Tutor Intelligence
Technology
RoboticsForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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.
Diagnose issues; Resolve issues; Root-cause analysis
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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