Senior Program Manager, Perception Data Operations
$132k - $198kFull-time
Nuro
Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About The Team The Perception ML Operations team sits at the center of how Nuro's vehicles learn to see. We are responsible for the training and evaluation data that powers perception models across every sensor modality: vision, lidar, radar, and beyond. We work alongside ML engineers, product owners, data engineers, and external labeling partners to turn ambiguous, fast-moving requirements into data deliverables the Perception team can build on with confidence. This is a team that operates at the intersection of ML urgency and operational discipline. Here is what the work actually looks like day-to-day:
- Sitting in a roadmap review, hearing a new feature requirement land, and walking out with a concrete data collection and labeling plan already scoped against timeline and budget.
- Reviewing vendor throughput against milestone dates and catching a capacity gap before it would become a release risk.
- Querying pipeline data directly to understand where quality is slipping, rather than waiting for a ticket or ML engineer to surface the problem.
- Being the person Perception Engineering calls when they need to know whether a data deliverable is real, on time, and within budget, and making sure the team you manage translates that bar into terms vendors can execute against without ambiguity.
- Synthesize company-wide perception feature needs into detailed, actionable data deliverables covering vision, LiDAR, and additional sensor modalities.
- Own the end-to-end labeling process, from data availability through an outcome Perception can train on, directing data annotation partners to execute against that bar.
- Manage vendor allocation and budgeting in direct alignment with Nuro's milestone and release timelines.
- Oversee large-scale vendor and managed service provider relationships against quality, latency, and volume targets, and hold them accountable when performance drifts.
- Define and maintain clear, current tracking of outcomes, risk, and data quality so that status is never a surprise to engineering or leadership.
- Own quality as an outcome, not just a status: define what "good" looks like for deliverables within your pipelines, and hold vendors to that bar before problems surface downstream.
- In response to quality dips, identify whether the issue is an isolated labeling error or a broader process failure, and address the root cause rather than just the single error.
- Translate high-level product roadmaps and engineering requirements into granular operational execution plans, with resource allocation and throughput modeled explicitly.
- Query databases directly using SQL (Python a plus) to analyze throughput and quality metrics and generate reporting without waiting on engineering support.
- 5+ years of experience in Technical Program Management or Operations Strategy, managing complex, cross-functional programs within technology, autonomous driving, or AI/ML.
- Demonstrated ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans, including managing resource allocation and throughput for large-scale workflows.
- Experience overseeing large-scale vendor operations or managed service providers, specifically against quality, latency, and volume targets.
- Proficiency with SQL to query databases, analyze throughput metrics, and generate reports independently.
- A track record of holding vendors accountable to a quality bar you've defined yourself, not just monitoring metrics someone else set.
- Background in autonomous vehicles, robotics, computer vision, or ML model training.
- Prior experience in ML engineering, data engineering, or technical consulting.
- Demonstrated track record of improving data quality or throughput at scale, with metrics to show for it.
- Familiarity with autonomous vehicle sensor modalities (LiDAR, Radar, Camera, Thermal) and their respective data annotation requirements.
- Bachelor's degree in a technical or business discipline, or equivalent practical experience.
Vacancy posted 5 days ago
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