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Open nowFirst seen 3 hours ago

Program Manager, Product Data Operations

Meta1,071 open roles

Where
Menlo Park, CA; Remote, US
Work mode
Remote
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Your applicationOpen nowProgram Manager, Product Data OperationsMeta · Menlo Park, CA; Remote, US

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: first seen 3 hours ago

Meta median: 35 days open

The posting

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.

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

Minimum 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

Preferred Qualifications

  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • 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
  • Experience managing vendor or outsourced data annotation and labeling operations at scale
  • Master's degree in Computer Science, Artificial Intelligence, Computer Engineering, Human-Computer Interaction, or a related technical field
  • Experience working directly with research or machine learning teams to define data requirements and evaluate the quality of datasets for AI model development
  • Familiarity with data governance practices, metadata management, or compliance considerations relevant to AI training data

US: $132,000/year to $189,000/year + bonus + equity

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