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The Senior Product Manager will lead the strategy and delivery of business system features, managing key company metrics related to system performance and user experiences in ordering and logistics. The role includes collaborating with engineers, analyzing customer needs, and developing relationships with vendors to optimize operations.
The Wholesale Marketing Specialist at WHOOP will support marketing activities for retail partners, manage content and assets, develop store events, and ensure a consistent brand experience both online and in-store. The role involves multitasking and collaboration with various teams, contributing to visual merchandising, and utilizing consumer insights for marketing strategies.
The Senior UX Designer (Growth) at WHOOP is responsible for improving user engagement through innovative e-commerce design, conducting A/B testing, and collaborating with teams to enhance the core sign-up flow and shopping experience. This role emphasizes user-centric design while driving business objectives, requiring a strong understanding of user needs and the fitness industry.
The Corporate Counsel will advise on global privacy and data protection laws, coordinate with product and engineering teams, draft and negotiate agreements, conduct privacy training, and manage data subject requests. This role supports various business functions and works under tight deadlines, contributing to a culture of privacy awareness.
As the Head of Social Media at WHOOP, you'll lead the programming across owned media channels, develop content strategies, track performance metrics, mentor the social media team, and build partnerships to enhance brand awareness and member acquisition.
The Lab Technician will assist in building prototypes, testing concepts, and maintaining engineering labs while ensuring quality through electrical rework and mechanical assembly. Key responsibilities include managing test labs, conducting failure analysis, and performing 3D printer maintenance.
As a Signal Processing Engineer II, you will collaborate with cross-functional teams to enhance user metrics and validate wearable technology through algorithm development and data analysis. Your role involves monitoring algorithm performance, conducting statistical analysis, and implementing machine learning techniques to optimize biosensor systems.
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