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Salary
$130k – $250k per year
Location
In office (Watertown)
Visa
H-1B filings in 12 months: 3
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Tutor Intelligence scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Tutor Intelligence is an industrial AI and robotics software company that builds AI robotics systems and deploys them in facilities. It was spun out of the MIT Computer Science and Artificial Intelligence Laboratory in 2021 and hires computer vision, electrical, mechanical and test engineers. The company is headquartered in Watertown, Massachusetts, United States.

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

As our first Finance Builder / Engineer, you'll build the operating system for how Tutor runs its finances. You'll write software to unlock potential that was not previously accessible, by building whole workflows, tools, integrations, and agents from scratch, to build Tutor's Finance team into a leading technology-driven function. The work will touch support planning and forecasting, billing, the close, and the numbers that leadership runs the company on.

In this role, you'll embed as a member of our finance team, and own outcomes for the team through technology. You'll study existing processes, identify bottlenecks and opportunities for growth through technology, ideate the right systems and solutions, and write, own, and sustain their implementation in software, with full visibility into what finance does across the business.

Most of your work will be self-directed: start from a goal, and build the system that makes it possible.

You'll join our internal systems team: a strategic team of engineers already embedded across deployment, manufacturing, maintenance, and hardware and software engineering, building products, solutions, and systems that let each function run smoothly and ambitiously, with the leverage for scale. You'll be the first builder dedicated to finance.

You'll start by taking over and extending finance tools we've already built. From there you'll steward the entire domain as the business grows, using the tools alongside the team and improving them to handle more scale and complexity.

What you'll work on

  • Architect and build the systems finance runs on, including FP&A and forecasting tools integrated with our existing systems, with live dashboards and analytics in place of spreadsheets.
  • Automate the close with software and AI agents: reconciliations, AP/AR, spend review, and variance explanations.
  • Own the usage-to-invoice pipeline, so billing reconciles to what our robots actually did.
  • Build the financial data layer that joins accounting, spend, CRM, billing, and robot operations data.
  • Model the business in code: pricing and deal economics, fleet and financing scenarios, and the annual operating plan.
  • Take over and extend the tools we already have, and keep them working as the team and the business scale.
  • Build in the controls, checks, and audit trails that let the numbers hold up to auditors, lenders, and investors.

What we're looking for

  • You've architected and shipped a real system end to end, whether product, internal tooling, data, or infrastructure, and can explain the design choices behind it.
  • You write working software (Python, SQL, APIs, data pipelines) and build with LLMs and AI coding tools every day.
  • A technical background with a spike somewhere else: finance, economics, operations, strategy, or founding something. Your path probably hasn't been linear.
  • Demonstrated passion for, interest in, or experience with finance, and a fundamental understanding of how a company's finances work. You don't need to have held a finance title.
  • Precision: you build checks, sweat edge cases, and hate a number you can't explain.
  • High slope: you learn fast, take on ambiguous problems with little direction, and want to make a mark.
  • You want to be embedded in a business function. This is not a product engineering or research role.

Nice to haves

  • Usage-based or subscription billing systems.
  • A modern accounting and spend stack, and BI tools.
  • Technical program management (especially FinOps or fintech), product management, or a past founder or first-of-function role.
  • Hardware unit economics, equipment financing, or other capital-intensive businesses.
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