---
title: 'Technical Customer Success Manager (Robotics) at Tutor Intelligence'
canonical: 'https://feeny.ai/job/technical-customer-success-manager-robotics-tutor-intelligence-watertown-yexvtp3bh97b'
type: 'job'
last_seen: '2026-09-09'
---

# Technical Customer Success Manager (Robotics) at Tutor Intelligence

- **Company:** Tutor Intelligence
- **Location:** Watertown, MA
- **Compensation:** $80k–$135k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-03-10
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.lever.co/tutorintelligence/18e78a07-7ab8-4b56-836c-6ace23c0ec9a

## 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 and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.

Founded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.

## The Role

We're looking for a technically credible, customer-oriented engineering thinker to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams trust when something matters — and you'll be accountable for the operational and technical success of those deployments over time. This is not a traditional Customer Success role, and it's not a product engineering role either. You won't be writing application code, designing novel robotic applications, or doing core feature development. What you will do is develop deep working knowledge of our systems, diagnose issues across software, mechanical, and process dimensions in your customers' real-world environments, and partner with engineering to execute technical improvements that make your customers successful. The work is genuinely technical — you need to understand how our robots work well enough to be the credible technical voice on the customer side — but the goal is to help customers operationally and technically utilize the product we've built, not to extend it. The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and call you first when they need help. You'll spend meaningful time on-site at your facilities, remote time on technical diagnosis and tuning, and ongoing time partnering with your customers' engineering and operations leaders. Internally, you'll work alongside our engineering, support, and maintenance teams, and your insights from the field will directly shape our product roadmap. This role sits at the intersection of robotics, operations, and customer partnership. The right person is energized by all three.

## Responsibilities

- Own a portfolio of customer sites end-to-end: be the primary technical partner for each, build deep trust with their operations, engineering, and maintenance teams, and be accountable for the operational and technical success of those deployments
- Develop deep working knowledge of our robot systems — software, hardware, and operational characteristics — sufficient to diagnose issues credibly and partner with engineering on resolution
- Diagnose and resolve operational and technical issues in your customers' real-world environments, working through software configuration, mechanical adjustments, process changes, and root-cause analysis
- Partner with our engineering team to execute technical improvements that benefit your customers — bringing context, prioritization, and field validation, rather than writing the code yourself
- Track the health and performance of your assigned fleet — uptime, reliability, throughput, customer satisfaction — and proactively act on signals
- Translate field reality into product insights for our engineering and product teams; be the voice of your customers in our internal roadmap conversations
- Partner with Account Executives on expansion conversations where customer success creates natural opportunities for growth

## Requirements

- 2–5+ years of experience in a technical customer-facing role: applications engineering, field engineering, robotics deployment, solutions engineering, technical account management, or similar
- Technical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology
- Comfort working hands-on with both software and physical systems, especially in real-world operational environments
- Aptitude for developing deep working knowledge of complex technical systems built by others — you don't need to build it from scratch, you need to understand it deeply enough to diagnose, tune, and improve outcomes
- Genuine relationship orientation — you take pride in being trusted by customers over time, not just in delivering projects
- Strong communication skills; able to be technically credible with customer engineering and ops teams, and clear with non-technical operators and leaders
- Willingness to spend meaningful time on-site at customer facilities

Nice to haves (zero or more)

- Direct experience deploying or supporting robotics in production environments
- Background in warehouse, manufacturing, or other industrial operations
- Experience working closely with engineering teams to diagnose and resolve technical issues — bringing field context to engineering decisions
- Deep interest in robotics, automation, or the future of physical AI

## Why This Role Is Unique

- Work at the intersection of cutting-edge robotics and real-world industrial operations, helping bring advanced AI systems into factories and warehouses
- Own the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility
- Join Tutor during a period of rapid growth and expanding deployments, where this function plays a central role in scaling our fleet
- Help build and shape what this function looks like at Tutor, working closely with engineering, product, and operations teams

## 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

- [Senior Technical Program Manager](https://feeny.ai/job/senior-technical-program-manager-tutor-intelligence-watertown-t2swmzs4h0ge) — Watertown, MA
- [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