prioritize understanding the user and their context, especially if it relates to public safety or enterprise operations.

• Embrace AI: Be ready to discuss how AI could be a solution or a consideration, even if not explicitly stated in the prompt.

• Design System Thinking: Consider how your proposed solution would fit within a larger design system.

• Communication is Key: Clearly articulate your thought process, assumptions, and proposed solutions.

📝 Enhancement Note: The emphasis on AI and a strong portfolio means candidates must be prepared to visually and verbally demonstrate their expertise in these areas. The interview process will likely aim to validate both design craft and the ability to innovate with AI.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: This is explicitly mentioned and will be the primary tool for UI design, prototyping, and design system management. Proficiency is mandatory.

• Prototyping Tools: Beyond Figma's built-in capabilities, experience with other advanced prototyping tools (e.g., Adobe XD, InVision Studio) might be beneficial for complex interactions.

• AI Tools: Candidates are expected to have experience using AI tools for workflow optimization. This could include LLMs for research synthesis (e.g., ChatGPT, Claude), AI-assisted wireframing or ideation tools, or specialized AI design platforms.

• User Research Tools: Experience with platforms for conducting remote usability testing, surveys, and user interviews (e.g., UserTesting.com, Lookback, SurveyMonkey).

Analytics & Reporting:

• Familiarity with analytics platforms (e.g., Google Analytics, Adobe Analytics) to understand user behavior post-launch and inform future design iterations.

• Experience interpreting data visualizations and dashboards to understand product performance and user engagement metrics. CRM & Automation:

• While not direct design tools, an understanding of how CRM systems (e.g., Salesforce) and automation platforms impact user workflows and data collection can be beneficial for context.

📝 Enhancement Note: Figma is the cornerstone of the design stack. The integration of AI tools into the design workflow is a unique requirement that candidates must be able to demonstrate. Proficiency in these areas will be heavily assessed through the portfolio and interview process.

👥 Team Culture & Values

Operations Values:

• Safety & Reliability: Given Motorola Solutions' mission, a deep commitment to designing safe, reliable, and effective solutions is paramount. This translates to meticulous attention to detail and a thorough testing process.

• Innovation & Future-Focus: A drive to push technological boundaries, particularly in AI, and to envision and build the future of public safety and enterprise technology.

• User-Centricity: A strong emphasis on understanding and serving the needs of users, especially those in demanding, mission-critical roles, ensuring designs are intuitive and empowering.

• Collaboration & Teamwork: A belief that the best solutions are built through close collaboration across diverse teams (design, product, engineering, AI/ML), fostering an environment of shared ownership and mutual support.

• Integrity & Trust: Upholding high ethical standards in design, particularly when dealing with AI, ensuring transparency, fairness, and user trust.

Collaboration Style:

• Cross-functional Integration: Designers are expected to work seamlessly with product managers to define product strategy and requirements, and with engineers to ensure feasibility and high-quality implementation. Close collaboration with AI/ML teams is essential for designing AI-powered features effectively.

• Iterative Feedback: A culture that encourages frequent feedback loops, design critiques, and open dialogue to refine designs and solve problems collectively.

• Knowledge Sharing: Encouraging team members to share best practices, learnings from research, and insights into AI design through presentations, workshops, and documentation.

📝 Enhancement Note: The company's core values directly translate into expectations for designers. A designer who can demonstrate alignment with these values, particularly concerning the mission-critical nature of the products and the innovative use of AI, will be highly regarded.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for High-Stakes Environments: Creating user experiences for public safety professionals (police, fire, EMS) where design failure can have significant consequences requires meticulous attention to detail, robustness, and extreme usability.

• Integrating Complex AI: Effectively designing human-AI interactions that are transparent, trustworthy, and genuinely enhance user capabilities, rather than overwhelming them, is a significant challenge. This includes designing for AI explainability and user control.

