Teams at SharkNinja

The AI Product Manager oversees AI initiatives, translating business goals into actionable plans, collaborating on product delivery, and ensuring data integrity and compliance.

Leads qualitative and quantitative consumer research supporting trends, early-stage product development, and innovation. Develops research plans, surveys, interview guides, and focus groups; identifies unmet customer needs; translates feedback into product recommendations; manages internal and external research resources and budgets; synthesizes complex findings; and presents actionable insights to cross-functional stakeholders and leadership.

Manage Product Excellence programs across the product lifecycle, from inception through end-of-life. Track quality requirements, star-rating predictions, testing, certification gaps, VEGA Hack actions, STOP Production issues, JIRA items, and RCCA closures. Coordinate Engineering, Product Development, Testing, Supply Chain, and regional teams; escalate risks, ensure accountability, and represent Product Excellence in executive and cross-functional forums. Drive timely issue resolution, consumer-focused quality outcomes, and consistent program-management standards.