The 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.
You will:
- 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 the 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.
Ideally you'd have:
- Education: Bachelor's 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 haves:
- Previous experience in leading an entire operation/program in manufacturing, product assembly, or warehouse logistics.
- Experience with Machine Learning (ML) or Data Annotation workflows, understanding the requirements for high-quality training datasets.
- Proficiency in at least one scripting language (e.g., Python) for automation, data parsing, and formatting.