Reality Labs Project Manager, Product Data Operations Job at Meta (Burlingame)

Job Description

Meta is looking for an experienced and motivated Project Manager to join the Product Data Operations (PDO) team. PDO provides data and insights that power machine learning and AI, at the core of all Meta products. As a Project Manager, you will play a key role in driving the success of Reality Labs programs by providing leadership and strategic oversight. You will collaborate with cross-functional teams, including researchers, engineers, and product managers, to ensure the efficient execution of Reality Labs initiatives. In this role, you will work on projects that advance AI capabilities at Meta!

Job Responsibility

Lead strategic, cross-functional initiatives to improve the speed, consistency, and quality of Reality Labs data delivery
Build frameworks and tools that support horizontal scaling — including intake templates, tracking systems, and process playbooks
Drive alignment on program setup, scope, evaluation design, and success metrics across XFN partners
Communicate program status, risks, and opportunities to leadership and stakeholders
Support development of scalable measurement practices — making it easier for teams to track quality, throughput, and impact
Lead and mentor other individuals on the team

Requirements

Bachelor's degree in a directly related field, or equivalent practical experience
6+ years of industry experience in a consumer-oriented product environment, consulting, operations, or project management role
Experience prioritizing and ensuring key initiatives move forward, managing multiple cross-functional stakeholders, and prioritizing work based on impact and deadlines
Executive presence and effective communications skills
Critical thinking/analytical leadership experience
Experience collaborating across teams and adapting priorities as project requirements evolve

Nice to have

Familiarity with data enrichment and labeling pipelines, from raw capture to QA and ground-truth generation for perception and manipulation tasks
Understanding of robot learning (imitation, RLHF, or teleoperation) data requirements and evaluation methodologies
Familiarity defining collection and labeling quality metrics, balancing throughput, cost, and fidelity
Experience designing and scaling annotation taxonomies or metadata frameworks for large-scale visual datasets
Experience leading robotics, computer vision, or multimodal data collection programs, including hardware setup, participant logistics, and annotation workflows
Background working with data collection vendors, crowd platforms, or in-house labs to achieve consistent quality at scale

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Reality Labs Project Manager, Product Data Operations

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