Sr Manager, Data Factory Operation

Your Role

As the Senior Manager of Data Factory Operation, you will lead the mid-end functions of Data Factory, overseeing both centralized and decentralized data production pipelines. You are responsible for the end-to-end execution of large-scale data collection-ranging from environment design to real-world robot data submission-to support the training of Embodied AI (EAI) models.

Responsibilities

Site Infrastructure & Layout Design (Centralized Operations)

• On-demand Environment Construction: Direct the design, renovation, and construction of physical data collection sites based on specific project needs.
• Scenario Layout: Manage the setup of diverse scenarios, including retail (supermarket shelves), light manufacturing (electronics assembly), and industrial production lines (conveyor belts).
• Resource Management: Oversee the rental and maintenance of centralized collection robots and data processing hardware.

Large-Scale Operational Execution

• Workforce Management: Lead the global contributor network, including the onboarding, contracting, and registration of decentralized data collectors.
• Throughput Management: Execute high-volume collection tasks, such as the 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.

Standards, Quality & Acceptance

• Standardization: Design and enforce action standards and acceptance criteria for all collected data.
• Data Integrity: Ensure technical compliance (1080p+, 30FPS+, FOV 130+, IMU sync) and quality rejection of unstable or occluded footage.
• Preliminary Acceptance: Supervise the screening, filtering, and clipping of raw robot data and egocentric streams before submission to clients.
• Compliance & Privacy: Guarantee that all Visible Personally Identifiable Information (PII) is anonymized/blurred before delivery.

Client Support & Technical Liaison

• Remote & On-site Support: Provide technical and operational support for client-specific teleoperation and data inquiry needs.
• Feedback Loops: Continuously optimize data collection actions and execution protocols based on client feedback and model performance metrics.

Basic Qualifications

• 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, operations management or aftersales.
• Deep understanding of data privacy laws (GDPR/CCPA) and PII handling requirements.
• Proven experience managing complex data production pipelines across centralized and distributed operational models.
• Strong understanding of Embodied AI (EAI), 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, including 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 Personally Identifiable Information (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 client delivery teams.
• Excellent analytical and problem-solving capabilities with a data-driven approach to operational optimization and continuous improvement.
• Experience supporting enterprise or technical clients, including troubleshooting, remote operational support, and translating client feedback into process improvements.
• Exceptional written and verbal communication skills, including documentation, reporting, and stakeholder management.
• Willingness to travel domestically and internationally to support site launches, client engagements, and operational execution as needed.

Preferred Qualifications

• Technical Knowledge: Familiarity with data quality control, VR Teleoperation, and multi-modal data formats (MCAP, HDF5).
• Experience working with humanoid robots, autonomous mobile robots (AMRs), or embodied AI model training datasets.
• Familiarity with synthetic data generation, simulation environments, or robotics benchmarking methodologies.
• Experience managing global contributor or crowdsourcing networks for AI data collection initiatives.
• Knowledge of manufacturing, warehouse automation, or industrial engineering workflows.
• Experience with cloud-based data infrastructure, data pipelines, or MLOps environments.
• PMP, Lean Six Sigma, or other operations/project management certifications are a plus.

Benefits

($180,000 - $200,000 DOE), plus benefits and incentive plans:

Perks + Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment
• Culturally diverse, progressive atmosphere