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.

Requirements

Experience in Technical Program Management or Operations Strategy: 5+ years of experience managing complex, cross-functional programs within the 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: Demonstrated 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Technical Program ManagementOperations Strategymachine learning development lifecycleLiDARRadarCameraThermalSQLPythonPandas

Soft Skills

collaborationbudget managementrisk managementdata quality assurancestrategic planningresource allocationtransparencyaccountability