Senior Manager, Product - Perception Data
$272,000–$431,250 year
On-siteSanta Clara, California, United States
Job Summary
Develop a deep understanding of how training data impacts perception model performance across tasks including 3D object detection, lane/road structure recognition, traffic sign and traffic light detection, and semantic segmentation. Partner with perception researchers to translate model capability gaps into concrete data requirements and own annotation ontology design, defining labeling taxonomies, attribute schemas, and edge case handling rules. Anticipate how changes in data density and label complexity affect throughput, providing data-backed forecasts to stakeholders. Collaborate with global engineering and labeling teams to ensure data quality and explore how DNN/LLM/VLM improves labeling performance. This role sits at the intersection of perception research, data engineering, and labeling operations, driving end-to-end delivery across vendors and internal teams. Fluent in Mandarin Chinese is a strong plus.
Required Qualifications
- BS degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
- 8+ years of product management experience
- at least 2+ years in a role directly involving ML/AI model development, data pipelines, or training data strategy
- Genuine understanding of perception model fundamentals
- Strong cross-functional communication skills
- 3+ years of experience leading or mentoring a team of product managers, tech leads, or equivalent
Desired Qualifications
- Fluent in Mandarin Chinese
- Direct experience in autonomous driving, robotics, or ADAS product development
- Familiarity with 3D reconstruction, SLAM, NeRF, LiDAR point cloud annotation, and multi-sensor fusion
- Exposure to model-in-the-loop, human-in-the-loop, auto labeling, or VLM labeling
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