Workplace Manager
Owns end-to-end workplace strategy, operations, and events across SF, Montreal, and Hub locations. Leads a team, manages budgets, vendors, and service standards to deliver exceptional in-office experiences.
Operations Lead - Perception Data Labeling
Leads operations for perception data labeling, managing data collection, vendor allocation, budgeting, and quality tracking for AI perception models in autonomous vehicles. Requires 5+ years in technical program management or operations in AI/ML or autonomous driving, with sensor domain knowledge and data literacy using SQL/Python.
163k – 223kBoston, MAOtherHybrid5+ YOE
About the role
Responsibilities
- Translate and coalesce company-wide feature requirements into concrete and comprehensive data deliverables.
- Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox’s AI perception stack.
- Manage vendor allocation and budgeting in conjunction with the milestone and release timelines at Zoox.
- Define and maintain clear tracking of outcomes, risk, and data quality to ensure transparency and accountability.
Qualifications
- Experience: 5+ years in Technical Program Management or Operations Strategy, managing complex, cross-functional programs in technology, autonomous driving, or AI/ML sectors.
- Perception & Sensor Domain Knowledge: Strong understanding of the machine learning development lifecycle (MLDL) and familiarity with autonomous vehicle sensor modalities (LiDAR, Radar, Camera, Thermal) and their respective data annotation requirements.
- Strategic Capacity Planning: Ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans; experience managing resource allocation and throughput for large-scale workflows.
- Vendor Ecosystem Understanding: Experience overseeing large-scale vendor operations or managed service providers, specifically regarding quality, latency, and volume targets.
- Data Literacy: Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate reports without needing engineering support.
Skills
SQLPythonpandasLidarRadarCameraThermalMachine LearningData AnnotationAutonomous Driving
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