Technical Program Manager - Data Operations Lead
@ ZooxTechnical Program Manager - Data Operations Lead
This job is still taking applications, but it's been up a while.
About the job
Zoox develops autonomous vehicle technology, focusing on perception data labeling. The Operations Lead manages data collection, vendor relations, and ensures high-quality training data for ML models, collaborating with AI and engineering teams.
Requirements
- 5+ years managing complex programs
- Knowledge of perception and sensor data
- Experience with vendor management
- Data analysis skills in SQL or Python
- Operational workflow planning
Qualifications
- Experience in Tech Program Management
- Understanding of ML development lifecycle
- Familiarity with autonomous sensors
- Ability to translate roadmaps into plans
- Strong communication skills
Full job description
In this role, you will:
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 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.
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