AI-Native UX Designer
Summary
Designs end-to-end UX for mission-critical public safety products (emergency dispatch, video security, first responder apps) at Motorola Solutions in Kraków, while pioneering AI-assisted design methods — using Figma plus generative AI tools and code-assisted prototyping — across the global UX team.
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.
We are looking for a skilled designer with a proven record of shipping intuitive, end-to-end solutions for complex systems. Beyond core craft, you are an early adopter who works non-linearly - running parallel explorations, prototyping early, and leveraging AI tools to quickly validate ideas. You challenge traditional design paradigms without compromising quality by proving new methods on real products, sharing insights globally, adopting effective tools, and retiring outdated ones.
Because our products support first responders in critical moments, you will apply AI design methods with clear intent: knowing when to automate, when to keep a human in the loop, and how to design for trust in systems that behave probabilistically.
- 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. Be prepared to walk through your workflow and toolset, not just final artifacts.
- 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.
You Might Be a Great Fit If
- You'd rather put a working prototype in front of a user this week than wait for a perfected slide deck: you know when to polish and when to learn.
- AI is already a daily partner in your practice: not a feature you design around, but a tool you design with.
- You track where model capabilities are heading and design for where the technology will be in a year, not only where it is today.