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Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Technical Program Manager

Manufacturing EngineeringUpdated on Nov 10
Full-timeWatertown, MA, USANo salary listedIn-person

About the Job

Requirements

  • The ability to map a complex operational process clearly and quickly.
  • Experience influencing teams the role does not formally manage.
  • Humility and an understanding that the work is to build the best product rather than advance personal ideas.

Responsibilities

  • Work between manufacturing leadership and the tech lead of Tutor’s wider system development to determine how robots are built today within the wider organization.
  • Earn the trust of the manufacturing staff and build for both the technicians assembling robots and the leadership planning the roadmap.
  • Generate a roadmap for manufacturing tooling and orchestrate its execution; build tools and lead builders across the manufacturing organization.
  • Align the roadmap and execution with builders in other domains, such as customer support and go-to-market, to exchange ideas and ensure tools and processes dovetail with their work.

Desired Qualifications

  • Experience building software tools that operators use every day.
  • Experience in robotics, electromechanical manufacturing, or automation.

About the Company

Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Tutor Intelligence provides AI-powered manufacturing and packaging robots to American factories through flexible 12-hour leasing. The robots handle tasks like conveyor loading, end-of-line packing, kitting, palletization, and depalletization, and are powered by a hybrid human-artificial intelligence engine that enables deployment in minutes rather than months. Unlike traditional robotics purchases, the company offers a scalable, cost-effective leasing model that delivers a steady revenue stream while giving clients the ability to scale automation up or down as needed. The company’s goal is to help factories boost productivity and reduce labor costs by making automation accessible without large upfront investments.

Company size
51-200
Company stage
Series B
Total funding
$113.5M
Headquarters
Watertown, MA
Founded
2021

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