Applied AI Engineer, Go-to-Market
Machine Learning EngineerData
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Quick Summary
Key Responsibilities
pipeline, conversion, and seller time. You've architected and shipped a real system end to end, whether product, internal tooling, or infrastructure, and can explain the design choices behind it.
Requirements Summary
sit with account executives, joi
Technical Tools
Machine Learning EngineerData
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 Go-to-Market, you'll build the operating system for how Tutor finds, wins, and grows customers across the physical economy. 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 configuring someone else's.
This is a technical role where you write and own software, and you'll embed as a true member of our go-to-market team, owning outcomes for that team through technology. You'll sit in the GTM room alongside our account executives, sales enablement, and demand generation, and you'll treat go-to-market as part of the wider Tutor system: our robots, deployments, data, and the AI that runs them. Most of your work will be self-directed: start from a goal, and build the system that fits around it.
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 go-to-market.
You'll start by taking over and extending go-to-market 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.
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.
Location & Eligibility
Where is the job
Watertown, United States
On-site at the office
Who can apply
US
About this job
- Pay per year
- $130,000–$250,000 a year
- 10% below the $210,000 median for Machine Learning Engineer jobs on Jobera (948 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- November 2, 2026
- First seen
- November 2, 2026
- Last seen
- November 2, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- November 2, 2026
Signal breakdown
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