Carbon Robotics
Robotics · Laser-weeding farm robots
Robotics · Laser-weeding farm robots
Carbon Robotics currently has 5 active AI-related job listings. The hiring is concentrated in the application and data stages, each representing 40% of the open roles. Engineering is the primary function for these positions. The company is frequently seeking candidates with experience in evals, model serving, and inference infrastructure.
Currently tracking 3 active AI roles, down 25% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $72k–$225k (avg $156k).
Carbon Robotics currently has 5 active AI-related roles in our index. The most common open titles are: Deep Learning Engineer , Deep Learning Quality Specialist, Performance Quality Technician, Sr. Software Engineer, Embedded Systems Controls, Sr. Software Engineer, Robot Systems. Most positions are in Engineering.
Carbon Robotics's active AI hiring is concentrated in: application (40%), data (40%), agents (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Carbon Robotics most frequently mention: Robotics, Machine Learning, Content Generation, Computer Vision, Data Labeling.
In the past 30 days, Carbon Robotics has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Technical Customer Success Manager, Spain The Technical Customer Success Manager at Carbon Robotics is responsible for ensuring customer success with the LaserWeeder™ robotic system, which uses computer vision and AI/deep learning for weed control. This role involves field support, training, preventative maintenance, repairs, and acting as a liaison between customers and engineering/product teams. The position also includes collecting data to assist with model labeling. | — | 5 |
| Sales Development Representative Sales Development Representative for Carbon Robotics, a company that uses AI/ML, computer vision, robotics, and lasers to create an automated weed control solution for farming. The role focuses on generating qualified sales pipeline by setting meetings with target contacts through multi-touch communication sequences. Requires strong outbound calling, email composition, active listening, consultative selling skills, and collaboration with sales and marketing teams. The candidate must be data-driven, self-managed, and knowledgeable about the product and industry challenges. | — | 5 |
| Technical Customer Success Manager, France This role is a Technical Customer Success Manager for an agricultural robotics company that uses AI/deep learning and computer vision. The role focuses on customer implementation, maintenance, and support of the LaserWeeder™ equipment, acting as a liaison between customers and engineering/product teams. While the company's product heavily utilizes AI, this specific role is customer-facing and does not involve building or directly working with AI models. | — | 5 |
| Field Marketing and Sales Support Specialist This role supports field marketing and sales growth by generating leads, engaging customers, and executing marketing activities. It involves market research, campaign support, event participation, and direct sales prospecting to build the sales pipeline and contribute to brand awareness. The role requires strong communication, CRM experience, and the ability to work independently and travel extensively. | — | 0 |
| Sales Operations Analyst Sales Operations Analyst role at an Ag-Tech company that uses AI/ML in its product. The role focuses on CRM ownership, sales dashboards, pipeline analysis, and process improvement. It is not an AI/ML building role. | — | 0 |