---
title: 'Head of Marketing at Tutor Intelligence'
canonical: 'https://feeny.ai/job/head-of-marketing-tutor-intelligence-watertown-m2g1va8aywz2'
type: 'job'
last_seen: '2026-09-16'
---

# Head of Marketing at Tutor Intelligence

- **Company:** Tutor Intelligence
- **Location:** Watertown, MA
- **Compensation:** $180k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-08
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.lever.co/tutorintelligence/25cb9789-9f57-40e5-a7e3-d6b0890e5011

## Job description

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 frontier lab that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code or piece of copy written at Tutor has a direct impact on the global, physical economy.

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 a focus on collaboration and respect.

## The Role

We're hiring Tutor's first Head of Marketing: the leader who will define our category, own our narrative, and build the marketing engine and organization for an AI robotics company with robots working in production today.

Tutor is in a rare position. We're an AI robotics lab with a deployed, revenue-generating fleet and a loyal customer base — very early to a category most companies are still demoing. We have two distinct motions to power: a high-velocity mid-market business selling to manufacturers and co-packers, and a growing enterprise business built on seven-figure programs with major logistics and consumer brands. Marketing today is early and largely embedded in Sales; your mandate is to turn it into a strategic function that compounds — process-, technology-, and numbers-driven rather than powered by individual heroics.

You'll report directly to the CEO, sit on the leadership team, and own the full stack: category and brand, product marketing, demand generation, events, and PR/communications. You'll inherit and grow a small team into a large organization building and executing a new playbook for general proliferation of AI robotics.

This is a player-coach role. We're looking for a builder who still makes things, not an operator who needs a large org and agency bench to function. And we're an AI company: we expect you to build an AI-native marketing organization where an elite team produces at unusual scale.

## Responsibilities

Strategy & Ownership of the Number

- Define Tutor's marketing strategy across both motions and own marketing's contribution to revenue: pipeline sourced and influenced, measured honestly.
- Establish the measurement and attribution discipline to know what's working — across trade shows, campaigns, content, and PR — and reallocate accordingly.
- Operate as a full member of the leadership team in tight partnership with the Head of Sales on a shared pipeline.

Category & Brand

- Own Tutor's narrative and positioning: cement our position in public and industry awareness and lay claim to the category while our timing advantage lasts.
- Build a quarterly event/PR drumbeat, anchored by a flagship annual Tutor event serving press, enterprise relationship-building, and pipeline.
- Systematize founder-led thought leadership and decide how our research and product milestones get told to press, analysts, and the community.
- Bring coherence to our brand and product architecture as the product line expands.

Product Marketing

- Oversee messaging, customer proof, and sales enablement across product lines and buyer types
- Ensure every deployment turns into marketing assets: case studies by default, quantified ROI stories, and vertical collateral in daily use by the sales team.

Demand Generation

- Build the vertical demand engine for the mid-market motion: vertical landing pages, content, nurture, and inbound that make our core products progressively lower-friction to sell.
- Stand up account-based marketing for the enterprise motion with Sales: target-account strategy, executive-level content and programs, and air cover for our largest pursuits.

## Team & AI-Native Operations

- Recruit and lead a small, exceptional team amplified by AI agents — collateral production, research, and campaign operations largely run on pipelines the team designs.
- Own the marketing budget and vendor/agency relationships, with a bias toward building capability in-house.

## Qualifications

- 10+ years in B2B marketing with experience scaling a marketing function 1→N at a startup (0→1 experience a strong plus) — you've built the machine, not just run one.
- Experience bringing a novel product category to market, creating demand rather than competing for existing search volume in a crowded space.
- Full-stack marketer with a strong product marketing core and real depth in demand generation, events, and PR/brand/category communications.
- Experience across both mid-market velocity and high-touch, high-value enterprise motions.
- Experience marketing to non-technical operational buyers (plant, operations, and supply chain leadership).
- A track record of tight, trusted partnership with sales leadership on a shared pipeline number.
- AI-native: software-capable or deeply curious, already using AI as leverage in your work, and excited to build a marketing org around it.
- High-agency, creative, and spiky — strong opinions, distinctive work, and a bias to ship.
- Based in / willing to relocate to the Boston area — this role is in person at our Watertown HQ; travel up to ~20% (customer sites, trade shows), though likely less.

You're probably not a fit if your playbook is primarily paid-channel demand gen, if you're a brand leader who doesn't own pipeline, or if you've only operated inside large marketing organizations with big teams and agency support.

## Preferred Experience

- Supply chain (manufacturing, logistics), industrial automation, or robotics — warehouse automation or supply chain services likely the best fit.
- Marketing capital equipment, hardware, or other considered physical-product purchases.
- Building or scaling flagship owned events and executive/community programs.

## 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

- [Robotics Maintenance & Field Service Technician II / III - North West](https://feeny.ai/job/robotics-maintenance-field-service-technician-ii-iii-north-west-tutor-bmz8d0rf7m19) — Portland, OR
- [Robotics Maintenance and Field Services Technician II/III - Mid Atlantic](https://feeny.ai/job/robotics-maintenance-and-field-services-technician-ii-iii-mid-atlantic-tutor-tg201b86y341) — Philadelphia, PA
- [Robotics Maintenance & Field Service Technician II / III - South East](https://feeny.ai/job/robotics-maintenance-field-service-technician-ii-iii-south-east-tutor-pvpvc5apcwp3) — Atlanta, GA
- [VR Robot Operator and Support Technician](https://feeny.ai/job/vr-robot-operator-and-support-technician-tutor-intelligence-watertown-n2sk0xqcmxr2) — Watertown, MA
- [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 Design & DFX](https://feeny.ai/job/production-engineer-electrical-design-dfx-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