Robotics Site Lead

Robotics Site Lead is responsible for the planning overall execution and long‑term success of a new robotics data collection facility. This includes managing daily operations, leading a team of technical specialists and data associates, ensuring the quality and integrity of all data generated by the robotic systems, and serving as the primary on‑site liaison for engineering and product teams. The ideal candidate is a hands‑on leader with strong organizational, technical and people management skills. Responsibilities Operational Leadership: Manage the day‑to‑day operations of the data factory site ensuring continuous high‑volume data collection from a fleet of robots and / or robotic systems. Team Management: Recruit, onboard, train, evaluate and mentor a team of Data Collection Specialists and all supporting staff (technicians, supervisors, program managers). Schedule shift coverage and manage staffing to ensure the facility is fully operational at all times. Data Pipeline & Quality: Oversee the end‑to‑end data collection lifecycle including task definition, sequencing and execution. Implement strict quality checks to ensure data integrity and usability for Machine Learning (ML) and engineering teams. Robot Fleet Management: Ensure all on‑site robotic hardware, sensors and peripherals are fully functional, calibrated and maintained. Guide a team of technicians in troubleshooting and resolving complex hardware or software issues as the first point of escalation. Process Optimization: Proactively identify and implement continuous process improvements, automation opportunities and workflow efficiencies to enhance data throughput, quality and operational safety (Kaizen 6S methodologies). Stakeholder Communication: Act as the primary technical liaison between the on‑site operations team and remote Engineering, ML, Product and executive teams. Report on site performance issues, data metrics and improvement opportunities. Project Execution: Drive and track site‑specific goals and key results (OKRs). Plan and execute new data collection campaigns, experiments and product validation testing as directed by cross‑functional partners. Safety & Compliance: Foster a culture of safety and ensure strict adherence to all site safety protocols, operational procedures and data governance standards. Qualifications Education: Bachelors degree in Engineering (Industrial Engineering, Robotics, Electrical, Mechanical), Computer Science, Data Science or a related technical field. Experience: 8 years of experience in a high‑volume manufacturing operations or technical laboratory environment with a minimum of 2 years in a lead or supervisory role managing a team of technical staff and/or production associates. Technical & Leadership Skills: Demonstrated ability to lead, motivate and develop large‑scale high‑performing teams, including managed contractors. Hands‑on experience in: Leading operations programs, optimizing processes, driving efficiency, productivity and quality outcomes. Basic knowledge of robotics systems (e.g., industrial / collaborative robots, AMRs, robot operating systems like ROS). Exceptional organizational and problem‑solving skills with a high level of dependability and initiative. Excellent written and verbal communication skills in Spanish and English for the management of both technical and non‑technical stakeholders. Nice to Have Previous experience in leading an entire operation / program in manufacturing, product assembly or warehouse logistics. Experience with Machine Learning (ML) or Data Annotation workflows and an understanding of the requirements for high‑quality training datasets. Proficiency in at least one scripting language (e.g., Python) for automation, data parsing and formatting. Policy Note Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us At Scale our mission is to develop reliable AI systems for the world’s most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world’s leading models and help enterprises and governments build, deploy and oversee AI applications that deliver real impact. We work closely with industry leaders such as Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. 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