Tutor Intelligence

Production Supervisor - Robotics Assembly at Tutor Intelligence (Watertown, MA)

Tutor Intelligence· Watertown, MA· $40–$55/hr·

Role details

Salary
$40–$55/hr
Work type
Onsite
Employment
Full-Time
Level
Manager

Job description

About Tutor

We believe robots are the biggest lever we have to making the physical world a better, more affordable place. But robots are a rounding error in our society: nearly nine out of ten American factories and warehouses don’t even have a single robot, and robots have yet to make their way into our homes or places of business. Tutor Intelligence is changing that. Tutor is a robotics research and deployment company, building generally capable robot hardware and artificial intelligence to enable robots to go where no robots have gone before. Sonny is a semi-humanoid robot with frontier dexterity approaching the human form. Cassie does back-breaking work, moving boxes, pallets, and bulk goods for businesses from family-owned manufacturers to some of the largest brands in the world. Tutor robots are manufactured at scale and operate as a network, combining the whole fleet’s learned experience to train ever more capable robot artificial intelligence. Founded at MIT and headquartered in Watertown, MA, our team is full stack: we design and manufacture robot hardware, train our own models, work directly with the smallest and largest end-customers, and maintain our fleet across the United States. We’re a team of researchers, engineers, technicians, operators, and sellers who love building things and solving hard problems. Our mission is grand: robots everywhere, for the common good, raising the standard of living across North America, and then the world.

Tutor Intelligence builds and deploys autonomous palletizing and case-pick robots at customer facilities across the US. Our Watertown, MA manufacturing facility is scaling production of our Cassie robot toward 1,000+ robots by 2028, and we're looking for a Production Supervisor to lead the Cassie assembly and test line.

The Role

You'll lead a team of assembly and test technicians building the Cassie robot subassemblies. You'll own daily output, quality, and safety, and you'll help build the processes our scale-up depends on. This is a working leadership role: you'll be on the floor and jump in with the team when needed. You'll report to the Head of Manufacturing.

What You'll Do

  • Lead, schedule and develop a team of production technicians to hit daily and weekly Cassie build targets
  • Own line performance: throughput, first-pass yield, on-time delivery and labor efficiency
  • Run daily start-up meetings, track KPIs, and escalate risks early
  • Drive root cause and corrective action on build and test failures with Production Engineering
  • Create and maintain work instructions, standard work and visual management
  • Bring engineering changes (ECOs) onto the line on schedule without disrupting output
  • Enforce safety, ESD and 5S standards, plus traceability in our MES (ION)
  • Hire, cross-train and coach technicians, and build future leads
  • Lead a shift independently and hand off cleanly to the other shift supervisor as we move to two shifts
  • Train and certify new and contract technicians quickly using standard work, skills matrices and sign-offs
  • Make sure every ECO and redline is posted at the station, briefed to the team, and verified across all robots in WIP
  • Own shift attendance and expectations, holding the team accountable fairly and consistently
  • Take field and test defects back to the line, correct the cause, and confirm the fix on every affected robot

What You Bring

  • 3+ years supervising technicians in electromechanical assembly (robotics, automation or capital equipment preferred)
  • Hands-on with mechanical assembly, cable harnesses, and basic electrical troubleshooting and test; willing to jump in on the line alongside the team
  • A track record of improving a line, not just running one, and building processes where none exist yet
  • A quality-first mindset: you protect first-pass yield and will stop the line when something is wrong
  • Working knowledge of Lean methods and structured problem solving (5 Whys, fishbone, 8D)
  • Comfort with an MES/ERP and managing by data
  • A people developer who gives direct feedback and grows their team
  • Clear communicator who works well with Engineering and Supply Chain and stays calm under pressure
  • Experience leading a large contract or temporary workforce through high turnover
  • Able to spot workmanship defects such as bad crimps, swapped wires and poor strain relief, and willing to stop a robot from moving forward until it is right
  • Comfortable working a second shift

Nice to Have

  • Experience at a startup or on a new production line ramp
  • Lean Six Sigma certification
  • Experience with industrial robot arms or mobile robots
  • IPC/WHMA-A-620 or IPC-A-610 certification
  • A degree or certification in a technical field

Why Tutor? Whether you’re designing robots, closing deals, running deployments, or creating the processes that help us scale, your work doesn’t sit on a shelf. It shows up on real production floors, making physical work safer and more affordable. Our team of 160+ is driven by curiosity and a genuine love of building. Everyone here takes real ownership, learns fast, and holds a high bar while having each other’s backs. If you love hard problems and creating things that didn’t exist before, you’ll fit right in.

Why work at Tutor Intelligence

  • Culture: Fast-paced startup with deep roots in MIT CSAIL research – a blend of cutting-edge AI/robotics and real-world industrial impact.
  • Work model: On-site in Watertown, MA (employees work from physical offices). Offices also in India, Canada, Portugal, South Africa.
  • Growth: 278% YoY headcount growth, 38 open roles across engineering, research, sales, and operations – strong upward mobility.
  • Roles: Robotics engineers, perception engineers, full-stack developers, research scientists, field technicians, account executives, and more.
  • Perks: Not explicitly listed, but emphasis on 24/7 remote support, always-on AI improvements, and no contract lock-in suggests a team that values reliability and customer success.
  • Engineering culture: Focus on solving hardest problems in machine intelligence; teams work at the edge of AI, robotics, and operations.

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