Mapping Operations Lead

Job description

Job responsibilities

• Lead a team of mapping specialists, setting priorities, managing workloads, and maintaining a clear production schedule across concurrent map build and update cycles
• Own the weekly and sprint-level production calendar — balancing incoming requests for mapping new areas, improving map quality, and supporting field tests
• Run daily standups and triage sessions; escalate blockers quickly and make real-time prioritization decisions based on operational impact to keep the pipeline moving
• Mentor specialists, conduct technical reviews of their work, and establish standards for map labeling, QC, acceptance criteria, and documentation
• Serve as the primary escalation point for map data issues flagged during map production, validation, or by downstream consumers, including initial triage, creating actionable followup tasks, and routing to maps and…
• Build and maintain a triage playbook so the team can classify and resolve common issues consistently and quickly
• Coordinate with engineers to validate HD map accuracy in simulation environments and close gaps before map releases
• Close the loop with operations and safety teams so field feedback quickly improves map coverage and quality

Job requirements

• Bachelor's Degree or higher in a relevant field
• 3+ years of experience in HD map production, geospatial data operations, or a closely related field in autonomous vehicles, robotics, or mobility
• Demonstrated experience leading or coordinating a team of technical contributors — you don't need a formal management title, but you know how to organize people around a shared workflow
• Strong understanding of HD map data formats (e.g., OpenDRIVE, NDS, or proprietary lane-level map schemas) and annotation pipelines to label map elements
• Experience working with point cloud data, 3D visualization environments, or lidar-based annotation tools
• Familiarity with simulation environments (e.g., CARLA, LGSVL, or internal sim stacks) and how map data feeds into sim validation
• Experience analyzing field reports or sensor data to identify map quality issues
• Comfort with data tooling — SQL, C++, Python, QGIS, or similar — for pulling reports, querying map data, and building dashboards. AI skills a strong plus.