AI Data Ops Program Manager - Product Data & Pipelines

Meta; Phoenix (AZ); On-site; USD 132,000 - 189,000; Full time

Job summary

Meta is seeking a Program Manager to drive AI solutions and product data operations programs that support the Superintelligence Lab. You will oversee end-to-end data operations across model training pipelines, data quality initiatives, and annotation workflows to ensure high-quality data for AI features.

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

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.

Responsibilities

• Manage and deliver product data operations programs that support AI model training, evaluation, and deployment pipelines across multiple product teams
• Partner with research, engineering, and product teams to define data requirements, align on quality standards, and prioritize data collection and annotation efforts for AI solutions
• Identify and resolve bottlenecks in data labeling, annotation, and curation workflows to ensure timely delivery of high-quality training datasets
• Break down complex data operations challenges into manageable components, applying systematic analysis to design and implement scalable solutions aligned with AI product roadmaps
• Develop and maintain program documentation including data governance frameworks, workflow specifications, risk registers, and milestone tracking for AI data initiatives
• Engage team leaders and cross-functional stakeholders to build alignment on program direction, surface risks proactively, and drive decisions that unblock data operations work
• Track and communicate program health metrics — including data throughput, quality rates, and delivery timelines — adapting communication style and format to technical and non-technical audiences
• Leverage AI tools and workflow automation to improve the efficiency and quality of data operations processes, sharing learnings to scale adoption across the team
• Contribute to team-level goal setting by synthesizing insights from data operations performance and translating them into actionable recommendations for AI product teams
• Adapt program plans in response to shifting AI product priorities, regulatory requirements, or data availability constraints, maintaining focus on highest-impact deliverables

Skills

Program management

Data operations

AI/ML knowledge

Cross-functional collaboration

Data pipelines

Data labeling

Communication with leadership

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Computer Engineering, Human-Computer Interaction, or related field

Master's degree in Computer Science, Artificial Intelligence, Computer Engineering, Human-Computer Interaction, or related field

Job description

Meta is seeking a Program Manager to drive AI solutions and product data operations programs that support the Superintelligence Lab. You will oversee end-to-end data operations across model training pipelines, data quality initiatives, and annotation workflows to ensure high-quality data for AI features.

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