Product Data Operations, Reality Labs Project Manager
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 pivotal 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. This is a unique opportunity to work on cutting-edge projects that will shape the future of AI at Meta!
Locations
- Redmond, WA, USA
Salary
116,000 - 168,000 USD / yearly
Estimated Salary Rangemedium confidence
140,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- 8+ years of industry experience in a consumer-oriented product environment, consulting, operations, or project management role (experience, 8 years)
- Experience prioritizing and ensuring key initiatives move forward, managing multiple cross-functional stakeholders, and working with urgency (experience)
- Executive presence and effective communications skills (experience)
- Critical thinking/analytical leadership experience (experience)
- Proven team player adaptable to a fast-paced environment (experience)
Preferred Qualifications
- Experience leading robotics, computer vision, or multimodal data collection programs, including hardware setup, participant logistics, and annotation workflows (experience)
- Familiarity with data enrichment and labeling pipelines, from raw capture to QA and ground-truth generation for perception and manipulation tasks (experience)
- Experience designing and scaling annotation taxonomies or metadata frameworks for large-scale visual datasets (experience)
- Familiarity defining collection and labeling quality metrics, balancing throughput, cost, and fidelity (experience)
- Understanding of robot learning (imitation, RLHF, or teleoperation) data requirements and evaluation methodologies (experience)
- Background working with data collection vendors, crowd platforms, or in-house labs to achieve consistent quality at scale (experience)
Responsibilities
- 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
Benefits
- compensation: bonus + equity + benefits
