Jobs
Benefits & Perks
•Competitive salary and bonus
•Health benefits
•Stock options
•Collaborative environment
•Development budget
•Healthcare
•Equity
Required Skills
SQL
Excel
Salesforce
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 are experienced representing 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 Inc. and act as stewards of company 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-range plans, and partner with product and business 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.
Finance Business Operations Manager, Marketing Responsibilities:
- Manage financial planning, budgeting, forecasting, and long-range planning for in-app promotional content and Reality Labs Marketing organizations
- Provide hands-on analytic support and develop actionable insights that will influence key decision makers to manage revenue displacements and marketing spend allocation
- Build data models and infrastructure to improve core reporting and processes for in-app promotions
- Conduct analyses to drive sound investment decisions, such as return on marketing spend
- Create business partnerships with leaders of all levels and functions across marketing, product growth, and decision science teams
- Help define and implement scalable financial processes
Minimum Qualifications:
- 7+ years of experience in finance, business strategy, analytics, or a related function
- BA/BS in Economics, Finance, Business, Math, or equivalent
- Experience manipulating data sets and work with system and analytics tools (e.g. Hyperion, SQL)
- Experience in applicable accounting concepts, financial planning, and reporting cycles
- Experience managing financials with business partners
Preferred Qualifications:
- Experience in marketing, marketing finance or digital advertising
- Experience with ROI and LTV (Lifetime Value) frameworks to optimize marketing investments
- Experience building relationships and communicating with stakeholders across all levels and functions
- Experience problem-solving independently, organizing workload and priorities, and completing tasks on time
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
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.
$131,000/year to $191,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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