Strategic Partner Manager, Wearables

Meta is building the future of human connection through wearable devices, including smart glasses and augmented reality hardware. The Wearables partnerships team is responsible for cultivating and scaling the ecosystem of strategic partners that power these products.

• In this role, you will define and lead high-impact partnership strategies that accelerate the adoption of Meta AI across hardware partners. You will operate at the intersection of product, business development, and emerging technology to shape how people access Muse on Wearables.
• 8+ years of experience in strategic partnerships or alliance management within consumer hardware, mobile platforms, or adjacent technology ecosystems
• Experience leading end-to-end partnership post-deal signing, performance measurement, and lifecycle management of a product
• Experience defining partnership strategy at an organizational level, including prioritization frameworks, partner segmentation, and long-term planning
• Track record of partnering with Product and Marketing organizations
• Experience communicating partnership strategy and business outcomes to executive audiences through written proposals, briefings, and structured presentations
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience operating in a matrixed organization where partnership outcomes depend on sustained cross-functional influence across product, engineering, and go-to-market teams
• Experience in communicating effectively with a broad range of stakeholders and a track record of growing influence inside and outside of a product organization
• Willingness to travel domestically and internationally for business engagements
• Experience working on partnerships specifically within AI, AR, VR, or wearable device ecosystems
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)