AI-Forward UX Designer for Mission-Critical Systems

Motorola Solutions

Kraków

Híbrido

PLN 90.000 - 130.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Private medical coverage
Dental coverage
Stock Purchase Plan

Descripción de la vacante

Motorola Solutions is seeking an AI-Native UX Designer in Krakow to lead end-to-end experiences for mission-critical public safety products. You will collaborate with product managers, developers, data scientists, and researchers to embed AI-assisted methods into human-centered design workflows.

The role emphasizes rapid prototyping, validation with usability testing, and the adoption of AI-driven workflows to accelerate discovery while maintaining trust in complex systems.

Formación

  • Proven track record delivering intuitive, end-to-end solutions for complex systems.
  • Fluency integrating modern AI tools into your process to accelerate discovery, iteration, and execution.
  • Ability to articulate design decisions with a focus on human-in-the-loop and automation boundaries.

Responsabilidades

  • AI-Forward Prototyping & Execution: build testable artifacts using AI and rapid prototyping workflows.
  • Process Modernization & Tool Evaluation: run structured experiments and standardize winners across teams.
  • Innovate & Validate: define North Star visions and conduct usability tests for mission-critical scenarios.

Conocimientos

Figma
AI tools
Prototyping with code
Cross-functional collaboration
Portfolio

Herramientas

AI coding assistants
Prototyping tools

Descripción del empleo

Motorola Solutions is seeking an AI-Native UX Designer in Krakow to lead end-to-end experiences for mission-critical public safety products. You will collaborate with product managers, developers, data scientists, and researchers to embed AI-assisted methods into human-centered design workflows.

The role emphasizes rapid prototyping, validation with usability testing, and the adoption of AI-driven workflows to accelerate discovery while maintaining trust in complex systems.

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