Mapping Operations Lead

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 engineering teams for resolution
• 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

Requirements

• 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 (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 (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
• Excellent written and verbal communication; able to translate technical issues clearly for both specialists and cross-functional partners
• Organized, calm under pressure, and energized by the pace of production operations

Nice to Have

• Experience with LiDAR point clouds and camera-based feature extraction
• Experience with standard definition (SD) street network data
• Background in AV safety operations or working alongside safety drivers
• Familiarity with JIRA or similar tools for tracking production backlogs and Slack for real time communication
• Prior experience defining or improving QA/QC standards in a mapping team
• Confident working across time zones

Compensation

• Base salary: $115,000 - $222,000 USD annually
• Equity, comprehensive health/dental/vision/life/disability insurance, 401k with employer match, learning/wellness stipends, paid time off