Sr Manager, Data Factory Operation

Faradayfuture; El Segundo (CA); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Healthcare + dental + vision benefits

401(k) options

Casual dress code

Culturally diverse atmosphere

Job summary

Faraday Future is seeking a Senior Manager of Data Factory Operation located in El Segundo, California. The individual will oversee large-scale data production pipelines to support the training of Embodied AI models.

This role demands significant experience in managing data collection, strict adherence to privacy laws, and the ability to lead diverse teams through complex operational tasks. Competitive salary and a progressive work environment are part of the offering.

Qualifications

• 10+ years of experience in large-scale operations specifically tied to data collection.
• Deep understanding of data privacy laws (GDPR/CCPA).
• Proven ability to manage complex production pipelines.

Responsibilities

• Lead the design and renovation of data collection sites.
• Oversee the global contributor network for data collection.
• Ensure compliance with data quality and privacy standards.

Skills

Data production pipeline management

Robotics systems knowledge

Operations management

Analytical skills

Education

Bachelor’s or Master’s degree in Robotics or related field

Tools

RGB/RGB-D cameras

LiDAR

VR teleoperation systems

Job description

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.

Annual Salary Range

(\$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

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.