Business Operations Manager, Applied AI Engineering
Seattle, WA$176k–$247kPosted Jun 18, 2026
**Summary:**
As the Business Operations Manager for Applied AI Engineering (AAI Eng) organization, you will be a part of the team that manages the business operations across the entire org, working closely with leadership to help them grow, scale and run the business effectively. You will manage strategic initiatives ranging from business operations, process improvement, headcount movement, and employee engagement programs, enabling our team to execute and innovate at speed.AAI Engineering's mission is to make our AI models the industry-leading by building the data engine that helps our models get better, faster.
**Required Skills:**
Business Operations Manager, Applied AI Engineering Responsibilities:
1. Lead the scoping, structuring, and execution of high-priority cross-functional initiatives, from problem definition through delivery
2. Develop executive briefing materials, pre-read documents, and strategic frameworks that enable leadership to make high-quality decisions quickly in ambiguous and fast-moving contexts
3. Influence leadership teams by providing recommendations backed by data
4. Work with leadership to track progress on strategic projects, build decision-making frameworks, and ensure deliverables are on track
5. Leverage cross-functional relationships to drive company-wide touchpoints and leadership processes
6. Develop streamlined processes and mechanisms to improve operational efficiency and communication
7. Engage effectively with new teams and organizational contexts, independently identifying challenges and delivering actionable recommendations
8. Provide strategic partnership on organizational design, headcount planning, and operational model evolution in support of long-term business objectives
**Minimum Qualifications:**
Minimum Qualifications:
9. Bachelor's or Master's degree in a relevant field
10. 12+ years of experience in business strategy at a leading or startup tech company and/or in strategy consulting
11. Quantitative, analytical, and conceptual problem-solving skills, combined with business acumen
12. Experience problem-solving individually and in a group setting, with an AI-first mindset
13. Demonstrated ability to navigate senior stakeholder dynamics and influence decision-making
14. Track record of leading complex, ambiguous, cross-functional initiatives from inception to delivery in large, matrixed organizations with measurable outcomes
15. Experience designing and implementing operational infrastructure that enables executive organizations to operate at scale
16. Excellent communication skills, including the ability to produce clear, well-crafted documents and presentations
17. Experience communicating complex strategic and operational content to executive audiences through written briefings, structured frameworks, and stakeholder presentations
**Preferred Qualifications:**
Preferred Qualifications:
18. Background in tech, in an engineering, financial, project management, or operational capacity
19. Background in corporate strategy experience with demonstrated deployment into high-ambiguity organizational environments
20. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
21. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
22. Demonstrated ability to integrate AI tools and emerging technologies to redesign executive workflows, improve decision quality, and drive measurable operational efficiency gains
23. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
24. Experience working with confidential information while maintaining discretion
25. B.A. or B.S. degree in business, finance, or engineering
**Public Compensation:**
$176,000/year to $247,000/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.