Tutor Intelligence

Technology

RoboticsForwardDeployedEngineer

$80–160k Watertown, Massachusetts, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Robotics Forward Deployed Engineer at Tutor Intelligence. Skills: Robotics deployment, Customer support, Automation scripting. Own customer sites end-to-end. Be primary technical partner”

What You'll Achieve.

Make sites need you less; Solve hard problems; Drive deeper fixes; Translate field reality into insight

Industry & Context.

Technology
Problems you'll solve

Diagnose issues; Resolve issues; Root-cause analysis

Eligibility Requirements

Roughly 30% travel, Work on factory floors, Work on warehouse floors, Early shifts, Wear PPE, Work in noise, Work in industrial environments

What They're Looking For.

Must Have

3–7+ years technical role, Technical depth in robotics, Technical depth in industrial automation, Technical depth in controls, Technical depth in mechatronics, Technical depth in manufacturing systems, Technical depth in warehouse/logistics technology, Work hands-on with software, Work hands-on with physical systems, Read logs and telemetry, Reason about a system, Write scripts/tooling, Automate a manual process, Thrives in ambiguity, Judgment about what to fix, Judgment about what to automate, Judgment about what to escalate, Genuine relationship orientation, Clear communication, Technically credible with customer teams, Plain-spoken with operators

Nice to Have

Direct experience deploying robotics, Direct experience supporting robotics, Background in warehouse operations, Background in manufacturing operations, Background in industrial operations, Experience bringing field context, Deep interest in robotics, Deep interest in automation, Deep interest in physical AI

What You'll Do.

Own customer sites end-to-end

Be primary technical partner

Build deep trust with teams

Be accountable for success

Automate repetitive work

Convert manual interventions

Develop working knowledge of systems

Resolve ambiguous issues

Partner with engineering

Package high-confidence cases

Bring field validation

Track fleet performance

Act proactively on signals

Be voice of customers

Translate field reality

Partner with Account Executives

Create openings for growth

How You'll Work.

Team & Collaboration

Customer operations teams; Customer engineering teams; Customer maintenance teams; Internal roadmap; Engineering teams

Communication Scope

Technical communication; Plain-spoken communication

Process & Methodology

Playbook development

Full Job Description

## 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 engineer 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 call first when something matters — and you'll be accountable for the operational and technical success of those deployments over time. This isn't a traditional customer success role, and it isn't core product engineering. You won't own the product roadmap or build new robotic capabilities — that's R&D. But you will write code: the scripts, tooling, dashboards, and playbook logic that turn today's manual interventions into things that run themselves. The point of the job is to make your sites need you less over time, and to solve the hard, multi-factor problems that no playbook covers yet. You'll develop deep working knowledge of how our robots actually behave in the real world, diagnose issues across software, mechanical, and process dimensions, and partner with engineering to drive the deeper fixes — bringing the field context, prioritization, and validation that makes those fixes right. The role is also genuinely relationship-driven. The custome

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