Meta builds technologies that help people connect, find communities, and grow businesses. The Paid, Off-Platform and Scams team within Meta’s global Integrity & Support Operations organization works to create safe, trustworthy experiences across Meta's platforms by building reliable, scalable systems that address policy violations, harmful content, and operational risk at scale. As Meta continues to expand its use of AI-assisted review and automated enforcement, human expertise remains essential to govern how these systems operate, ensure accountability, and maintain alignment with evolving integrity policies. In this role, you will drive operational programs that support integrity workflows, manage cross-functional initiatives, and help shape the systems and processes that keep Meta's platforms safe for billions of people worldwide.In this role, you will improve the quality and scalability of support for advertisers whose content is rejected across our ads, organic, and commerce surfaces. You will serve as a subject-matter authority for the foundation of AI-assisted resolution — bringing together human-generated evaluation labels, knowledge authoring, and agent-assisted workflows so that advertisers reach faster, more accurate answers at scale. Success is measured by resolution accuracy, time to resolution, and the share of cases AI-assisted workflows resolve without human escalation.Project Manager, Paid-Content Support Horizontal, Integrity Operations Responsibilities:Deeply understanding the architecture and integration points of Meta's advertiser support processes, products, and policies, including ad review, ad rejection appeals, and AI-assisted resolutionOwn ongoing evaluation labeling for AI-assisted support: define label taxonomies and rubrics, produce and audit gold-standard labels, and use label quality as the ground truth for model and agent performanceAuthor and maintain the knowledge that grounds agent-assisted resolution — ensuring content is accurate, policy-aligned, and machine-consumable — along with the standard operating procedures, escalation frameworks, and training materials that help operations teams apply policy consistentlyConduct case analyses on rejected-ad support contacts to identify failure patterns, root causes, and automation opportunities, and translate findings into product, policy, and process recommendationsManage end-to-end program delivery, including scoping, milestone tracking, and dependency management, while aligning cross-functional stakeholders across policy, engineering, and operations on priorities and communicating risks and blockers earlyTrack and report on key operational metrics such as case volume, resolution rates, policy coverage, and reviewer accuracy, translating data into actionable insights that inform leadership decisions and team strategyIdentify opportunities to improve tooling, automation, and human-in-the-loop processes that support advertiser support decision-making at scale, and collaborate with product and engineering partners to drive those improvementsMinimum Qualifications:4+ years of experience in an operational/strategic role within a technology, policy, analytical, or operations field, or equivalent consulting experienceExperience in resolving, communicating, and presenting issues and insights to both technical and non-technical audiencesDemonstrated experience in problem-solving with strong execution and the ability to influence and coordinate with cross-functional teamsAnalytically driven, with experience in understanding nuances and patterns within large data setsExperience with SQL and data visualizationPreferred Qualifications:Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience in integrity, misinformation, elections, or content policy operationsExperience managing vendor relationshipsExperience working with global teams and Experience working with global teams and cross-cultural stakeholdersAbout 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 WhatsApp 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.$99,000/year to $144,000/year + bonus + equity + benefitsIndividual 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.