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Engineering Manager, Platform & Infrastructure

Tutor Intelligence · Watertown, MA

Extracted from the posting

Base
$180,000 – $420,000
Remote
On-site
Eng team
Company team of 160+
Stack
Python, Docker, Kubernetes, C++ (company stack)

Leads the team that builds the shared infrastructure AI agents run on: environments, tooling, observability, and context. Accountable for production, CI, and security on the shared layer, and decides what the central team owns versus each team. Senior, hands-on role with organization-wide scope.

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.

The Role

    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.

    Compensation: USD 180,000 – 420,000 per year salary

    Company stack

    This posting doesn’t list technologies. These are the ones Tutor Intelligence uses across its other roles.

    PythonDockerKubernetesC++LinuxROSTypeScriptEtherCAT
    Tutor Intelligence
    Tutor Intelligence

    Job details

    TypeFull-time
    Work ModeOn-site
    LevelLead
    Location🇺🇸Watertown, MA
    Salary$180,000 - $420,000
    PostedNov 06, 2026
    Apply Now

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