
Technical Product Manager at Tutor Intelligence (Watertown, MA)
Tutor Intelligence· Watertown, MA· $90k–$120k·
Role details
Job description
The Company
Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally intelligent robots will be built in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an MIT-founded AI software company that deploys its inventions directly into the facilities that need them, every role at Tutor has a direct impact on the global, physical economy.
Role summary
We’re looking for an ambitious, externally-facing generalist to help drive commercialization on our flagship product — Cassie. Technical aptitude prefered. In this role, you’ll be responsible for the business growth of the Cassie product lines and will be leading high-leverage threads that shape the company's future: identifying adjacent markets to expand into, developing partnerships, collaborating with financing sources, and helping leadership turn loose ideas into executable opportunities. This is a creative, fast-paced role heavy on communication, persuasion, and structured problem-solving. You’ll spend most of your time talking to external stakeholders, crafting narratives, selling possibilities, writing a massive volume of clear communication, and keeping complex exploratory threads on track. Not a process role, not an internal analyst role — this is closer to venture creation inside a robotics company.
Responsibilities:
- Own the product roadmap and communicate the sequence of markets we will expand into over time.
- Do technical solutioning (mostly hardware reasoning but sometimes software reasoning) and sales as needed -- reason through technical customer requirements and thinking through high-level engineering ways to solve them or work around them.
- Own the financial fundamentals of the product line (P&L, unit economics, margins, etc.)
- Coordinate with customers, partners, investors, vendors, and domain experts to move conversations and projects forward.
- Gather technical input from engineering teams and translate it into clear external communication and realistic opportunity framing.
- Maintain momentum across multiple threads through structured communication, scheduling, and consistent follow-through.
- Produce a high volume of clear written communication, including emails, briefs, one-pagers, and meeting recaps.
- Identify creative angles and approaches to advance new product concepts, partnerships, or commercial opportunities.
- Support leadership on high-impact special projects that span commercial, product, and strategic domains.
Requirements:
- Math, physics, engineering degree
- 1–4 years in a fast-paced environment (consulting, VC, IB, startup, strategy, technical, or similar).
- Technical background: engineering degree/minor or technical coursework preferred, not required.
- Strong client-facing instincts: able to sell, persuade, negotiate, and build relationships with external stakeholders.
- Exceptionally organized, capable of managing many concurrent threads without losing track.
- Excellent written communication: concise, precise, high-volume email and message writing.
- Creative and entrepreneurial mindset; ability to ideate, frame opportunities, and navigate ambiguity.
- High ownership and reliability; comfortable taking vague ideas and structuring them into concrete next steps.
Why work at Tutor Intelligence
- Culture: Fast-paced startup with deep roots in MIT CSAIL research – a blend of cutting-edge AI/robotics and real-world industrial impact.
- Work model: On-site in Watertown, MA (employees work from physical offices). Offices also in India, Canada, Portugal, South Africa.
- Growth: 278% YoY headcount growth, 38 open roles across engineering, research, sales, and operations – strong upward mobility.
- Roles: Robotics engineers, perception engineers, full-stack developers, research scientists, field technicians, account executives, and more.
- Perks: Not explicitly listed, but emphasis on 24/7 remote support, always-on AI improvements, and no contract lock-in suggests a team that values reliability and customer success.
- Engineering culture: Focus on solving hardest problems in machine intelligence; teams work at the edge of AI, robotics, and operations.