# Production Supervisor - Robotics Assembly at Tutor Intelligence > Onsite · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/lever%3Atutorintelligence%3A6a24392e-e948-48de-b55c-dd75abe720df (read 2026-11-04). ## Facts (observed) - Company: [Tutor Intelligence](https://alderhq.app/companies/tutor-intelligence) - Location text: Watertown, MA - Where it can be done from (inferred): Onsite · United States (evidence: "Location: Watertown, MA") - Posted: 2026-10-24 (10 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.lever.co/tutorintelligence/6a24392e-e948-48de-b55c-dd75abe720df ## Pay and sponsorship - Posted pay: not posted ## Description (the employer's text) 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. Our robots range from a semi-humanoid with frontier dexterity approaching the human form to workhorses that do 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 robot production, and we're looking for a Production Supervisor to lead our robot assembly and test line. ### The Role You'll lead a team of assembly and test technicians building 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 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 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Atutorintelligence%3A6a24392e-e948-48de-b55c-dd75abe720df and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.