AI Data Operations Program Manager

Meta; Atlanta (GA); On-site; USD 132,000 - 189,000; Full time

Job summary

Meta is seeking a Program Manager to lead AI solutions and product data operations. You will oversee end-to-end data operations for AI model training pipelines, data quality initiatives, and annotation workflows, ensuring high-quality data for AI features across product teams.

You will collaborate with researchers, engineers, product, and operations partners to define strategies, resolve dependencies, and translate complex data challenges into scalable solutions that align with AI product

Qualifications

• 6+ years in program management, data operations, or technical operations supporting AI or data-driven product development
• Bachelor’s degree in CS/AI/related field required; master’s preferred
• Fundamental understanding of AI/ML model development and data needs across the lifecycle
• Experience managing cross-functional programs involving data pipelines, labeling, or training data quality
• Experience communicating findings to technical and non-technical stakeholders at various leadership levels
• Experience identifying inefficiencies and implementing scalable data/AI solutions

Responsibilities

• Manage product data operations programs supporting AI model training, evaluation, and deployment pipelines
• Define data requirements with research, engineering, and product teams; prioritize data collection and annotation efforts
• Identify bottlenecks in labeling, annotation, and curation workflows to ensure timely high-quality datasets
• Break down data ops challenges and design scalable solutions aligned with AI roadmaps
• Develop and maintain program docs including governance, workflows, risk registers, milestones

Skills

Program management

Data operations

AI/ML understanding

Education

Bachelor's in CS / AI / related technical field

Master's in CS / AI / related field

Job description

Meta is seeking a Program Manager to lead AI solutions and product data operations. You will oversee end-to-end data operations for AI model training pipelines, data quality initiatives, and annotation workflows, ensuring high-quality data for AI features across product teams.

You will collaborate with researchers, engineers, product, and operations partners to define strategies, resolve dependencies, and translate complex data challenges into scalable solutions that align with AI product