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Human Archive

Provides real-world multimodal data for robotics

Field Operations Manager

Operations & LogisticsConfirmed live in the last 24 hours
Full-timeIndiaNo salary listedIn-person

About the Job

Requirements

  • Strong experience in field operations, logistics, workforce management, or last-mile operations.
  • Ability to coordinate large numbers of people and moving parts.
  • Ability to work with targets, dashboards, and daily performance metrics.
  • Strong communication and people-management skills.
  • Willingness to work on the ground and take full ownership of execution.
  • High agency, urgency, and willingness to do what is required to complete deployments.

Responsibilities

  • Plan and manage daily field deployments.
  • Coordinate field teams, team leads, vehicles, hardware, and deployment locations.
  • Create daily schedules and assign people across projects.
  • Ensure teams receive the right equipment and reach locations on time.
  • Track attendance, deployment progress, productivity, and daily targets.
  • Coordinate with inventory teams for hardware dispatches and returns.
  • Handle transport, accommodation, vendor, and other logistical requirements.
  • Resolve last-minute issues such as absences, delays, hardware failures, or location changes.
  • Maintain clear daily reports and operational dashboards.
  • Improve processes to make deployments faster, more reliable, and more efficient.
  • Help launch operations in new locations and cities.
  • Hire, train, and manage field coordinators and team leads as the operation scales.

Desired Qualifications

  • Experience at operations-heavy companies such as Blinkit, Zepto, Swiggy, Urban Company, Delhivery, Porter, Amazon, Flipkart, or similar organizations.

About the Company

Human Archive

Provides real-world multimodal data for robotics

Human Archive collects and curates real-world, multimodal data to train physical AI and robotics systems. It uses a hardware-enabled platform with camera-equipped headsets, tactile gloves, and motion-capture systems to record and synchronize egocentric video, depth, audio, motion, and haptic logs across homes, restaurants, and industrial settings. The data undergoes quality assurance, anonymization, and annotation to produce high-fidelity datasets for robotics companies and AI research labs. By providing large-scale data collection and labeling infrastructure through its partner network, the company aims to address the shortage of real-world training data for embodied intelligence and physical AI models.

Company size
51-200
Company stage
Seed
Total funding
$8.3M
Headquarters
San Francisco, CA
Founded
2025

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