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Finance & Business Operations Manager

Job in Menlo Park, San Mateo County, California, 94025, USA
Listing for: Meta Platforms
Full Time position
Listed on 2026-10-04
Job specializations:
  • Business
    Financial Analyst, Business Analyst, Data Analyst, Business Systems & Technology Analysis
Job Description & How to Apply Below
Position: Finance & Business Operations Manager, WhatsApp

Finance & Business Operations Manager, Whats App

Whats App's mission is to Connect the world privately. More than 3 billion people in over 180 countries use Whats App to stay in touch with friends and family, anytime and anywhere. Whats App is free and offers simple, secure, reliable messaging and calling, available on phones all over the world.

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 are financial advisers to our business partners, helping them solve their toughest challenges and operate with an independent and objective perspective. We take a uniquely long-term view towards our businesses, and our teams own shared business goals and results with our partners.

We're looking for a Finance Manager to support the full financial picture for Whats App. This is a visible and integral role across the organization - directly supporting business leaders across Product, Engineering, Data Science, and Monetization. You will support decisions around nascent product bets and resource allocation, expense management, and prioritization across a full range of planning, strategic decision making, and forecasting.

You'll engage daily with business leaders, and act as both a financial business partner and strategic advisor to the leadership team.

An ideal candidate will be interested in the Whats App product, have experience working with business leaders on monetization and investment decisions, have a demonstrated interest in data and technology, and be able to self direct highly ambiguous and strategic projects. This role will offer you the opportunity to understand and contribute to many facets of business and product strategy.

Responsibilities

Become an integral part of the org's strategy and planning processes

Own end-to-end partnerships with a broad range of Product leads

Drive nuanced ROI and impact frameworks across headcount, opex and capacity investments

Own day-to-day operational tasks related to budget management

Perform strategic / ad-hoc business analysis as required

Champion independent viewpoints across Whats App and Meta Finance leadership

Collaborate with horizontal Financial Planning & Analysis teams to improve and operationalize processes related to headcount planning, budgeting, forecasting, and long-range planning

Qualifications

10+ years of experience in finance / strategic finance, business strategy, product analytics, or related professional experience managing strategic investments and strategy

Financial leadership across headcount planning, budgeting, forecasting, and long-range planning

Experience synthesizing strategic insights and problem solving individually or in a group setting

Experience communicating, influencing, and relationship building with business leaders

Experience independently managing projects from scoping through delivery, including tracking details and maintaining organized documentation, and experience prioritizing competing work streams based on impact, deadlines, and stakeholder needs Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience in data analytics, developing code, and/or forecasting (SQL, Python, R)

Experience working at a leading technology, internet or high growth company

Experience supporting financial planning during periods of rapid organizational or product growth

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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