Engineering Manager, Production Engineering

Tutor Intelligence • Watertown, MA

2d • $175,000 - $225,000 • Onsite

About The Position

Tutor Intelligence is a robotics research and deployment company that designs and manufactures robot hardware, trains artificial intelligence models, supports customers, and maintains a fleet of robots across the United States. The Engineering Manager, Production Engineering leads the team responsible for taking robot designs from prototype to mass production and reports to the Head of Manufacturing.

This player-coach role sets direction, assigns work, develops the team, and remains hands-on in design reviews, hardware debugging, and production-floor problem solving. The manager designs and improves the systems and equipment used to build robots, including production processes, test systems, tooling, and engineering change control. These systems must support high-quality, cost-competitive production while robot designs change rapidly.

The role owns the transition from prototype through pilot builds to volume production; test and bring-up strategy from subassembly tests through final acceptance; manufacturing input into design changes; design-for-manufacturing partnership with hardware engineering; and root-cause resolution of recurring failures using production-line and field data. The position is onsite in Watertown, Massachusetts. Base salary is $175,000–$225,000, with equity; final compensation depends on experience, skills, and interview-assessed level.

Requirements

• Bachelor's degree in Electrical, Mechanical, Computer, or Mechatronics Engineering.
• Proven experience leading engineers by setting priorities, assigning work, reviewing output, and developing people; a formal manager or technical lead title is acceptable.
• Deep hands-on experience designing, integrating, and debugging complex electromechanical systems, including personally identifying root causes.
• Strong electrical fundamentals, including ability to read schematics, use oscilloscopes and meters, and isolate 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, such as fixtures, bring-up, end-of-line, or automated test systems.
• Hands-on design-for-manufacturing and design-for-test experience with design engineering.
• Experience managing engineering change on an active production line.
• Daily use of AI tools in engineering work, with the ability to demonstrate how they are used.

Nice To Haves

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

Responsibilities

• Set priorities and assign 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 can scale with production.
• 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 production-line test strategy, including subassembly bench tests, station tests, robot bring-up, and final acceptance, to detect defects early.
• Represent Manufacturing in design change reviews and manage implementation of changes on the production line while preserving quality and output.
• Partner with hardware engineering to ensure designs are buildable, testable, serviceable, and cost-effective.
• Use production-line and field data to identify root causes of recurring problems and drive permanent fixes.
• Personally debug electrical, mechanical, and system-level issues when needed to ship a robot.
• Build the production engineering team and production system as production grows.
• Use AI tools in engineering work and demonstrate their application.

Benefits

• Fully employer-covered health insurance.
• Managed 401(k).
• Unlimited paid time off and federal holidays off for full-time salaried employees.
• For hourly employees: 16 or more days of accrued paid time off and 1.5x pay on federal holidays.
• Regular in-office meals and team social events throughout the year.
• Equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager