---
title: 'Operations Manager at Human Archive'
canonical: 'https://feeny.ai/job/operations-manager-human-archive-india-dhnzsq0kkv6g'
type: 'job'
last_seen: '2026-09-09'
---

# Operations Manager at Human Archive

- **Company:** Human Archive
- **Location:** India
- **Employment:** full-time
- **Posted:** 2026-08-03
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/humanarchive/02450494-adb8-4c8e-8720-492f5319247d

## Job description

## ABOUT THE ROLE

Human Archive runs large-scale field deployments to collect egocentric robotics data.

We are hiring a Field Operations Manager to own the day-to-day execution of these deployments. You will coordinate field teams, hardware, transportation, schedules, and deployment locations to make sure every operation starts on time and hits its daily targets.

This is a highly hands-on role for someone who is organised, resourceful, and comfortable solving problems in real time.

## WHAT YOU WILL DO

- 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

## WHO WE ARE LOOKING FOR

- Strong experience in field operations, logistics, workforce management, or last-mile operations
- Excellent at coordinating large numbers of people and moving parts
- Highly organised and detail-oriented
- Comfortable working with targets, dashboards, and daily performance metrics
- Strong communication and people-management skills
- Calm and decisive when things go wrong
- Willing to be on the ground and take full ownership of execution
- High agency, urgency, and willingness to do whatever is required to get the deployment completed

Experience at companies such as Blinkit, Zepto, Swiggy, Urban Company, Delhivery, Porter, Amazon, Flipkart, or similar operations-heavy businesses is a strong advantage.

This is not a strategy-only role. You will be expected to be closely involved in daily execution and field problem-solving.

## About Human Archive

## Core Business
- **Primary industry**: Data infrastructure for robotics and embodied artificial intelligence
- **Target customers**: Frontier AI labs, robotics companies, and academic researchers (B2B)
- **Mission**: To build the “Common Crawl for human sensorimotor intelligence” – a massive, aligned multimodal dataset that captures how humans interact with the physical world, enabling robots to automate manual labor and advancing understanding of human cognition.

## Products & Services
- **HA-Multi Dataset**: Fully aligned multimodal dataset including RGB-D (stereo depth via IR dot projection), tactile gloves, body IMUs, wrist cameras, and audio. Provides structured outputs such as 3D MANO hand reconstructions, 2D tactile force maps, depth maps per timestamp, and human pose reconstructions.
- **HA-Ego Dataset**: Monocular RGB vision dataset with wrist cameras, annotated with environment/scene descriptions, task labels, hand tracking, object segmentation, SLAM, and 3D pose reconstruction.
- **Custom Hardware Rigs**: Proprietary headset-mounted cameras, tactile gloves, full-body motion capture suits, and wrist cameras designed for synchronized data capture across multiple modalities.
- **Data Collection & Annotation Services**: End-to-end pipeline including QA, anonymization (face blurring), and annotation, delivered as structured datasets to customers.
- **Model Fine‑Tuning & Evaluation**: Internal capability to fine‑tune AI models on collected data and test them on robots to validate dataset quality.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (seed‑stage private company)
- **Key Metric**: Total funding raised – $8.2 million (seed round, announced May 2026)
- **Notable Investors/Partners**: Wing Venture Capital, NVP Capital, Y Combinator, and angels from OpenAI, Nvidia, Google, Mercor, AfterQuery, BAIR, SAIL, Brad Boa, and Meta. [techcrunch.com](https://techcrunch.com/2026/05/26/human-archive-taps-into-indias-services-startups-to-collect-data-for-physical-ai/)
- **Growth Signals**:
  - 1,000+ active headsets deployed across multiple locations (homes, hotels, restaurants, etc.)
  - Capacity to collect up to 8,000 hours of data per day
  - Signed national‑level partnerships to scale contributor network to 50,000+ people
  - Expanding operations from India into Southeast Asia and the United States
  - Already shipped datasets to frontier research teams

## Competitive Advantages
- **First‑mover in synchronized multimodal data at scale**: No other company has been able to simultaneously capture headset RGB‑D, force feedback, full‑body motion capture, and wrist camera data in a time‑aligned manner across thousands of real‑world environments.
- **Custom hardware**: Over seven proprietary hardware products (rigs, caps, tactile gloves, suits) designed specifically for high‑quality, scalable data collection.
- **On‑the‑ground operations in India**: Low‑cost, high‑volume data collection through partnerships with gig‑economy service providers, allowing rapid scaling.
- **Strong founding team**: Researchers from Stanford and Berkeley with deep backgrounds in robotics, hardware, and operations.

## Strategic Focus
- **Scaling data collection**: Expanding the contributor network to 50,000+ people and entering new geographies (Southeast Asia, U.S.).
- **Building the “Common Crawl for human sensorimotor intelligence”**: Creating the largest annotated multimodal dataset of human physical interaction.
- **Vertical integration**: Developing fine‑tuning and model evaluation services to demonstrate dataset quality and capture more value.
- **Partnerships with service companies**: Offering discounted cleaning, cooking, or other services in exchange for data collection consent (early pilot stage).

## Why Work Here
- **Mission‑driven**: Opportunity to work on foundational infrastructure for automating manual labor and advancing embodied AI – a historic inflection point.
- **Early‑stage impact**: Join a Y Combinator‑backed startup just months old, with direct influence on product, data pipeline, and research direction.
- **Work environment**: Hybrid/remote options available; offices in San Francisco (in‑office for some roles, remote for others). [builtin.com](https://builtin.com/company/human-archive)
- **Team culture**: Small, tight‑knit team (18 employees as of mid‑2026) of engineers and operators who “dropped out of Stanford and Berkeley” to pursue this vision.
- **Cutting‑edge tech**: Work with custom hardware, multimodal sensor fusion, large‑scale data pipelines, and state‑of‑the‑art robotics models.
- **Open roles**: Engineering (Research, ML, Infrastructure, Firmware, Embedded, Hardware Test) and Operations (Head of Operations). [ycombinator.com](https://www.ycombinator.com/companies/human-archive/jobs)

## Sources
1. [humanarchive.ai](https://www.humanarchive.ai/) – Company website
2. [builtin.com](https://builtin.com/company/human-archive) – Company profile, headcount, office locations, job listings
3. [ycombinator.com](https://www.ycombinator.com/companies/human-archive) – Y Combinator company page, founding details, funding, jobs
4. [techcrunch.com](https://techcrunch.com/2026/05/26/human-archive-taps-into-indias-services-startups-to-collect-data-for-physical-ai/) – TechCrunch article on $8.2M seed round, business model, and operations

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