Job description

About Tutor We believe robots will be the next chapter in making physical labor safer and more affordable. But, nearly nine out of ten American factories and warehouses don’t have a single robot. Tutor Intelligence is changing that. We build robots that go straight into real factories and warehouses, to do real work, with real impact. Our robot Cassie does back-breaking work, moving boxes, pallets, and bulk goods for family-owned manufacturers to some of the largest brands in the world. Our robot Sonny does handwork, using two arms to achieve human-like dexterity in picking and packing. Every robot learns on the job, and each one we deploy makes the next one more capable, more affordable, and faster to put to work. Founded at MIT and headquartered in Watertown, MA, we do it all in-house: the robotics hardware, the machine learning, and the field deployment and service. 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 Tutor is hiring a Senior Technical Program Manager to own program management for the Cassie workstream. Cassie is our robot worker for pallets and cases: we have many Cassie robots in production at customer sites today and the next products built on the same platform are in development now. The workstream is about 15-20 engineers across software and hardware. This role will report to an engineering manager. We’re looking for a candidate who has run programs long enough to know which parts of the job are not the interesting part - and has ideas for how to automate it. Chasing status, reconciling three trackers that disagree, tracking dependencies - all need to get done, but ideally not by a person. We’re looking for someone who has watched AI tools get good enough to do some of that grunt work and has a vision for how a program should run with automation, updating as tools increase in efficacy. We want the person who will build that automation while operating the program. Tutor builds robot workers and deploys them directly into the factories and warehouses that need them. The Cassie workstream's output is measured in robots that keep running on a customer's line and in new products that reach production on schedule. That means one team carries a fleet in production and a platform in development at the same time, with software, hardware, manufacturing, deployment, and customer teams all collaborating. This role will own the integrated plan, the operating cadence, the risks, the cross-team dependencies, and the honest weekly picture of where things stand. What you will do Own the integrated plan for the Cassie workstream: milestones, dependencies, and risks across software, hardware, manufacturing, and field deployment, covering both the fleet in production and the products in development. You would work closely with the engineering leaders of the workstream (as well as with all of the individual contributors on the team). Keep one source of truth. Linear, Notion, Slack, and employees’ brains should agree. When they do not, you find out first and fix the process, not just the record. Surface risk early and plainly: slipping dates, unowned work, hidden dependencies, and scope that grew without a decision. Write the status that leadership, engineering, and customer-facing teams read, in the register each needs. Be the person who gets asked "what is actually going on with X" and has the answer. Build and own the automation: agents and scripts that pull status from tickets, pull requests, and chat, draft updates, flag drift, and chase follow-ups, so people spend their time on judgment rather than collection. Build tools which coordinate hardware change orders, manufacturing builds, and software releases so that what reaches a customer site is a matched set. Requirements 8+ years of technical program or project management on teams that ship physical products or complex software, including several years at a senior level. Exacting attention to detail. You catch the inconsistency in the tracker, the date that quietly moved, and the acceptance criterion nobody wrote down. Daily fluency with current AI tools in your own work, and a concrete vision for how program management should be rebuilt around them. Be ready to show us something you built or automated, not just describe it. Enough technical depth to follow engineering discussions on software architecture, hardware design, and manufacturing, and to push back when an estimate or a plan does not hold together. Clear, concise writing and verbal communication. Nice to haves (zero or more) Program management experience at more than one company, including at least one large company and at least one startup. Worked as a software or hardware engineer before moving into program management. Ran programs that span hardware and software with a manufacturing dependency: engineering builds, engineering change orders, field retrofits. Robotics, industrial automation, or industrial equipment background. Wrote the automation yourself: scripts, agents, or integrations against the Linear, Jira, GitHub, or Slack APIs. Comfortable on a factory or warehouse floor, and willing to travel occasionally to customer sites and manufacturing partners. 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.

Requirements

Must-haves

Keep one source of truth. Linear, Notion, Slack, and employees’ brains should agree. When they do not, you find out first and fix the process, not just the record.
Surface risk early and plainly: slipping dates, unowned work, hidden dependencies, and scope that grew without a decision.
Write the status that leadership, engineering, and customer-facing teams read, in the register each needs. Be the person who gets asked "what is actually going on with X" and has the answer.
Build and own the automation: agents and scripts that pull status from tickets, pull requests, and chat, draft updates, flag drift, and chase follow-ups, so people spend their time on judgment rather than collection.
Build tools which coordinate hardware change orders, manufacturing builds, and software releases so that what reaches a customer site is a matched set.
8+ years of technical program or project management on teams that ship physical products or complex software, including several years at a senior level.
Exacting attention to detail. You catch the inconsistency in the tracker, the date that quietly moved, and the acceptance criterion nobody wrote down.
Daily fluency with current AI tools in your own work, and a concrete vision for how program management should be rebuilt around them. Be ready to show us something you built or automated, not just describe it.
Enough technical depth to follow engineering discussions on software architecture, hardware design, and manufacturing, and to push back when an estimate or a plan does not hold together.
Clear, concise writing and verbal communication.
Program management experience at more than one company, including at least one large company and at least one startup.
Worked as a software or hardware engineer before moving into program management.
Ran programs that span hardware and software with a manufacturing dependency: engineering builds, engineering change orders, field retrofits.
Robotics, industrial automation, or industrial equipment background.
Wrote the automation yourself: scripts, agents, or integrations against the Linear, Jira, GitHub, or Slack APIs.
Comfortable on a factory or warehouse floor, and willing to travel occasionally to customer sites and manufacturing partners.

Nice-to-haves

Nice to haves (zero or more)

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Keywords to mirror

gomachine learningaijira

Platform: lever
Effort: quick

Benefits

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Health Insurance

Vision

401(K)

Pto

Paid Time Off