Reality Labs Project Manager, Product Data Operations

Meta•Burlingame, CA

1d•Onsite

About The Position

Meta is seeking a Site Manager to lead our teleoperation and robotics data collection operations. This role is at the epicenter of our data operations. You will work directly with the operators to oversee collection activities. You ensure the velocity and quality of data and a tight cross-functional feedback loop between AI researchers, hardware and software.

Requirements

Currently has, or is in the process of obtaining a Bachelor's degree in a directly related field, or equivalent practical experience. Degree must be completed prior to joining Meta
Technical Depth: Advanced proficiency in Unix/Linux environments and with experience debugging scripts (Python, Bash) to automate tasks or troubleshoot data pipelines
Stakeholder Management: Experience navigating the tension between "perfect" research data and "high-volume" operational reality, with the ability to influence research and engineering leaders
Onsite Leadership: Commitment to being onsite daily to drive physical operations and manage the local environment
2+ years of experience in technical project management, with experience in robotics, autonomous vehicles, or hardware-in-the-loop (HIL) environments
Direct Robotics Ops Experience: Proven track record of managing physical robot fleets or collections with complex hardware. Experience working around active robotic cells and specialized sensors

Nice To Haves

Embodied AI Knowledge: Familiarity with the data requirements for large-scale robot learning, including perception, motion planning, and data curation
Scaling Teleoperation: experience in running and scaling large-scale teleoperation programs (e.g., ALOHA, UMI, or VR-based interfaces) for imitation learning or reinforcement learning

Responsibilities

Floor Operations and Oversight: on-site leadership for data collection. Responsible for providing floor oversight, creating SOPs / ensure adherence, defining and implementing processes to scale throughput and maintain data quality to meet increasing data demands
Collection Ownership: Serve as the single point of truth for data quality and platform health for the site from a collections perspective. You will define the key performance indicators for "success" and ensure the embodiment is always optimized for collection
Researcher Partnership & Feedback Loops: Act as the primary on-site interface for AI researchers. You will translate research goals into operational protocols and provide high-signal "closed-loop" feedback to improve data and model performance
Strategic Communication & Visibility: Proactively surface technical blockers, hardware failures, and process bottlenecks to leadership. You will manage expectations across engineering and research stakeholders, ensuring the roadmap remains on track
Technical Debugging: You are expected to dive into the logs to understand root causes to any regression in throughput or data quality (leveraging Unix/Linux expertise and scripting (Python/Bash)) and recommending / implementing quick fixes or process changes
Onsite daily to drive physical operations and manage the local environment