<div class="content-intro">Carbon Robotics is the leader in physical AI for agriculture, helping farmers become more profitable and sustainable. Its flagship product, the LaserWeeder™, is the world’s leading commercial laser weeding system with hundreds of units operated by farmers in 15 countries worldwide. LaserWeeder combines computer vision, AI, robotics, and high-powered lasers to identify weeds and destroy them with sub-millimeter precision—no herbicides, hand labor, or soil disturbance required. Growers achieve weed control cost reductions of up to 80% and crop yield increases of 5–50%, with payback in one to three years. The system is powered by Carbon AI’s Large Plant Model (LPM), trained on 150 million labeled plants, and can start weeding any crop or field in minutes. The company's second product is Carbon Autonomy, the most dependable tractor autonomy solution. Carbon Autonomy includes a retrofit tractor autonomy kit for John Deere tractors, autonomy software, and remote supervision for real-time interventions if required. Carbon Robotics is based in Seattle, Washington State, USA and has raised $185 million in capital since 2018 from leading investors including NVIDIA’s NVentures and BOND. <a href="https://www.youtube.com/@CarbonRoboticsLaserWeeding">YouTube</a> | <a href="https://x.com/carbon_robotics">X</a> | <a href="https://www.instagram.com/carbon_robotics/">Instagram</a> | <a href="https://www.linkedin.com/company/carbonrobotics/">LinkedIn</a> | <a href="https://carbonrobotics.com/news">News</a></div>Carbon Robotics is deploying autonomy in real world agricultural environments. As autonomy scales, so does the need for a high-performance operational backbone to monitor, intervene and continuously improve these systems in the field. The Sr. Manager of Autonomous Support Operations owns the strategy and execution of remote operations: from staffing models and intervention protocols to performance optimization and global scaling. You will define how humans and machines work together in real time. What you’ll do: <ul> <li>Scale Remote Operations Centers to support global, autonomous fleet growth without operational bottlenecks. You will define location strategies, redundancy models, and multi-timezone coverage while continuously improving core center infrastructure.</li> <li>Design and refine human-in-the-loop workflows, establishing intervention thresholds and decision frameworks. You will optimize these setups to drive a measurable reduction in intervention rates while maintaining strict safety and uptime compliance.</li> <li>Own international hiring, onboarding, and training for remote fleet operators. You will build seasonal scheduling systems aligned with fleet demand and establish performance pathways that yield high team retention and clear accountability.</li> <li>Establish and track core operational KPIs like intervention rates, response times, and operator utilization. You will build data dashboards to eliminate bottlenecks and steadily improve machine-to-operator efficiency ratios over time.</li> <li>Partner closely with Engineering, Product, and Field Ops teams. You will establish a tight data feedback loop, translating insights into product roadmaps that systematically reduce human intervention over time.</li> <li>Author standard operating procedures for monitoring, intervention, and escalation. You will collaborate with internal technical teams to build remote operations tools and drive automation that reduces manual operator load.</li> </ul> Knowledge, Skills and Abilities for Success: <ul

Sr. Manager, Autonomous Support Operations

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