Meta is seeking a Program Manager to lead AI solutions and product data operations programs that directly support Meta Superintelligence Lab. In this role, you will oversee end-to-end data operations programs spanning AI model training pipelines, data quality initiatives, and annotation workflows — ensuring that product teams have the high-quality data they need to build and scale AI-driven features. You will collaborate closely with researchers, engineers, product, and operations partners to define program strategies, resolve cross-functional dependencies, and translate complex data challenges into actionable, scalable solutions.

Qualifications:

6+ years of experience in program management, data operations, or technical operations roles supporting AI, machine learning, or data-driven product development; or 2+ years of such experience with a Bachelor's degree in Computer Science, Artificial Intelligence, Computer Engineering, Human-Computer Interaction, or a related technical field Fundamental understanding of AI/ML model development and the data requirements across the model lifecycle — including training, evaluation, and fine-tuning data needs Experience managing cross-functional programs involving data pipelines, data labeling, annotation workflows, or AI training data quality initiatives Experience in analyzing operational data and communicating findings and recommendations to technical and non-technical stakeholders at varying levels of leadership Experience identifying process inefficiencies and implementing scalable solutions within data or AI operations environments 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) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience using AI-powered tools or workflow automation platforms to redesign and accelerate data operations processes, including demonstrated application of responsible and ethical AI practices such as bias mitigation and quality review Experience managing vendor or outsourced data annotation and labeling operations at scale Master's degree in Computer Science, Artificial Intelligence, Computer Engineering, Human-Computer Interaction, or a related technical field Experience working directly with research or machine learning teams to define data requirements and evaluate the quality of datasets for AI model development Familiarity with data governance practices, metadata management, or compliance considerations relevant to AI training data