---
title: 'People Operations Manager at Tutor Intelligence'
canonical: 'https://feeny.ai/job/people-operations-manager-tutor-intelligence-watertown-k9t9rwe1jx4k'
type: 'job'
last_seen: '2026-11-04'
---

# People Operations Manager at Tutor Intelligence

- **Company:** Tutor Intelligence
- **Location:** Watertown, MA
- **Compensation:** $90k–$120k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-31
- **Last confirmed live:** 2026-11-04
- **Apply:** https://jobs.lever.co/tutorintelligence/2c465cb9-141c-4543-bd9c-18a56c1cf60c

## Job description

## 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.

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.

## Your Responsibilities

The People Operations Manager owns the day-to-day employee experience at Tutor, from the moment someone signs an offer to the day they leave. You’ll run onboarding, 30-60-90 check-ins, employee changes, and offboarding for a 160+ person team spread across six states, and you’ll be the person employees and managers come to when they have a question about how things work here.

If you’ve spent your career at a company where People Ops means processing tickets in a system someone else designed, this is different. We’ve spent the past year building the foundations: onboarding, leveling, values, compensation. What we don’t have yet is someone to run them well, notice where they’re breaking, and make them better. You’ll inherit lean systems and real ownership of them. When onboarding isn’t landing, you fix it. When a manager doesn’t know how to handle a team change, you figure out the answer and then write it down so the next manager doesn’t have to ask.

We’re looking for someone who is organized to the point of being slightly annoying about it, who treats a new hire’s first week as something worth getting right, and who is just as comfortable walking a factory floor in Watertown as they are in a spreadsheet. You care about people as people, not as headcount, and you have the judgment to handle sensitive situations with discretion. You don’t need a decade of HR experience. You need to be the kind of person who sees a gap and closes it.

This role reports to our People Operations Lead and works closely with Recruiting on the handoff into onboarding and with the People Strategy team on comp, promotion, and title changes that come out of the performance cycle.

## What you’ll own

- Onboarding end to end: pre-start logistics, first-week experience, partnership with hiring managers, and the buddy program
- 30-, 60-, and 90-day check-ins with new hires and their managers, and acting on what you hear
- Employee changes: transfers, manager changes, title and comp updates, and keeping our HRIS and directory accurate
- Offboarding, exit interviews, and stay interviews, and turning what you learn into changes we actually make
- Being the first point of contact for employee and manager questions on policies, process, and "how do I…"
- Maintaining and improving the People Ops playbooks so the team can run without heroics
- Partnering with our Compliance & Benefits Administrator on leave, accommodations, and benefits questions that come up through the lifecycle

## Who You Are

- 3+ years in People Operations, HR generalist, or a similar operations role at a fast-growing company
- You’ve run onboarding and offboarding yourself, not just supported someone who did
- Comfortable working in an HRIS and keeping employee data accurate across systems (we use Rippling)
- Strong written communication. Much of this job is explaining things clearly to people who are busy
- High discretion and sound judgment with confidential information and sensitive employee situations
- Not afraid to step foot in a factory or a warehouse. Our team includes technicians, assemblers, and field staff, and their experience matters as much as anyone’s
- Based in or willing to relocate to the Boston area; this role is in-office in Watertown, MA

Nice to haves

- Experience at a company that scaled from ~100 to 300+ people
- Experience supporting hourly and salaried populations, or multi-state employees
- You’ve built or rebuilt an onboarding program and can talk about what you changed and why
- Familiarity with leave and accommodations processes, even if you weren’t the owner

## 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)

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