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RESPONSIBILITIES

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• Own end-to-end design research for hardware programs, including early-stage requirements generation, color/material/finish evaluation, prototype exploration, and competitive benchmarking
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• Design, execute, and synthesize usability and human factors studies focused on physical product interactions across the product lifecycle
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• Lead reporting and communication of research insights with a focus on hardware design, usability, and member experience
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• Support research protocol design and evaluation of software experiences, directional prototypes, and emerging product concepts
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• Prioritize research opportunities and findings in a cross-functional environment, partnering closely with Industrial Design, Engineering, Product Management, and other stakeholders
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• Proactively identify and conduct research that informs decision-making for both individual contributors and leadership teams
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• Contribute to research initiatives across a variety of product spaces, including applied research, exploratory concepts, and product validation efforts
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QUALIFICATIONS

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• Bachelor’s or Master’s degree in Industrial Design, User Experience, Human-Computer Interaction (HCI), Human Factors, Psychology, Design Research, or a related field
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• 3–5 years of experience conducting product research in an applied research, human factors, usability, or user-centered design environment
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• Experience utilizing mixed-methods research approaches for consumer technology, wearable devices, health products, or related experiences
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• Demonstrated ability to independently design, execute, and synthesize research studies that drive product and design decisions
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• Strong communication and storytelling skills, with experience presenting insights to cross-functional stakeholders and leadership
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• Working knowledge of research operations, data management systems, and productivity tools including Google Workspace
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• Strong attention to detail, organizational skills, and ability to manage multiple projects in a fast-paced environment
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• Experience working directly with study participants or customers in research, service, or participant-facing environments is a plus
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• Professional, collaborative, and proactive approach to cross-functional partnership
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• Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
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