Sr Manager, Data Factory Operation

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

Benefits offered by this job

Healthcare benefits

401(k) options

Casual dress code

Diverse work environment

Job summary

Faraday Future is seeking a Senior Manager, Data Factory Operation to oversee data production pipelines and enforce quality standards. This role requires strong expertise in robotics and data operations to support embodied AI model training.

The ideal candidate will have over 10 years of relevant experience and a deep understanding of data privacy laws and operational management. The position offers an annual salary of $180,000 - $200,000 with benefits.

Qualifications

• 10+ years of experience in large-scale operations.
• Experience with data production pipelines across centralized and distributed models.
• Strong knowledge of embodied AI and robotics systems.

Responsibilities

• Lead core functions of the Data Factory and supervise data production pipelines.
• Manage scenario layouts and oversee resource management for data collection.
• Enforce standards for data quality and compliance.

Skills

Robotics knowledge

Data privacy laws

Project management

Data collection

Operational optimization

Education

Bachelor's or Master’s degree in Robotics, Computer Science, Mechanical Engineering, Industrial Engineering, or Data Science

Tools

RGB/RGB-D cameras

LiDAR

VR teleoperation systems

Job description

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.

Your Role

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.

Responsibilities

Site Infrastructure & Layout Design (Centralized Operations)

• 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.

Large‑Scale Operational Execution

• 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.

Standards, Quality & Acceptance

• 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.

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, 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 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

• Familiarity with data quality control, VR teleoperation, and multi‑modal data formats (MCAP, HDF5).
• Experience working with humanoid robots, autonomous mobile robots, 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.

• Healthcare, dental, and vision benefits (free for you, discounted for family).
• 401(k) options.
• Casual dress code and 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.