Business Operations Associate, Wearables

Meta; Burlingame (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Meta is seeking a seasoned finance professional to join the Wearables Product Finance and Planning team. You will own the wearables operating and long-range plans, build unit economics, and lead forecasting and scenario modeling to guide product decisions.

You will drive strategic insights, develop flow-efficient analytics, and manage cross-functional projects, including leveraging AI to optimize workflows and ensure high-quality outputs across the wearables portfolio.

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 workflows and drive measurable impact.
• SQL experience with data analysis, visualization, and reporting automation.
• Experience adhering to responsible, ethical AI practices (risk assessment, bias mitigation, quality reviews).
• Hardware Financial Modeling experience, with wearables or consumer electronics focus.
• Ongoing AI skill development (prompt/context engineering, agent orchestration).

Responsibilities

• Own wearables operating plan and long-range plan, including unit economics.
• Lead forecasting and planning, develop strategic and operational insights.
• Model financial scenarios to guide product and business decisions.
• Drive process management and improvement across the wearables portfolio.
• Collaborate with cross-functional stakeholders to deliver analyses and recommendations.

Skills

Business Strategy

Finance

Investment Banking

Forecasting

Data Analytics

Data Visualization

Scenario Analysis

Cross-functional Collaboration

AI Tools

SQL

Prompt/Context Engineering

Education

Bachelor's degree in Finance, Economics, Engineering, Math, Statistics, or related analytical field

Tools

SQL

Data Visualization Tools

Job description

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.

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 analysisli>
• 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)
• 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