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We are seeking a Product Validation Analyst to support the development and testing of next-generation athlete-focused systems that combine hardware, software, and human performance. This role is highly hands-on and focused on executing real-world testing with participants to ensure product quality, reliability, and performance. You will work closely with athletes, engineers, researchers, and product teams to run structured and exploratory testing sessions, capture system behavior, and translate findings into clear, actionable insights that drive product improvement. This is a detail-oriented, field-based role ideal for someone who enjoys working directly with physical systems, observing how they behave in real-world conditions, and contributing to iterative product development in a fast-paced environment.
Job Responsibility:
Plan, coordinate, and execute hands-on testing sessions with athletes and participants
Run structured and unstructured validation testing of experimental hardware-software systems
Collect, organize, and analyze qualitative feedback and system performance data
Identify, document, and reproduce system issues, anomalies, and unexpected behaviors
Perform regression testing across product updates and iterative releases
Support issue triage and collaborate with engineering teams to isolate root causes
Aggregate and analyze sensor, usage, and performance data using analytical tools
Translate athlete feedback into structured insights for engineering and product teams
Maintain detailed test documentation to ensure clarity, repeatability, and alignment
Support ongoing experimentation, iterative testing cycles, and release readiness
Requirements:
2+ years of experience in product testing, validation, QA, or test engineering
Experience working with physical products, hardware-software systems, or electromechanical devices
Background in human testing, field testing, or real-world validation environments
Strong ability to observe, document, and analyze system behavior and performance issues
Experience working with structured test protocols and regression testing
Comfort working directly with participants or athletes in testing environments
Strong communication skills and ability to collaborate with technical teams
Detail-oriented mindset with comfort in repetitive, high-precision testing work
Experience using Python, MATLAB, or Excel for data analysis
Familiarity with sensor data, motion capture, or performance tracking systems
Ability to work with data from hardware-integrated systems (wearables, robotics, or similar)
Nice to have:
Background in biomechanics, human movement, or applied sports science
Experience with embedded systems, robotics, or mechatronics
Exposure to athlete testing, sports performance labs, or research environments
Experience working in R&D, innovation labs, or early-stage product development
Familiarity with AI tools for data analysis or workflow acceleration