Marketing Manager, Wearables (APAC)

We are hiring a Marketing Manager to lead wearables marketing in APAC, owning market strategy, integrated Go-To-Market, and end-to-end creative and media leadership. This is a leadership role and will drive category narrative, launch experience, and sustained growth by partnering closely with Product Marketing, Retail, Sales/Partnerships, Communications and external agencies. The role will also own business health, tracking sales, leading indicators on brand health and performance, identifying risks, and escalating critical mitigations and decision asks to leadership.

• 15+ years of experience in integrated marketing, Go-To-Market, product/category marketing, or brand/performance marketing (consumer tech/devices/retail)
• Proven ownership of market-level strategy and execution in APAC markets
• Demonstrated ownership of media strategy and budget with performance management and optimization
• Proven experience with creative strategy/briefing skills and a track record of leading creative and media agencies to deliver high-quality outcomes
• Proven cross-functional leadership through influence (Product Marketing Manager/Product, Retail, Sales/Partnerships, Communications, Analytics)
• Experience with executive communication and stakeholder management and experience in driving decisions in ambiguous situations
• Experience with incrementality/brand lift testing and mixed-method measurement
• Experience with APAC retail programs (in-store demos, merchandising, promoter training, retail events)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience marketing hardware/devices (smart glasses, wearables, smartphones)
• Experience leading partner GTM with major accounts (marketplaces, large-format retail, specialty, operators) and co-marketing governance
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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