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Summary:

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!

Required Skills:

Product Data Operations, Reality Labs Project Manager Responsibilities:

1. Lead strategic, cross-functional initiatives to improve the speed, consistency, and quality of Reality Labs data delivery

2. Build frameworks and tools that support horizontal scaling — including intake templates, tracking systems, and process playbooks

3. Drive alignment on program setup, scope, evaluation design, and success metrics across XFN partners

4. Communicate program status, risks, and opportunities to leadership and stakeholders

5. Support development of scalable measurement practices — making it easier for teams to track quality, throughput, and impact

6. Lead and mentor other individuals on the team

Minimum Qualifications:

Minimum Qualifications:

7. 8+ years of industry experience in a consumer-oriented product environment, consulting, operations, or project management role

8. Experience prioritizing and ensuring key initiatives move forward, managing multiple cross-functional stakeholders, and working with urgency

9. Executive presence and effective communications skills

10. Critical thinking/analytical leadership experience

11. Proven team player adaptable to a fast-paced environment

Preferred Qualifications:

Preferred Qualifications:

12. Experience leading robotics, computer vision, or multimodal data collection programs, including hardware setup, participant logistics, and annotation workflows

13. Familiarity with data enrichment and labeling pipelines, from raw capture to QA and ground-truth generation for perception and manipulation tasks

14. Experience designing and scaling annotation taxonomies or metadata frameworks for large-scale visual datasets

15. Familiarity defining collection and labeling quality metrics, balancing throughput, cost, and fidelity

16. Understanding of robot learning (imitation, RLHF, or teleoperation) data requirements and evaluation methodologies

17. Background working with data collection vendors, crowd platforms, or in-house labs to achieve consistent quality at scale

Public Compensation:

$116,000/year to $168,000/year + bonus + equity + benefits

**Industry:** Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].