Operations Lead - Perception Data Labeling

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.