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Senior Manager/Director, Cartography

Zoox

Foster City, CA · HybridJob$242–348K/yrPosted 1w agoStill listed 5 days ago

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At a glance

Compensation
$242–348K/yr
Location
Foster City, CAHybrid
Work Authorization
Not specified

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Job overview

Zoox is seeking a Senior Manager / Director, Cartography to lead the teams that create, maintain, and validate high-definition maps for robotaxi launches and expansion. The role manages in-house and vendor teams and partners with Autonomy, Mapping Software, Safety, and Operations. It owns map production, freshness, quality standards, vendor performance, tooling needs, and a roadmap balancing expansion with quality.

Skills & qualifications

RequiredNice to have

Skills

Cartography, requiredGIS, requiredHD Mapping, requiredGeospatial Analysis, requiredHD Map Content, requiredAnnotation Workflows, requiredLarge-Scale Map Production, requiredMap Maintenance, requiredQuality Assurance, requiredDistributed Team Management, requiredVendor Management, requiredProcess Design, requiredQuality Metrics, requiredOperational Rigor, requiredCross-Functional Leadership, requiredCommunication, requiredStakeholder Presentation, requiredAutonomous Vehicle Mapping, nice to haveRobotics Mapping, nice to haveQGIS, nice to haveArcGIS, nice to haveMap Formats, nice to haveML-Assisted Map Generation, nice to haveAutomated Change Detection, nice to haveAnnotation Automation, nice to haveSafety-Critical Operations, nice to have

Qualifications

8+ Years Geospatial Experience, required3+ Years Managing Teams, required

Full job description

Zoox is building a fully autonomous, purpose-built robotaxi, and high-definition maps are a foundational input to how our vehicles perceive, predict, and plan. As Senior Manager / Director, Cartography, you will lead the organization responsible for creating, maintaining, and validating the HD maps that enable Zoox to launch and scale service across new cities and operational design domains (ODDs). You will manage multiple teams, including in-house cartographers and contractor/vendor mapping teams, and partner closely with Autonomy, Mapping Software, Safety, and Operations to deliver accurate, fresh, and safety-validated maps on schedule.

In this role, you will:

  • Lead and grow multiple cartography teams, including managers, senior cartographers, and contractor/vendor mapping teams.

  • Own HD map creation and annotation for new ODDs, driving throughput, quality, and cost to meet launch timelines.

  • Own map maintenance and change detection processes to keep maps fresh as road networks, construction, and infrastructure change.

  • Define and enforce map QA and validation standards, quality gates, and map release processes in partnership with Safety and Autonomy.

  • Set a unified, prioritized roadmap balancing new-city expansion, map freshness, and quality improvements.

  • Manage vendor relationships, including onboarding, training, capacity planning, SLAs, and quality audits.

  • Partner with Mapping Software and ML teams to define tooling and automation requirements that improve cartographer productivity.

  • Establish metrics and reporting on map quality, coverage, throughput, and turnaround time, and present progress to senior leadership.

Qualifications

  • 8+ years of experience in cartography, GIS, HD mapping, or a related geospatial field, including 3+ years managing managers and/or multiple teams.

  • Deep understanding of HD map content (lane geometry, topology, traffic controls, semantics) and annotation workflows.

  • Experience running large-scale map production, maintenance, and QA programs.

  • Proven experience managing distributed teams, including contractors or external vendors.

  • Track record of defining process, quality metrics, and operational rigor at scale.

  • Strong cross-functional leadership and communication skills, including presenting to senior stakeholders.

Bonus Qualifications

  • HD mapping experience in autonomous vehicles or robotics.

  • Hands-on experience with GIS/geospatial tooling (e.g., QGIS, ArcGIS) and map formats.

  • Experience with ML-assisted map generation, automated change detection, or annotation automation.

  • Background working in a safety-critical environment.

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