Job description

About Tutor We believe robots will be the next chapter in making physical labor safer and more affordable. But, nearly nine out of ten American factories and warehouses don’t have a single robot. Tutor Intelligence is changing that. We build robots that go straight into real factories and warehouses, to do real work, with real impact. Our robot Cassie does back-breaking work, moving boxes, pallets, and bulk goods for family-owned manufacturers to some of the largest brands in the world. Our robot Sonny does handwork, using two arms to achieve human-like dexterity in picking and packing. Every robot learns on the job, and each one we deploy makes the next one more capable, more affordable, and faster to put to work. Founded at MIT and headquartered in Watertown, MA, we do it all in-house: the robotics hardware, the machine learning, and the field deployment and service. 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. The Role At Tutor, AI agents do most of the engineering work. They write the code, run the tests, triage CI, deploy to robots, and operate the tools the company runs on. That only works if the infrastructure underneath them is built for it: environments they can stand up, systems they can observe, tooling they can call, context they can read. We are looking for the person who will lead the team that builds and supports that infrastructure. The people who use this infrastructure are the engineers sitting next to you, and they do not file tickets and wait. When something in the commons breaks or gets in their way, they are on it immediately, often with an agent, and they expect you and your team to be there with them. That is the culture you would be joining and leading: users who operate what they use, and a central team that makes that possible rather than standing between them and the systems. You are responsible for the commons serving the whole. Shared infrastructure at Tutor is used by every team, and every team pulls it in its own direction. Your job is to keep it working for all of them: to decide what the center owns and what stays with the teams, to make the call when two teams need different things, and to be the accountable person when the shared layer fails. This is a senior role with organization-wide scope, and you set the direction for the function. We expect you to be hands-on. How much you build yourself and how much you lead others will depend on who you are, and the team grows as the work requires it, with you hiring it. What You'll Do Lead the team that builds the infrastructure agents run on: Environments, tooling, observability, and context, designed for agents first and for the humans directing them Keep the commons serving the whole: Decide what the central team owns and what each team owns, make the call when teams need different things from a shared system, and write the decisions down so they hold Be the accountable person when the shared layer fails: Production, CI, security, compliance. Make sure a problem reaches the right hands within the hour, and take the ones that are yours Work alongside the engineers who use what you build: They will be on a problem the moment it appears. Be there with them, and fix the cause rather than the report Build the team: Hire senior engineers, grow the team only as fast as the work requires, and set the direction for how a small team and a fleet of agents cover a large surface What We're Looking For 10+ years in infrastructure, platform, or systems engineering, including several leading a team or a function: You have owned shared infrastructure that a whole engineering organization depended on You have built for AI agents, not only with them: You have shaped environments, tooling, or workflows so that agents could do real engineering work, and you have opinions about what that takes You have been accountable for production: On-call, incident response, and the postmortems that followed, somewhere downtime cost something You lead by making others faster: Your platform work was adopted because it helped, and the people who used it came to you first when it didn't Comfortable with users who are also operators: You would rather engineers fix their own problems in your systems than route everything through you, and you build so they can Clear in writing: The decisions and standards you write are read and followed Nice to Have Robotics, hardware, or another company where infrastructure includes machines in the field Experience as a first platform or first security lead at a growing company Experience building a small, senior team rather than a large one 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. Benefits We take care of our team so they can do their best work. At Tutor, you’ll get: Fully employer-covered health insurance, so you’re protected without the premium. A managed 401(k) to help you plan for the future. Generous time off: unlimited PTO and all federal holidays off for full-time salaried employees, and 16+ days of accrued paid time off plus 1.5x pay on federal holidays for hourly employees. Regular in-office meals and team social events throughout the year. As Tutor grows, so will our benefits. We’re continuing to invest in ways to support our team at work and beyond. Tutor Intelligence is an equal opportunity employer and welcomes applicants from all backgrounds.

Requirements

Must-haves

Lead the team that builds the infrastructure agents run on: Environments, tooling, observability, and context, designed for agents first and for the humans directing them
Keep the commons serving the whole: Decide what the central team owns and what each team owns, make the call when teams need different things from a shared system, and write the decisions down so they hold
Be the accountable person when the shared layer fails: Production, CI, security, compliance. Make sure a problem reaches the right hands within the hour, and take the ones that are yours
Work alongside the engineers who use what you build: They will be on a problem the moment it appears. Be there with them, and fix the cause rather than the report
Build the team: Hire senior engineers, grow the team only as fast as the work requires, and set the direction for how a small team and a fleet of agents cover a large surface
10+ years in infrastructure, platform, or systems engineering, including several leading a team or a function: You have owned shared infrastructure that a whole engineering organization depended on
You have built for AI agents, not only with them: You have shaped environments, tooling, or workflows so that agents could do real engineering work, and you have opinions about what that takes
You have been accountable for production: On-call, incident response, and the postmortems that followed, somewhere downtime cost something
You lead by making others faster: Your platform work was adopted because it helped, and the people who used it came to you first when it didn't
Comfortable with users who are also operators: You would rather engineers fix their own problems in your systems than route everything through you, and you build so they can
Clear in writing: The decisions and standards you write are read and followed

Nice-to-haves

Robotics, hardware, or another company where infrastructure includes machines in the field
Experience as a first platform or first security lead at a growing company
Experience building a small, senior team rather than a large one

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gomachine learningai

Platform: lever
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

401(K)

Pto

Paid Time Off