Program Manager, Product Data Operations

Meta; Augusta (ME); On-site; USD 132,000 - 189,000; Full time

Job summary

Meta seeks a Program Manager to lead AI data operations programs supporting model training, evaluation, and deployment. You’ll coordinate researchers, engineers, product and operations to define strategies, manage dependencies, and translate complex data challenges into scalable, high-quality data workflows.

You will drive governance, milestones, and risk tracking while leveraging AI tools to improve efficiency and data quality across multiple product teams.

Qualifications

• 6+ years of program management, data operations, or technical operations roles supporting AI, ML, or data-driven product development
• Bachelor’s degree in CS/AI/CE/HCI or related technical field (or 2+ years with degree)
• Understanding of AI/ML model development and data lifecycle requirements
• Experience managing cross-functional data pipelines, labeling, and AI training data quality initiatives
• Experience communicating findings to technical and non-technical leadership
• Experience identifying inefficiencies and implementing scalable data/AI operations solutions

Responsibilities

• Lead end-to-end data operations programs for AI model training, evaluation, and deployment pipelines
• Define data requirements, quality standards, and prioritize data collection and annotation efforts
• Identify bottlenecks in labeling, annotation, and curation to meet delivery timelines
• Break down data operations challenges and design scalable AI-aligned solutions
• Maintain program docs, governance frameworks, risk registers, and milestones
• Engage stakeholders to align on direction, surface risks, and unblock work
• Track program health metrics and adapt communications to audiences
• Leverage AI tools and automation to improve efficiency and quality
• Translate data insights into actionable recommendations for product teams
• Adapt plans to changing AI priorities and data availability

Skills

Program management

Data operations

AI model training

Cross-functional collaboration

Data governance

Data labeling workflows

Workflow optimization

Stakeholder communication

Education

Bachelor's degree in CS/AI/CE/HCI

Master's degree (preferred)

Job description

Summary:

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.

Required Skills:

Program Manager, Product Data Operations Responsibilities:

1. Manage and deliver product data operations programs that support AI model training, evaluation, and deployment pipelines across multiple product teams

2. 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

3. Identify and resolve bottlenecks in data labeling, annotation, and curation workflows to ensure timely delivery of high-quality training datasets

4. Break down complex data operations challenges into manageable components, applying systematic analysis to design and implement scalable solutions aligned with AI product roadmaps

5. Develop and maintain program documentation including data governance frameworks, workflow specifications, risk registers, and milestone tracking for AI data initiatives

6. Engage team leaders and cross-functional stakeholders to build alignment on program direction, surface risks proactively, and drive decisions that unblock data operations work

7. 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

8. Leverage AI tools and workflow automation to improve the efficiency and quality of data operations processes, sharing learnings to scale adoption across the team

9. Contribute to team-level goal setting by synthesizing insights from data operations performance and translating them into actionable recommendations for AI product teams

10. Adapt program plans in response to shifting AI product priorities, regulatory requirements, or data availability constraints, maintaining focus on highest-impact deliverables

Minimum Qualifications:

Minimum Qualifications:

1. 6+ years of experience in program management, data operations, or technical operations roles supporting AI, machine learning, or data-driven product development

2. 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

3. Fundamental understanding of AI/ML model development and the data requirements across the model lifecycle — including training, evaluation, and fine-tuning data needs

4. Experience managing cross-functional programs involving data pipelines, data labeling, annotation workflows, or AI training data quality initiatives

5. Experience in analyzing operational data and communicating findings and recommendations to technical and non-technical stakeholders at varying levels of leadership

6. Experience identifying process inefficiencies and implementing scalable solutions within data or AI operations environments

Preferred Qualifications:

Preferred Qualifications:

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

4. 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

5. Experience managing vendor or outsourced data annotation and labeling operations at scale

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

7. Experience working directly with research or machine learning teams to define data requirements and evaluate the quality of datasets for AI model development

8. Familiarity with data governance practices, metadata management, or compliance considerations relevant to AI training data

Public Compensation:

$132,000/year to $189,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff

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