Operations Manager
About the role
Founding Operations Manager role at Human Archive, a robotics data lab. Own end-to-end lifecycle of field operations, build core operating systems, and ensure high-velocity, high-quality data collection in real-world environments. Early-career friendly, based in India (India/US visa not required).
Responsibilities
- Source, structure, and manage site partnerships to unlock access to real-world labor environments, and convert that access into executed field deployments
- Own the end-to-end execution of field operations, from site readiness and kit logistics to on-site execution and post-site closure
- Lead and support large field teams, ensuring consistent execution through SOPs, checklists, and real-time problem solving
- Plan and run high-velocity data collection campaigns, balancing speed, scale, data quality, and operational constraints
- Build, operate, and continuously improve core ops systems across sites, kits, data offloading, audits, and payouts
- Identify failure points in the field and translate them into durable process improvements, not one-off fixes
Qualifications
- Prior experience in operations, top startups, logistics, marketplaces, consulting, banking, or field work is a plus, but not required
- Recent graduates or dropouts, early-career candidates, or experienced operators based in India
- Ability to lead field teams, manage on-site execution, and ensure reliable data capture and upload workflows
- Strong communication skills with the ability to move fast, make decisions with limited information, and take full ownership
- Strategic thinker ready to take on unglamorous, conventionally impossible problems and work harder than they ever have before
Skills
About Human Archive
Multimodal data provider for robotics and world modeling
We’re archiving the physical world for embodied intelligence by collecting and labeling aligned multimodal data. To build dexterous and perceptive robots that generalize robustly, we need massive amounts of real-world data across multiple modalities and environments. We have thought deeply about the fine line between biomimicry and its application to humanoid systems. Based on this research, we design and deploy custom hardware across residential and manufacturing settings. We then post-process the resulting data through internal QA, anonymization, and annotation pipelines to deliver diverse, high-fidelity datasets at scale to frontier labs developing robotics foundation models and general-purpose robotics companies. We believe we are at a historic inflection point, with a unique opportunity to leave a dent on humanity and reshape physical labor markets forever. That's why our team dropped out of Stanford and Berkeley and moved to Asia to collect the world’s largest annotated multimodal dataset.
More open roles at Human Archive
- Head of Engineering3mo agoHybrid (San Francisco, CA, US / IN) · Engineering
- Embedded / Electrical Engineer3mo agoSan Francisco · Engineering
- Industrial Designer3mo agoHybrid (San Francisco, CA)
- QA / Hardware Test Engineer3mo agoHybrid (San Francisco, CA) · Engineering
- Videographer3mo agoHybrid (India)