• Balancing Innovation with Usability: Pushing the boundaries with AI and new technologies while ensuring the resulting products are intuitive and easy for diverse users to adopt and operate.

• Global Design Consistency: Maintaining and evolving a design system that supports a wide range of global products and user needs, ensuring a consistent yet adaptable brand experience.

Learning & Development Opportunities:

• AI Design Specialization: Extensive opportunities to deepen expertise in human-AI interaction design, prompt engineering for design, and designing for emergent AI capabilities.

• Industry Conferences & Certifications: Support for attending relevant design and AI conferences, and potentially pursuing professional certifications in UX, design thinking, or AI ethics.

• Mentorship & Leadership: Access to mentorship from experienced design leaders within Motorola Solutions and opportunities to develop leadership skills by mentoring junior designers or leading design initiatives.

• Exposure to Cutting-Edge Technology: Working at the forefront of public safety and enterprise technology, gaining hands-on experience with next-generation communication systems and AI applications.

📝 Enhancement Note: The challenges presented are significant but offer substantial opportunities for professional growth. Candidates should view these challenges as opportunities to develop specialized skills in a highly impactful domain.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI tools to significantly improve your design process. What were the benefits and challenges?" (Focus on specific tools, quantifiable outcomes, and lessons learned.)

• "How would you approach designing a feature that uses AI to predict potential safety risks for a police officer in the field? What are the critical considerations for user trust and transparency?" (Demonstrate your understanding of AI ethics, user needs in high-stakes scenarios, and your design process for complex AI.)

• "Walk us through your process for contributing to or maintaining a global design system. How do you ensure consistency and scalability while also allowing for product-specific innovation?" (Highlight your understanding of design system principles, component-based design, and collaboration.) Company & Culture Questions:

• "What do you know about Motorola Solutions and our mission? How do you see your design skills contributing to our goal of building a safer world?" (Research the company's mission, products, and recent news. Connect your passion for design to their purpose.)

• "How do you collaborate with engineers and product managers, especially when dealing with complex technical constraints or AI capabilities?" (Provide examples of successful cross-functional collaboration, emphasizing communication and problem-solving.)

• "Describe a project where you had to balance user needs with business objectives or technical limitations. How did you reach a decision?" (Showcase your ability to make trade-offs and advocate for users effectively.) Portfolio Presentation Strategy:

• Structure for Impact: Prepare 1-2 case studies that best highlight your AI design experience, end-to-end process, and design system contributions. Start with the problem, your role, your approach, the solution, and the results.

• Quantify Results: Wherever possible, use metrics to demonstrate the impact of your designs (e.g., improved task completion time, increased user satisfaction scores, reduced error rates).

• Explain Your "Why": For every decision, be ready to explain the rationale behind it, especially how user research and AI considerations informed your choices.

• Be Ready for Deep Dives: Anticipate detailed questions about your process, specific design choices, and how you handled challenges.

📝 Enhancement Note: Preparation should focus on demonstrating a strong understanding of AI's role in design, a robust end-to-end design process, and the ability to communicate complex ideas clearly. The portfolio is the primary tool for this demonstration.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the official Motorola Solutions careers portal, ensuring all required fields are completed accurately.

• Curate Your Portfolio: Select 1-2 of your strongest projects that best showcase your end-to-end design process, your experience with AI-driven design, and your contributions to design systems. Ensure your portfolio is easily navigable and visually appealing.

• Optimize Your Resume: Tailor your resume to highlight keywords from the job description, such as "UX Research," "UI Design," "AI-Driven UX," "Design Systems," "Figma," and "User Testing." Quantify achievements wherever possible.

• Practice Your Presentation: Rehearse walking through your portfolio case studies. Focus on clear storytelling, articulating your thought process, and being ready to answer in-depth questions about your AI design experience and methodology.

• Research Motorola Solutions: Understand the company's mission, its products (especially in public safety and enterprise), its commitment to AI, and its design philosophy. This will help you tailor your responses 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.