Meta's Business Engineering team works on digital advertising and AI monetization at significant scale and complexity? As a Technical Program Manager (TPM) in Meta's Business Engineering team, you'll work at the intersection of technology, business, and global markets to support Meta's growth. In this role, you will:

• Accelerate Innovation at

Scale:

• Translate advertiser insights into Meta's product roadmap, leveraging client-driven prototypes to rapidly test, validate, and launch new ideas that impact billions of users and advertisers worldwide

• Drive Cross-Functional Impact:

• Lead high-priority, cross-functional programs that span Meta's business and product organizations, ensuring that the right technology solutions reach the right businesses efficiently
• Build as an

Operator:

• Develop your skills as a true operator, architecting and optimizing processes inside Meta's monetization ecosystem, and directly influencing the company's revenue trajectory

• Deliver Meaningful Results:

• Your work will not only accelerate Meta's business, but also empower businesses of all sizes to grow and succeed in a rapidly evolving digital landscape We're looking for experienced program managers who can navigate ambiguity, work efficiently, and are motivated to solve complex problems at the intersection of technology and business.

If you are interested in driving high-impact programs that shape Meta's advertising products and platforms, we encourage you to apply.

Qualifications:

Bachelor's degree in a technical discipline (e.g., Computer Science, Engineering, Information Systems) or equivalent practical experience 6+ years of program management experience in technology, digital advertising, business engineering, or a related field Demonstrated experience leading cross-functional programs in a matrixed, global organization, with a track record of delivering complex projects on time and at scale Strong organizational, coordination, and multi-tasking skills, with the ability to manage multiple priorities and stakeholders simultaneously Experience communicating with and building relationships across engineering, product, business, and external partners, including written and verbal communication of program status, risks, and decisions Analytical and problem-solving skills, with the ability to use data and insights to drive decision-making and continuous improvement Experience working with large-scale systems or platforms, with an understanding of the challenges and opportunities in scaling technology solutions Experience in enterprise B2B or platform go-to-market environments Demonstrated experience operating in early/pre-PMF product environments where scope, process, and playbooks are being defined (not just executed) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Track record of using AI to build operational tooling or automation to improve team efficiency at scale Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience coordinating across multiple geographies or regional teams with competing priorities Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with AI/ML product adoption in enterprise contexts