Applied AI Engineer, Finance

Tutor Intelligence • Watertown, MA

6d

About The Position

Tutor Intelligence is a robotics research and deployment company building robot hardware and artificial intelligence. Founded at MIT and headquartered in Watertown, Massachusetts, it designs and manufactures robots, trains its own models, works with customers, and maintains a fleet across the United States. The company has a team of more than 160 people.

As Tutor’s first Applied AI Engineer dedicated to Finance, you will build and steward the software systems and workflows that support financial planning and forecasting, billing, the close, and leadership and board reporting. You will write and own software, embed as a member of the finance team, and take responsibility for outcomes through technology. The work is part of Tutor’s forward-deployed AI engineering team, whose engineers are embedded across business functions. You will initially take over and extend existing finance tools, then improve them as the business grows in scale and complexity. Tutor’s usage-based robot-labor pricing makes billing, revenue, and unit economics dependent on actual robot activity.

Requirements

• Architected and shipped a real system end to end, such as a product, internal tooling, data system, or infrastructure, and can explain its design choices.
• Can write working software using technologies such as Python, SQL, APIs, and data pipelines.
• Builds with LLMs and AI coding tools regularly.
• Has a technical background with experience or strengths in another area, such as finance, economics, operations, strategy, or founding a company.
• Demonstrated passion for, interest in, or experience with finance, and a fundamental understanding of how a company’s finances work.
• Builds checks, attends to edge cases, and expects numbers to be explainable.
• Learns quickly, takes on ambiguous problems with little direction, and wants to make an impact.
• Wants to be embedded in a business function; this is not a product engineering or research role.

Nice To Haves

• Experience with usage-based or subscription billing systems.
• Familiarity with a modern accounting and spend stack and BI tools.
• Technical program management experience, especially in FinOps or fintech; product management experience; or experience as a founder or first-of-function hire.
• Experience with hardware unit economics, equipment financing, or other capital-intensive businesses.

Responsibilities

• Architect and build finance systems, including FP&A and forecasting tools integrated with existing systems, live dashboards, and analytics.
• Automate close processes with software and AI agents, including reconciliations, accounts payable and receivable, spend review, and variance explanations.
• Own the usage-to-invoice pipeline and ensure billing reconciles with actual robot activity.
• Build a financial data layer joining accounting, spend, CRM, billing, and robot operations data.
• Model pricing and deal economics, fleet and financing scenarios, and the annual operating plan in code.
• Take over, extend, and maintain existing finance tools as the team and business scale.
• Build controls, checks, and audit trails to support reliable numbers for auditors, lenders, and investors.

Benefits

• Fully employer-covered health insurance.
• Managed 401(k).
• Unlimited PTO and all federal holidays off for full-time salaried employees.
• For hourly employees, 16 or more days of accrued paid time off and 1.5x pay on federal holidays.
• Regular in-office meals and team social events throughout the year.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed