Data Manager Jobs

About The Position

Requirements

• 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.

Responsibilities

• 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.

Benefits

• Daily free lunch
• Flexible PTO
• Comprehensive medical, dental, and vision coverage
• 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuses