> Markdown version of [/jobs/ext/1930305-manager-manipulation-data-farm](https://www.wearedevelopers.com/jobs/ext/1930305-manager-manipulation-data-farm). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Manipulation Data Farm - **Company:** Path Robotics - **Location:** United States - **Contract:** Permanent contract - **Skills:** Decision Support Systems, Machine Learning, Data Analytics - **Published:** August 5, 2026 - **Apply:** https://www.dice.com/job-detail/92d31294-bc20-44d2-9a15-b2a2ced4cfd2 ## About the Role * Proven experience leading operations, production, or technical programs in a fast-paced environment. * Strong people leader with experience coaching, developing, and managing high-performing teams. * Excellent project management skills with the ability to coordinate multiple priorities simultaneously. * Comfortable making data-driven decisions using operational metrics and performance dashboards. * Exceptional problem solver who thrives in ambiguous environments and acts with urgency. * Strong organizational skills with outstanding attention to detail and execution. * Effective cross-functional communicator capable of working closely with engineering, product, and operations teams. * Experience building or improving operational processes, SOPs, and quality systems. * Demonstrated ability to identify operational bottlenecks and implement scalable improvements. * Passion for building efficient systems that enable cutting-edge AI and robotics development. ## Description This role is responsible for transforming data collection into a highly repeatable, measurable operation that enables rapid development of our manipulation AI systems. Our mission is to build and operate a world-class Manipulation Data Farm that delivers high-quality robotics data reliably, efficiently, and at scale. What You'll Do * Own the day-to-day operations of the Manipulation Data Farm, ensuring safe, efficient, and reliable execution of data collection activities. * Lead, coach, and develop a team of approximately 15 Data Collection Operators, creating a high-performance culture centered on accountability, quality, and continuous improvement. * Translate data collection requests into executable operational plans, balancing priorities, staffing, equipment availability, and delivery timelines. * Partner closely with Machine Learning, Robotics, Software, and Product teams to understand data requirements and ensure successful project execution. * Drive operational throughput while maintaining rigorous quality standards and meeting delivery commitments. * Manage scheduling, staffing, equipment utilization, and materials to maximize productivity and minimize downtime. * Monitor system health and operational readiness, proactively identifying and resolving bottlenecks before they impact delivery. * Develop, implement, and monitor key performance indicators (KPIs) including throughput, utilization, quality, cycle time, equipment uptime, and on-time delivery. * Establish scalable quality assurance processes to ensure all datasets meet production standards before delivery. * Own the lifecycle of data collection projects from intake through successful delivery, providing clear communication and status updates to stakeholders. * Drive root cause analysis for operational issues and implement corrective actions to prevent recurrence. * Build and continuously improve standard operating procedures (SOPs), training programs, and documentation to enable scalable growth. * Identify opportunities to automate workflows, improve tooling, and increase operational efficiency through data-driven decision making. * Foster a culture of safety, operational excellence, and continuous learning across the organization., * Daily free lunch to keep you fueled and connected with the team ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Augmented Intelligence for transport planning: Human in the Loop Modelling](https://www.wearedevelopers.com/videos/72-augmented-intelligence-for-transport-planning-human-in-the-loop-modelling) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Robots are coming into the wild! 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