Finance Builder / Engineer

Tutorintelligence
Watertown, MA
On-siteCareer-pivot friendly

Who this role is best for

Geared toward technically proficient candidates comfortable with building financial systems from scratch, with a focus on internal tools and finance domain expertise.

Best fit for

  • Technical generalists with a deep interest in finance and systems automation
    — “You'll build the systems finance runs on, including FP&A and forecasting tools”
  • Candidates with experience in data pipeline and AI agent development
    — “write software (Python, SQL, APIs, data pipelines) and build with LLMs and AI coding tools every day”
  • Individuals who thrive in a fast-growing startup with a mission-driven culture
    — “Our team of 160+ is driven by curiosity and a genuine love of building”

Things to consider

  • This role requires direct, hands-on involvement in financial processes and systems
    — “Automate the close with software and AI agents: reconciliations, AP/AR, spend review, and variance explanations”
  • Candidates must be prepared to build systems from the ground up with minimal direction
    — “Most of your work will be self-directed: start from a goal, and build the system that makes it possible”

How to stand out

  • Highlight experience in end-to-end system design and deployment in your resume
    — “You've architected and shipped a real system end to end”
  • Emphasize your ability to integrate financial and operational data systems
    — “Build the financial data layer that joins accounting, spend, CRM, billing, and robot operations data”
  • Showcase your track record in using AI and LLMs to solve complex business problems
    — “build with LLMs and AI coding tools every day”
  • Demonstrate a clear understanding of financial processes like usage-to-invoice pipelines
    — “Own the usage-to-invoice pipeline, so billing reconciles to what our robots actually did”
  • Position yourself as someone who can deliver precision and audit-ready systems
    — “Build in the controls, checks, and audit trails that let the numbers hold up to auditors”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developed FP&A and forecasting tools
  • automated close processes
  • improved billing reconciliation
Typical background
financeengineeringsoftware development

Skills & requirements

Required

Software DevelopmentFinanceFP&AForecastingAutomationAPI IntegrationDashboard Creation

Preferred

AIRobotics

Stack & domain

FinanceFP&AForecastingSoftware DevelopmentAILeadershipProblem-solvingTeamworkTechnologyRobotics

About the role

Original posting from Tutorintelligence via Lever

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 GTM Builder / Engineer, you'll build the operating system for how Tutor finds, wins, and grows our customer base in the physical economy. 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 GTM team into a leading technology-driven function.

In this role, you'll embed as a member of our go-to-market 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. You'll sit in the GTM room alongside our account executives, sales enablement, and demand generation, and develop the world-class GTM operating system that integrates with the wider Tutor system: our robots, deployments, data, and more.

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 GTM.

You'll start by taking over and extending go-to-market 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.

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.

Compensation

The base salary range for this role is $130,000 to $250,000, depending on experience.

Tutor Intelligence is an equal opportunity employer and welcomes applicants from all backgrounds.

Source: Tutorintelligence careers (Lever)

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