--- title: 'Senior Technical Program Manager at Tutor Intelligence' canonical: 'https://feeny.ai/job/senior-technical-program-manager-tutor-intelligence-watertown-t2swmzs4h0ge' type: 'job' last_seen: '2026-09-09' --- # Senior Technical Program Manager at Tutor Intelligence - **Company:** Tutor Intelligence - **Location:** Watertown, MA - **Compensation:** $180–$220 - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-09 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.lever.co/tutorintelligence/e346bab3-42e0-478c-8ec5-55bbb40eefbc ## Job description The Company We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop. As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. Our Culture We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect. ## 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 are 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. ## About Tutor Intelligence ## Company Overview - **One-liner**: Tutor Intelligence builds AI-powered robot workers for manufacturing and logistics, deploying intelligent physical automation that adapts to dynamic industrial environments. - **Entity Type**: Private (Series A, total funding $78.7M) - **Headquarters**: Watertown, Massachusetts, USA - **Founded**: 2021 (earliest corporate round) - **Founders**: Josh Gruenstein (CEO) and Alon Kosowsky-Sachs (Co-Founder) ## Core Business - Primary industry/industries: Robotics, Artificial Intelligence, Industrial Automation, Logistics & Warehousing - Target customers: B2B – manufacturing plants, warehouses, 3PLs, and large-scale industrial operations (Enterprise) - Mission or purpose statement: "To build fundamental AI technology to enable generally capable robot workers and partner with industry to deploy them" – solving the hardest problems in physical machine intelligence. ## Products & Services - **[Cassie](https://tutorintelligence.com/)**: A purpose-built robot for material handling – palletizing, depalletizing, and case picking. Deployed in days, handles unlimited SKUs, works 24/7 with a simple tablet interface. Pricing starts at $14/hour per robot or per-pick models. - **[Sonny](https://tutorintelligence.com/)**: A humanoid robot designed for the "messy middle" of manual labor – complex assembly, irregular tasks. Industrial-grade hardware, trained on internet-scale data. Available for deployment starting late 2026. - **Platform & Fleet Management**: Full B2B logistics workflow automation (replen to picking to palletizing) with per-pick pricing, remote 24/7 support, and continuous AI improvements. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding $78.7M (latest round: $40.5M venture round in June 2025; Series A $34M in December 2025 led by Union Square Ventures and Fundomo) - **Notable Investors/Partners**: Union Square Ventures, Fundomo; partners with world’s largest 3PLs and brands (deployed in dozens of factories and warehouses) - **Growth Signals**: Headcount grew 278.8% YoY to 69 employees (as of early 2026); 38 active job postings; monthly job postings up 40.7%; expanding into humanoid robotics with Sonny; offices across US, India, Canada, Portugal, South Africa. ## Competitive Advantages - **Deployment speed**: Robots are operational "in days" without changes to existing infrastructure – reads pallet specs like human workers. - **Flexible pricing**: Per-hour ($14/hr) or per-pick models with no contract lock-in, lowering cost of fulfillment by 20%+. - **AI-first approach**: Robots learn from human interaction in real environments, continuously improving via an intelligence platform. - **Proven real-world impact**: Already deployed across dozens of facilities for major brands, not just pilots. ## Strategic Focus - Scale deployments of Cassie across more warehouses and factories. - Launch Sonny humanoid robot in late 2026 for complex manual tasks. - Continue advancing physical AI research (founded out of MIT CSAIL) to expand robot capabilities into new industries. - Grow the fleet and per-pick pricing model to capture more of the B2B logistics workflow. ## Why Work Here - **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. ## Sources 1. [tutorintelligence.com](https://tutorintelligence.com/) 2. [tutorintelligence.com/about](https://tutorintelligence.com/about) 3. [LinkedIn Company Page](https://www.linkedin.com/company/tutorintelligence) 4. [Built In Boston – Tutor Intelligence](https://www.builtinboston.com/company/tutor-intelligence) ## Other roles at Tutor Intelligence - [Patent Agent / Patent Engineer (Robotics)](https://feeny.ai/job/patent-agent-patent-engineer-robotics-tutor-intelligence-watertown-v4h2rw0x27y0) — Watertown, MA - [Production Engineer (Electrical Test) — Robotics](https://feeny.ai/job/production-engineer-electrical-test-robotics-tutor-intelligence-watertown-7ay340904fkn) — Watertown, MA - [Mechanical Engineer (Robotics)](https://feeny.ai/job/mechanical-engineer-robotics-tutor-intelligence-watertown-kyckj63m406w) — Watertown, MA - [Product Manager -- Robotics](https://feeny.ai/job/product-manager-robotics-tutor-intelligence-watertown-pmjyz533rp3e) — Watertown, MA - [Technical Product Manager](https://feeny.ai/job/technical-product-manager-tutor-intelligence-watertown-hr52zz5t320g) — Watertown, MA - [Product Manager (Cassie)](https://feeny.ai/job/product-manager-cassie-tutor-intelligence-boston-tfm69b9eeqt4) — Boston, MA - [Strategic Accounts Development Manager](https://feeny.ai/job/strategic-accounts-development-manager-tutor-intelligence-boston-yenk20n7rppq) — Boston, MA - [Robotics Deployment Manager](https://feeny.ai/job/robotics-deployment-manager-tutor-intelligence-watertown-j1rsdaztt5j7) — Watertown, MA - [Robotics Product Marketing Lead](https://feeny.ai/job/robotics-product-marketing-lead-tutor-intelligence-watertown-8k9wwt4s5xz3) — Watertown, MA - [Head of Marketing](https://feeny.ai/job/head-of-marketing-tutor-intelligence-watertown-m2g1va8aywz2) — Watertown, MA