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Tutor Intelligence is seeking a Technical Customer Engineer to own a portfolio of customer sites end-to-end, serving as the primary technical partner for each deployment. You will build deep trust with customers' operations, engineering, and maintenance teams while being accountable for the operational and technical success of those deployments.
Key responsibilities include developing deep working knowledge of robot systems—software, hardware, and operational characteristics—sufficient to diagnose issues credibly and partner with engineering on resolution. You will diagnose and resolve operational and technical issues in customers' real-world environments, working through software configuration, mechanical adjustments, process changes, and root-cause analysis. You'll partner with the engineering team to execute technical improvements that benefit customers, bringing context, prioritization, and field validation rather than writing code yourself.
You will track the health and performance of your assigned fleet—uptime, reliability, throughput, customer satisfaction—and proactively act on signals. You'll translate field reality into product insights for engineering and product teams, serving as the voice of customers in internal roadmap conversations. Additionally, you'll partner with Account Executives on expansion conversations where customer success creates natural opportunities for growth.
This role requires meaningful time on-site at customer facilities. You'll work in real-world operational environments, combining hands-on work with both software and physical systems.
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:
- 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
