We are looking for an Operations Program Manager - Robotics Data Acquisition to own the day-to-day operating rhythm in our data collection facilities. You will work closely with operators, technicians, program managers, and engineers to keep rigs ready, campaigns moving, issues resolved, and performance improving. This is a hands-on operations role that requires you to be comfortable spending time on the floor, working through ambiguity, and using data to make the operation more reliable and efficient. This role is based in San Francisco, CA and requires in-person presence 5 days a week. In this role you will: - Coordinate daily operations readiness across workstations, operators, materials. - Track core operating metrics including utilization, cycle time, throughput, downtime, operator productivity, and data quality. - Identify bottlenecks through workflow analysis, time studies, and capacity modeling, then drive practical fixes. - Execute the rollout of new hardware, sensors, tools, and process changes with Engineering, Operations, Facilities, Supply Chain, and Safety. - Identify equipment readiness issues and coordinate with technical support to keep workstations, and test equipment calibrated, configured, maintained, and ready for rollouts and evaluations. - Lead root cause analysis for recurring operational issues and follow through on corrective actions. - Provide operation input to create and maintain SOPs, work instructions, training materials, and process controls. - Identify and flag resource constraints and manage issue escalation and resolution. You might thrive in this role if you: - Have a bachelor's degree in Industrial, Mechanical, Manufacturing, or a related technical field. - Bring 3-5 years of hands-on experience in manufacturing, industrial / process engineering, operations, robotics, or production environments. - Have experience using Lean, Six Sigma, time studies, or similar methods to improve processes. - Understand operating KPIs such as cycle time, takt time, throughput, utilization, yield, OEE, and uptime. - Can manage multiple work-streams, coordinate across floor operators and technicians to drive execution with limited supervision. - Have exposure to robotics data acquisition, autonomous vehicle systems, camera / audio systems, automation, or robotics systems. What success looks like: - Daily lab / floor operations run with fewer surprises, clearer priorities, and better readiness. - Throughput improves because bottlenecks are measured, prioritized, and fixed. - Fast execution in ambiguous environments with frequently changing priorities. - New hardware and process changes are rolled out with clear owners and minimal disruption. - Operators have the tools, training, materials, and ergonomics needed to work safely and consistently. - Staffing, equipment, and facility decisions are supported by reliable operational data.