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Tutor Intelligence

Leases AI-powered manufacturing and packaging robots

Engineering Manager - Production Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeWatertown, MA, USA$175k - $225k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical, Mechanical, Computer, or Mechatronics Engineering is required.
  • Proven experience leading engineers by setting priorities, assigning work, reviewing output, and developing people; formal manager or technical lead titles both qualify.
  • Deep hands-on hardware experience designing, integrating, and debugging complex electromechanical systems, including personally finding root causes.
  • Strong electrical fundamentals, including reading schematics, using oscilloscopes and meters, and isolating problems across power, boards, harnesses, sensors, actuators, and communication interfaces.
  • Experience taking hardware from prototype through new product introduction into volume production.
  • Experience building production test systems, including fixtures, bring-up, end-of-line testing, or automated testing.
  • Hands-on design-for-manufacturing and design-for-test work with design engineering.
  • Experience managing engineering change on an active production line.
  • Daily use of artificial intelligence tools in engineering work, with the ability to demonstrate that use.

Responsibilities

  • Lead the Production Engineering team, setting priorities and assigning work across production engineers, test and bring-up engineers, technicians, and contract engineers; establish technical standards and review the team's work.
  • Hire, mentor, and develop engineers, and shape a team structure that scales as production grows.
  • Own the transition of new designs from prototype through pilot builds into volume production, including processes, work instructions, tooling, fixtures, and station design.
  • Own the test strategy across the production line, from subassembly bench tests to station tests, robot bring-up, and final acceptance, to catch defects early.
  • Represent Manufacturing in design change reviews and manage how changes are introduced on the line while maintaining quality and output.
  • Partner with hardware engineering to ensure designs are buildable, testable, serviceable, and cost-effective.
  • Use line and field data to identify root causes of recurring problems and implement permanent fixes.
  • Personally debug electrical, mechanical, and system-level issues when needed to ship robots.

Desired Qualifications

  • Experience building or scaling a production or manufacturing engineering team at a hardware startup.
  • Robotics or industrial automation experience.
  • Cost-reduction experience, including should-cost analysis, value engineering, or bill-of-materials and labor reduction.
  • Python experience for test automation, diagnostics, or data analysis.
  • Experience with manufacturing execution systems, traceability, or change-control systems.
  • Contract manufacturer or supplier bring-up experience.
  • A master's degree.

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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