About this role
Join the Wearables Product Finance and Planning team at Meta, where you will play a crucial role in driving strategic decisions that shape the future of wearable technology. Move these responsibility details to the RESPONSIBILITIES section. Replace with a high-level overview of the role and team. This is a unique opportunity to work on a blend of finance, strategy, and analytics across the full Wearables portfolio, while focusing on process management and improvement. Our ideal candidate is a rigorous, contributor with experience spanning finance, strategy, and analytics who can be a key contributor in a fast-paced growth environment.!
Responsibilities
Conduct detailed financial analysis to influence business investment decisions
Provide analytical support and develop actionable insights throughout the planning cycle, from the long-range plan to monthly forecasts
Drive data-driven decision-making and analyze strategic roadmap investments for wearable products, partnering with product teams to translate launch, volume, and pricing changes into the long-range plan
Own unit economics and standardized Product P&L models with a deep understanding of cost drivers and long-term strategic implications for wearable products
Offer insights through scenario-based P&L modeling, surfacing risks and opportunities for wearable products
Lead ad hoc strategic and operational projects, driving the planning process improvements and automation, and identifying opportunities for cost savings and efficiency gains
Foster strong business partnerships across various functions within the Wearables team, including product, hardware engineering, operations, marketing, and sales, serving as the single source of truth for planning numbers
Develop financial reporting for leadership and drive executive forums, including monthly operating plan reviews, to influence financial decision-making for wearable products
Qualifications
3+ years of experience in business strategy, finance, or investment banking
Bachelor's degree in Finance, Economics, Engineering, Math, Statistics, or related analytical field
Experience building complex financial models (e.g., multi-scenario P&L, unit economics, long-range planning models)
Experience in forecasting, data analytics, data visualization, and scenario-based analysis
Experience leading cross-functional projects with stakeholders 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 adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
SQL experience, with a focus on data analysis, visualization, and reporting automation
Hardware Financial Modeling experience, with a focus or interest in wearable products or consumer electronics