Company Overview
At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations.
Department Overview
At Motorola Solutions, we seek to innovate in our ongoing pursuit of solving for safer. We develop truly essential, professional tools - from emergency call-taking and dispatch systems to video security solutions, first responder applications and tools for investigation. Join our diverse, AI-forward, multidisciplinary design team and find work partners looking to collaborate and blur the boundaries of traditional design.
Role Description
As an AI-Native UX Designer at Motorola Solutions, you will drive two mandates at once: design world-class experiences for mission-critical public safety products and help change how our global UX team designs them. You will collaborate with product managers, developers, data scientists, subject matter experts, and other members of the global UX team to design the next generation of public safety applications, enabling a design-led product development process rooted in human-centered, persona-driven methodologies while integrating AI-assisted techniques into your daily workflow.
Responsibilities
- AI-Forward Prototyping & Execution: Use modern design tools, AI, and rapid prototyping workflows to quickly build testable artifacts, including wireframes, system flows, and interactive or code-based prototypes, that clearly communicate design intent.
- Process Modernization & Tool Evaluation: Run structured, time-boxed experiments with emerging AI tools and methods on real product work; recommend what the global UX team should adopt, standardize, or retire, and help integrate the winners into daily workflows to drive speed and operational consistency.
- Innovate & Validate: Define "North Star" product visions for intelligent systems through collaboration with researchers to validate human-AI interaction patterns and conduct rigorous usability testing for mission-critical scenarios.
What we offer
- Private medical & dental coverage, Multisport
- Life insurance (two annual income)
- Employee Stock Purchase Plan – 15% discount for buying Motorola’s Stock units
- Employee Pension Plan – 3,5 % of the month’s salary gross, which goes to the retirement account
- IP Tax Relief (up to 80%)
- Yearly salary increase (depends on individual performance)
- Yearly bonus (depends on company performance)
- Flexible working hours (usually day starts between 7-10)
- 8 hours working day (30 minutes lunch break included)
- Lots of sports activities such as Moto football league, Wakeboarding, Snowboarding, e-gaming league etc.
- Access to wellness facilities and integration events
- Comfortable work conditions (high-class offices, parking space)
- Volleyball field and grill place next to the office
- Training and broad development opportunities
- Motorola Solutions is supporting CSR activities and encourages employees to participate
Basic Requirements
- Proven track record delivering comprehensive, intuitive, end-to-end solutions for complex systems, demonstrated through a portfolio.
- Demonstrated fluency in integrating modern AI tools (e.g., generative ideation, prompt-assisted design, AI plugins, automated workflows, or AI prototyping) into your process to accelerate discovery, iteration, and execution.
- Ability to articulate the rationale behind design decisions, especially as they pertain to human-in-the-loop interactions, automation boundaries, and data-driven features.
- A challenger's mindset paired with craft discipline: comfort questioning established processes and a desire to bring your peers along in new working methodologies.
- Passion for research-fueled rapid ideation and emerging design paradigms (e.g., adaptive UIs, predictive workflows, and agentic UX).
- A self-starter mindset with a strong drive for cross-functional collaboration.
- Advanced proficiency with Figma and deep knowledge of emerging AI tools that may unseat its current standardization.
Preferred Qualifications
- Experience prototyping with code or AI coding assistants — building functional prototypes rather than static mockups.
- Familiarity with designing for AI systems: model capabilities and limitations, error and uncertainty states, evaluating the quality of AI outputs.
- Experience complex enterprise domains.
- Demonstrable experience introducing new tools or processes into a design organization and guiding teams through change.
