Business Operations Manager, New Revenue Initiatives

Meta; Menlo Park (CA); On-site; USD 230,000 - 270,000; Full time

Job summary

Meta is seeking a seasoned Finance and Business Planning leader to drive strategic initiatives, build long-term plans, and influence executive stakeholders. You will deliver data-driven recommendations, partner with product and business leaders, and shape the company’s AI-enabled monetization strategies while managing high-impact cross-functional programs.

The role emphasizes independent ownership, strategic thinking, and the ability to translate complex models into actionable plans that advance

Qualifications

• 9+ years of experience in business strategy, finance, analytics, or consulting and planning BA/BS in a quantitative field or equivalent
• Experience in data analytics, data visualization, and scenario-based analysis
• Experience leading cross-functional projects with executive stakeholders
• Experience supporting Enterprise or SaaS Go-To-Market motions and AI monetization
• Experience working in a complex, fast-paced environment or in a high-growth company
• Experience working directly with executives
• High level of ownership and experience in driving cross-functional initiatives with minimal guidance
• Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact
• Ongoing AI skill development and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices

Skills

Data analytics

Data visualization

Scenario-based analysis

Cross-functional leadership

Executive communication

AI monetization

AI tools integration

Risk assessment

Responsible AI

Ownership mindset

Education

BA/BS in a quantitative field

Job description

Finance and Business Planning is a highly mission-driven organization. Our mission is to enable Meta to plan, prioritize, and execute as effectively as possible. We take a uniquely long-term view towards business problems. It is critical that we operate with an independent and objective perspective and can represent our point of view to our partners and executive stakeholders. We serve as financial advisers to our business partners and own shared business goals and results where appropriate. We strive to balance our responsibility to support business partners with our responsibility to serve the long-term mission and sustainability of Meta and act as stewards of the company's resources. This role requires strategic thinking, building connections and influencing stakeholders through effective communication, an analytical mindset, and a bias towards action. You will be challenged to understand and contribute to rapidly changing business models, drive collaboration across teams, develop recommendations on strategic investment decisions, craft annual and long-term plans, and partner with leaders to solve problems and achieve goals. Our promise: you will gain invaluable experience in a position that offers significant responsibility, interaction with product and business leaders, and an opportunity to have a big impact.

Requirements

• 9+ years of experience in business strategy, finance, analytics, or consulting and planning BA/BS in a quantitative field (data science, computer science, economics, finance, etc.) or an equivalent degree/experience
• Experience in data analytics, data visualization, and scenario-based analysis
• Experience leading cross-functional projects with executive stakeholders
• Experience supporting Enterprise or SaaS based Go-To-Market motions and or new revenue lines with an emphasis on AI monetization (e.g. Subscriptions, Enterprise Contracts)
• Experience working in a complex, fast-paced environment or in a high-growth company
• Experience working directly with executives
• High level of ownership and experience in driving cross-functional initiatives with minimal guidance
• 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)