Product Validation Engineer

About the Role

What You Bring

• Bachelor’s degree in engineering, data science or similar area of study preferred
• Greater than 2 years of experience in test development, data analytics, engineering or related disciplines
• Interest in working with customer data, surveys, or feedback tools
• Ability to summarize findings in a clear, visual, and actionable way (Excel, PowerPoint, etc.)
• A proactive mindset, strong attention to detail, and natural curiosity about how consumers use products
• Familiarity with AI tools for data analysis.
• Proven record of accomplishment in the design and build of test equipment to support thermal, mechanical, repetitive motion and/or other testing needs
• Benefits & Perks:
• Click here to learn about the benefits and perks we offer at YETI.
• YETI is proud to be an Equal Opportunity Employer.
• Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at yeti.com/esg.html.
• All applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.
• YETI Applicant Privacy Notice
• YETI welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation in order to apply for a job, please contact us at [email protected].

Qualifications

• Bachelor’s degree in engineering, data science or similar area of study preferred
• Greater than 2 years of experience in test development, data analytics, engineering or related disciplines
• Interest in working with customer data, surveys, or feedback tools
• Ability to summarize findings in a clear, visual, and actionable way (Excel, PowerPoint, etc.)
• A proactive mindset, strong attention to detail, and natural curiosity about how consumers use products
• Familiarity with AI tools for data analysis.
• Proven record of accomplishment in the design and build of test equipment to support thermal, mechanical, repetitive motion and/or other testing needs
• Click here to learn about the benefits and perks we offer at YETI.
• YETI is proud to be an Equal Opportunity Employer.
• Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at yeti.com/esg.html.
• All applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.
• YETI Applicant Privacy Notice
• YETI welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation in order to apply for a job, please contact us at [email protected].

Responsibilities

• Convert customer use cases into test protocol and requirements.
• Use market research methodologies and data from surveys, interviews, prototype user testing, to determine appropriate use conditions for new products.
• Use AI for planning, executing, and analyzing consumer studies (alongside me and the templates I could create)
• Use your data analysis skills for analyzing both quantitative and qualitative data in various formats (e.g. excel, transcripts, within survey platforms like Qualtrics).
• Partner with product management and industrial design to understand the target consumer, how they intend to use, or may misuse, the product and use this information to determine appropriate testing baselines.