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Program Manager, Product Data Operations

Meta· Engineering
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Menlo Park, CA$132k - $189kFull-timePosted 2w ago

About the role

Program Manager to lead AI solutions and product data operations programs supporting Meta Superintelligence Lab, overseeing end-to-end data operations for AI model training, data quality, and annotation workflows across multiple product teams.

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

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

Skills

Required:Program managementData labeling and annotation workflowsData quality and governance

Benefits

  • bonus
  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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