Senior Program Manager, Perception Data Operations

Responsibilities

• Translate company-wide perception feature requirements into detailed data deliverables across vision, LiDAR, and other sensor modalities.
• Own the end-to-end labeling process, from data availability through training-ready outcomes.
• Direct data annotation partners and oversee vendor and managed service provider performance against quality, latency, and volume targets.
• Manage vendor allocation and budgets in alignment with milestone and release timelines.
• Define and maintain tracking for outcomes, risks, throughput, and data quality.
• Establish quality standards for deliverables and hold vendors accountable to them.
• Diagnose isolated labeling errors versus systemic process failures and address root causes.
• Translate product roadmaps and engineering requirements into operational execution plans with explicit resource and throughput models.
• Query databases using SQL to analyze throughput and quality metrics and generate reports independently.

Requirements

• 5+ years of experience in technical program management or operations strategy within technology, autonomous driving, or AI/ML.
• Experience translating product roadmaps and engineering requirements into detailed operational execution plans.
• Experience managing resource allocation and throughput for large-scale workflows.
• Experience overseeing large-scale vendor operations or managed service providers against quality, latency, and volume targets.
• Proficiency with SQL for querying databases, analyzing throughput metrics, and generating reports.
• Demonstrated ability to define quality standards and hold vendors accountable to them.

Nice-to-haves

• Background in autonomous vehicles, robotics, computer vision, or machine-learning model training.
• Experience in ML engineering, data engineering, or technical consulting.
• Track record of improving data quality or throughput at scale with measurable results.
• Familiarity with LiDAR, radar, camera, and thermal sensor modalities and their data annotation requirements.
• Bachelor's degree in a technical or business discipline, or equivalent practical experience.

Compensation

• Base pay range: $132,000-$198,000 annually.
• Eligible for an annual performance bonus, equity, and competitive benefits.