Meta · 17 hours ago
Robotics Program Manager, Product Data Operations
Burlingame, CA
Full-time
Onsite
Senior Level, Lead/Staff
$152K/yr - $214K/yr
10+ years expMeta is seeking a Program Manager to lead teleoperation and robotics data collection operations in Burlingame. This role involves overseeing data quality and operational processes while ensuring effective communication between AI researchers and the operational team.
Computer Software
Responsibilities
Floor Operations and Oversight: on-site leadership for Burlingame based 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 KPIs 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 broad 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
Qualification
Required
Bachelor's degree in a directly related field, or equivalent practical experience
10+ years of experience of project management or operations management experience
5+ years of experience in technical project management, specifically within robotics, autonomous vehicles, or hardware-in-the-loop (HIL) environments
Direct Robotics Ops Experience: Proven track record of managing teleoperation and/or collections with complex hardware. You will be working around active robotic cells and specialized sensors
Technical Depth: proficiency in Unix/Linux environments and the ability to write/debug 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, and can influence research and engineering leaders
Onsite Leadership: Commitment to being onsite daily in Burlingame to drive physical operations and manage the local environment
Preferred
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
Embodied AI Knowledge: Familiarity with the data requirements for large-scale robot learning, including perception, motion planning, and data curation
Crisis Management: Lead through hardware/software failures in high-stakes, time-sensitive environments without losing operational momentum
Benefits
Bonus
Equity
Benefits
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
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