Join the fast growing Wearables / AI Smart Glasses and VR industry! Reality Labs is looking for a Field Sales Manager for our 3rd party retail channel. Reporting to the APAC Channel Enablement Head, this person will own the staffing strategy, deployment, and measurement of Field Sales and Training Programs. Lead the translation of Meta priorities into compelling sales and demo programs at retail. Liaison between Meta and our outside agency partners to design and execute demo programs that reflect our brand mission. Manage all aspects of our staffing program including coverage models, operations, sales, reporting, and strategy. Leverage industry subject matter expertise and ongoing learnings to consult and inform internal partners on strategic execution, impact, and future innovation.
Responsibilities
Drive revenue growth, market share expansion, and enhance brand advocacy and purchase consideration for Meta products Establish relationships and collaborate with internal departments (sales, channel, category) to ensure effective retail field program execution Lead internal meetings to discuss results, formulate strategy, define success metrics, and foster innovation through new solutions Manage the performance of the agency's field sales team, holding them accountable for program results, including execution metrics, budget, and ROI targets Regularly partner with staffing agencies (quarterly) to evaluate and optimize field coverage models, managing the allocation of field time across retailers, products, and channels Facilitate weekly conference calls and daily communication with the agency team, conducting weekly reviews of all performance measures Assume accountability for results, address discrepancies, and proactively strive for growth Manage Quarterly Business Reviews and agency evaluations, supporting and leading the agency field and account teams to contribute value to the program and achieve Meta's objectives Contribute to event execution strategy and measurement plans, directing agency staffing, education, and reporting. Collaborate on all event recaps and posting efforts, including lessons learned and future recommendations Directly collaborate with the Meta Training Lead on VR & Wearables training content, deployment, and measurement Provide actionable insights to leadership by reporting key industry activities, competitor positioning, retailer news, and customer issues/inquiries In partnership with the Data Science team, deliver analysis of VR & Wearables staffing sales impact Manage budgets for agency spend, initiating new contracts, purchase orders, and engagement with Finance. Proactively review spend reports to identify gaps and propose solutions
Qualifications
7+ years of experience in the retail consumer electronics industry 5+ years of experience in project management, leading large and small-scale retail initiatives, streamlining, troubleshooting, and building new processes 5+ years of experience managing retail staffing, including program leadership (account management, field management, etc.), measurements, field team reporting, data tools, analytics, and tactics Extensive experience and proven track record in managing relationships and consulting with cross-functional stakeholders, including Sales and Channel teams Existing knowledge of emerging technologies (AR/VR/Other), GTM strategy, and retail execution High level of accuracy and attention to detail, with experience detecting inconsistencies and proactively building solutions Demonstrated experience in physical and digital communication skills to package and present internal strategies, results, and recommendations Direct experience with staffing or Brand Ambassador programs at a consumer electronics manufacturer Experience in the Wearables, Artificial Intelligence, Virtual Reality, or Gaming industry Familiarity with local Consumer Electronic retail chains and their penetration strategies Proficiency in project management tools (e.g., Asana) Skilled in using dashboard reporting tools such as Power BI and Tableau 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) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies