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Maxinsights

Data platform for physical AI training

Data Operations Site Lead

Operations & LogisticsPosted on Nov 6
Full-timeSanta Clara, CA, USANo salary listed

About the Job

Requirements

  • At least 3 years of relevant professional experience in robotics operations, automation, technical operations, hardware deployment, manufacturing operations, or a related field.
  • Experience managing daily operations, including staffing plans, production metrics, resource allocation, and operational planning.
  • At least 1–2 years of experience leading teams, including hiring, training, performance management, and daily workforce scheduling.
  • Strong problem-solving skills and the ability to troubleshoot operational and technical issues in hands-on environments.
  • Experience coordinating equipment deployment, maintenance, testing, or integration of technical systems.
  • Strong written and verbal communication skills to coordinate effectively across technical and non-technical teams.
  • Strong organizational skills and the ability to manage multiple priorities in a fast-paced environment.
  • Ability to take ownership of onsite operations and make sound decisions in high-pressure situations.

Responsibilities

  • Oversee daily robotics and data collection operations, ensuring workflows, staffing, equipment, and project deliverables run smoothly.
  • Hire, train, manage, and develop onsite operations personnel; establish clear responsibilities, manage daily schedules, and maintain accountability across the team.
  • Oversee the setup, deployment, maintenance, troubleshooting, and lifecycle management of robotic systems, sensors, and data collection equipment.
  • Ensure data collection activities follow project specifications and standard operating procedures; monitor data quality, completeness, consistency, and production targets.
  • Develop and track operational key performance indicators, staffing plans, production metrics, and project milestones; identify bottlenecks and implement improvements to increase efficiency and throughput.
  • Coordinate onsite testing, equipment upgrades, workflow validation, and new technology integration in collaboration with engineering teams.
  • Serve as the primary onsite point of contact for Data Operations, Engineering, and other internal stakeholders; communicate progress, escalate issues, and align onsite execution with company objectives.
  • Build and refine operational procedures, documentation, training materials, and workflows to support consistent execution as the organization scales.

Desired Qualifications

  • Previous experience working with robotics systems, autonomous systems, or embodied AI technologies.
  • Experience supporting large-scale robotics data collection, sensor operations, or multimodal data acquisition.
  • Familiarity with robotic hardware, cameras, sensors, motion capture systems, or other data collection equipment.
  • Experience with robotics deployment, field operations, hardware integration, or technical service teams.
  • Experience working in a startup or rapidly scaling technology company.
  • Background in manufacturing, warehouse automation, e-commerce operations, or technical program management.
  • Experience establishing operational standard operating procedures, quality control processes, and performance reporting systems.

About the Company

Maxinsights

Data platform for physical AI training

Maxinsights builds the data layer for physical AI. It collects real-world human activity to create robot-ready training data, handling collection, quality control, annotation, and curation with its own models. Its products include MaxLoop, which scores and corrects data collection as it happens, and MaxGlove, a sensor glove that captures tactile touch and force data. The company operates globally through a network of over 5,000 contractors and serves more than 30 customers, using an end-to-end pipeline from data capture to delivery. Compared with competitors, it combines hardware (MaxGlove) and software (MaxLoop and related models) to provide real-time data quality feedback and a scalable data-collection infrastructure across many countries. Its goal is to enable reliable, robot-ready datasets for physical AI applications by expanding its data collection and software/hardware capabilities worldwide.

Company size
11-50
Company stage
Seed
Total funding
$30M
Headquarters
Not listed
Founded
2024

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