Applied AI Engineer, Finance
Builds the software and AI agents behind Tutor's finance function — FP&A and forecasting tools, usage-to-invoice billing tied to robot operations, close automation, and the financial data layer. First AI engineer dedicated to finance at a robotics company; core stack is Python, SQL, APIs, data pipelines, and LLMs.
- Compensation
- $130K–$250K / yr
- Location
- Watertown, MA
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Architected and shipped a real system end to end (product, internal tooling, data, or infrastructure) and can explain the design choices
- Writes working software (Python, SQL, APIs, data pipelines) and builds with LLMs and AI coding tools daily
- Technical background with a spike in finance, economics, operations, strategy, or founding something
- Demonstrated passion for, interest in, or experience with finance, and a fundamental understanding of how a company's finances work
- Precision: builds checks, sweats edge cases, and hates a number that can't be explained
- High slope: learns fast, takes on ambiguous problems with little direction
- Wants to be embedded in a business function (not a product engineering or research role)
Nice to have
- Usage-based or subscription billing systems experience
- Familiarity with a modern accounting and spend stack, and BI tools
- Technical program management (especially FinOps or fintech), product management, past founder, or first-of-function role
- Experience with hardware unit economics, equipment financing, or other capital-intensive businesses
Full 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.
The Role
As our first Applied AI Engineer on Finance, you'll build the operating system for how Tutor runs its finances: planning and forecasting, billing, the close, and the numbers leadership and the board run the company on. You'll design the process flows and change the shape of the work, and you'll do it by writing a lot of software: building whole workflows, tools, and AI agents from scratch rather than living in spreadsheets.
This is a technical role where you write and own software, and you'll embed as a true member of our finance team, owning outcomes for that team through technology. You'll have full visibility into what finance does across the business, and you'll treat finance as part of the wider Tutor system: our robots, deployments, customers, and data. Tutor sells robot labor with usage-based pricing, so billing, revenue, and unit economics all depend on what the robots actually do.
You'll join our forward-deployed AI engineering team: a strategic team of engineers already embedded across deployment, manufacturing, maintenance, and hardware and software engineering, using AI to change how each of those functions works. You'll be its first engineer dedicated to finance.
You'll start by taking over and extending finance tools we've already built. From there you'll steward the area as the business grows, using the tools alongside the team and improving them to handle more scale and complexity.