Sr. Manager, Autonomous Support Operations

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy—all without herbicides. This innovative solution reduces environmental impact, promotes soil health, and helps farmers address labor shortages and rising costs. Designed in Seattle and built at our cutting-edge manufacturing facility in Richland, Washington, the LaserWeeder is setting a new standard for automated weed control. With $157 million in funding from prominent investors such as BOND, NVentures (NVIDIA’s venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is driving innovation. As a no-nonsense team with a bias for action, we take pride in executing our ideas. Whether it’s designing transformative technology or visiting farms to ensure our products are reliable and safe, we do whatever it takes to deliver for our customers. Working here means tackling big problems with big impact. You’ll find opportunities to grow professionally, solve complex challenges, and make meaningful contributions to a mission that matters. At Carbon Robotics, we trust our team to act independently and make practical, real-world decisions. Join us as we innovate, execute, and build the future of farming together. YouTube | X | Instagram | LinkedIn | News 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: ROCC Strategy & Buildout Extend Remote Operations Control Centers (ROCCs) framework to support a growing autonomous fleet to other regions Define location strategy (regional vs centralized), redundancy models, and coverage across time zones Improve upon ROCC infrastructure, tooling, wo rkflows, and staffing methods. Human-in-the-Loop Operations Architecture Architect and continuously refine autonomous operations Define escalation pathways, intervention thresholds, and decision frameworks Optimize for uptime, safety, and operational efficiency as autonomy improves Staffing & Workforce Management Own hiring, onboarding, and training for ROCC operators