Sr Manager, Data Factory Operation

About Faraday Future

Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company that leverages the latest technologies and world‑best talent to realize exciting new possibilities in mobility and robotics. FF produces user‑centric, technology‑first vehicles and robots to establish new paradigms in human‑AI interaction, aiming to change how we drive and interact with machines.

Senior Manager, Data Factory Operation – Lead the core functions of the Data Factory, supervising both centralized and decentralized data production pipelines. The role involves end‑to‑end execution of large‑scale data collection to support embodied AI (EAI) model training.

• On‑demand environment construction:
  Direct design, renovation, and construction of physical data collection sites based on project needs.
• Scenario layout:
  Manage setup of diverse scenarios including retail, light manufacturing, and industrial production lines.
• Resource management:
  Oversee rental and maintenance of centralized collection robots and data processing hardware.

• Workforce management:
  Lead the global contributor network, including onboarding, contracting, and registration of decentralized data collectors.
• Throughput management:
  Execute high‑volume collection tasks such as a 20,000‑hour industrial luggage factory requirement, managing 50+ devices across multiple shifts.
• SOP development:
  Maintain and update the "Data Collector User Manual," covering VR teleoperation instructions and sensor calibration protocols.

• Design and enforce action standards and acceptance criteria for all collected data.
• Ensure technical compliance with video resolution, frame rate, field of view, and sensor synchronization.
• Supervise screening, filtering, and clipping of raw robot data before client submission.
• Guarantee anonymization or blurring of all visible personally identifiable information (PII) before delivery.
• Provide technical and operational support for client‑specific teleoperation and data inquiry needs.
• Continuously optimize data collection actions and execution protocols based on client feedback and model performance metrics.

• Bachelor’s or Master’s degree in Robotics, Computer Science, Mechanical Engineering, Industrial Engineering, Data Science, or a related technical field.
• 10+ years of experience in large‑scale operations, robotics data collection, AI/ML data operations, manufacturing operations, or operations management.
• Deep understanding of data privacy laws (GDPR/CCPA) and PII handling requirements.
• Proven experience managing complex data production pipelines across centralized and distributed models.
• Strong knowledge of embodied AI, robotics systems, teleoperation workflows, sensor systems, and multimodal data collection processes.
• Hands‑on experience designing and operating physical collection environments such as retail spaces, warehouses, manufacturing lines, or industrial simulation environments.
• Demonstrated ability to scale high‑throughput operations involving large device fleets, multi‑shift execution, and geographically distributed contributors.
• Experience developing and enforcing SOPs, operational standards, quality control processes, and acceptance criteria for large‑scale data operations.
• Familiarity with robotics hardware and sensors including RGB/RGB‑D cameras, IMUs, LiDAR, VR teleoperation systems, and edge compute devices.
• Strong knowledge of data quality requirements, video resolution standards, synchronization validation, calibration procedures, and dataset integrity checks.
• Experience with data annotation, preprocessing, clipping, filtering, and dataset acceptance workflows for AI/ML training pipelines.
• Understanding of privacy, compliance, and data governance requirements, including anonymization and handling of PII.
• Proven ability to manage vendors, contractors, equipment rentals, and operational budgets in fast‑paced environments.
• Strong project management and cross‑functional coordination skills with the ability to align engineering, operations, and…