Set and drive priorities and operating cadence to deliver against partnership and seeding objectives Own the strategic seeding roadmap, with an immediate focus on operationalizing and scaling the glasses seeding program across regions, verticals, and tentpole events Design, pilot, and scale program models (playbooks, governance, toolkits) that enable repeatable execution and partner activation at scale Build and manage relationships with internal leadership and cross-functional partners (e.g., Product, Hardware, Marketing, Comms, Legal, Policy) to align on strategy and unlock execution capacity Train colleagues across XFNs on glasses onboarding tactics to ensure a successful seeding experience for partners Develop and maintain external partner frameworks that support seeding logistics and tracking across creators, athletes, public figures, and institutional partners Create concise executive-ready materials (briefs, decision memos, talking points) to support rapid decision-making and leadership alignment Act as a nimble operator, shifting between strategic planning and hands-on execution as priorities evolve10+ years of experience in strategic programs, partnerships, operations, management consulting, or executive-level program leadership Experience building and scaling programs into repeatable, measurable operations Proven ability to influence and execute with cross-functional stakeholders in ambiguous, highly matrixed environments Experience translating complex topics into clear, executive-ready narratives for technical and non-technical stakeholders Bachelor's degree (or equivalent practical experience) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience in partnerships, media, sports, entertainment, or creator ecosystems Demonstrated ability to improve operating cadence and execution at scale across multiple markets or regions Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Track record of operationalizing hardware or product seeding programs with external partners Experience leveraging AI tools to streamline workflows and improve program effectivenessMeta builds technologies that help people connect, find communities, and grow businesses. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.