Summary:
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. Responsibilities will include owning the wearables operating plan, long-range plan, and unit economics, leading forecasting and planning, developing strategic and operational insights, and modeling financial scenarios to guide product and business decisions. 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. The right candidate will have experience delivering financial analysis and strategic insights in a dynamic, evolving business environment.
Required Skills:
Business Operations Associate, Wearables 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
Minimum Qualifications:
Minimum 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
Preferred Qualifications:
Preferred Qualifications:
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- SQL experience, with a focus on data analysis, visualization, and reporting automation
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Hardware Financial Modeling experience, with a focus or interest in wearable products or consumer electronics
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Public Compensation:
$103,000/year to $154,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.