AI Data Ops Program Lead for Product Pipelines

Meta; Menlo Park (CA); On-site; USD 99,000 - 144,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Meta in Menlo Park, CA seeks a Product Operations Manager for Central and Standalone AI data operations to lead end-to-end data programs spanning model training, data quality, and annotation workflows. You will partner with researchers, engineers, and product teams to define data requirements and ensure high-quality data for AI features.

The role focuses on governance, risk tracking, and scalable solutions, with emphasis on cross-functional alignment, metrics, and responsible AI practices.

Qualifications

• Bachelor's degree or equivalent practical experience; degree completed prior to joining Meta.
• 6+ years of experience in program management, data operations, or technical operations roles supporting AI, ML, or data-driven product development.
• Or 2+ years of such experience with a Bachelor's degree in CS, AI, CS Engineering, HCI, or related field.
• Understanding AI/ML model development and data requirements across the model lifecycle.

Responsibilities

• Manage and deliver product data operations programs supporting AI model training, evaluation, and deployment pipelines.
• Partner with research, engineering, and product teams to define data requirements and data collection/annotation priorities for AI solutions.
• Identify and resolve bottlenecks in data labeling, annotation, and curation workflows to ensure high-quality training datasets.
• Break down data operations challenges into manageable components and design scalable solutions aligned with AI roadmaps.
• Develop and maintain program documentation including data governance, workflow specs, risk registers, and milestone tracking.
• Engage leaders and stakeholders to build alignment, surface risks, and drive decisions blocking data ops work.
• Track and communicate program health metrics like throughput, quality, and delivery timelines for varied audiences.
• Leverage AI tools and workflow automation to improve data operations efficiency and scale learnings across the team.
• Synthesize insights from data ops performance into actionable recommendations for AI product teams.
• Adapt plans in response to shifting AI priorities, regulatory requirements, or data availability.

Skills

Program management

Data operations

Cross-functional collaboration

Communication with stakeholders

AI/ML familiarity

Education

Bachelor's degree or equivalent (related field)

Major in CS/AI/CE/HCI or related technical field

Job description

Meta in Menlo Park, CA seeks a Product Operations Manager for Central and Standalone AI data operations to lead end-to-end data programs spanning model training, data quality, and annotation workflows. You will partner with researchers, engineers, and product teams to define data requirements and ensure high-quality data for AI features.

The role focuses on governance, risk tracking, and scalable solutions, with emphasis on cross-functional alignment, metrics, and responsible AI practices.