Marketing Intelligence and Strategy Manager

Responsibilities

• Conduct market research for the Wearables marketing landscape – identify industry trends, competitor positioning, messaging, and channel strategies
• Assess and optimize our overall marketing strategy to ensure our budget and resource allocations are focused on the right set of tactics and growth levers
• Design and implement scalable processes, frameworks, and analytical tools that enable data-driven marketing decisions across the organization
• Partner with Brand, Product Marketing, and Finance to shape the marketing strategy
• Synthesize insights into clear strategic recommendations for leadership

Requirements

• 8+ years of experience with marketing strategy or brand marketing of consumer products
• Familiarity with marketing measurement, attribution, and media mix modeling
• Experience managing marketing budgets and demonstrating return on investment for investments
• Track record of building cross-functional partnerships to shape marketing strategies
• Experience in analyzing complex, long-term, critical problems and driving solutions for them
• High tolerance for ambiguity and the ability to create execution plans where none existed
• Bachelor's degree in a relevant field (e.g., Marketing, Business, Analytics, or related discipline)

Preferred

• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• MS/MBA degree in a relevant field
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience and/or domain knowledge in AI, augmented reality, virtual reality, mixed reality, wearable devices, mobile devices, and/or hardware and software platforms
• Experience bringing new consumer technology products to market
• Experience owning and overseeing multiple portfolio areas and marketing strategies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)