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Mid LevelFull-timeRustFigmaGitAI
Salary Range
$72,250 - $97,750 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a UX Design Lead to own the end-to-end user experience for our biometric iris-verification ecosystem. This role spans the full journey of both the person being scanned and the device operator who facilitates verification across a global deployment environment. You will shape every touchpoint—physical, digital, audio, and environmental—and ensure a seamless, intuitive, and trustworthy experience.
Key Responsibilities
- →Define and evolve the complete experience for participants and operators across all contexts of use
- →Create unified experience principles and frameworks that scale across product lines, regions, and user profiles
- →Design content, cues, and instructional elements for out-of-box experience, device surfaces, and deployment environments
- →Develop UX for all digital surfaces including on-device UI, remote displays, mobile apps, and web flows
- →Design and specify audio cues, lighting behaviors, and haptics for multi-sensory experiences
- →Plan and conduct user research with participants, operators, and deployment partners
- →Lead UX development from concept through launch for new hardware and software products
- →Monitor experience performance in real-world deployments and drive iterative improvements
Requirements
- ✓7+ years of UX, service design, or multi-modal experience design, ideally with hardware + software products
- ✓A strong portfolio demonstrating end-to-end systems thinking and multi-touchpoint experience design
- ✓Expertise in designing experiences that blend physical, digital, and sensory inputs
- ✓Hands-on prototyping skills (Figma, motion, audio, physical mockups)
- ✓Ability to lead research, synthesize complex data, and drive alignment across cross-functional teams
- ✓Experience working closely with hardware engineering, ID, firmware, and product teams is a plus
- ✓Comfortable working in a fast-paced, iterative environment with high ambiguity
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