Senior Program Manager, Perception Data Operations

Nuro · Mountain View, California (HQ)senior

In short

▸Gestiona la operación de datos para modelos de percepción autónoma en vehículos.
▸Diariamente traduces requerimientos técnicos en planes de recolección y etiquetado con presupuesto y plazos claros.
▸Eres el punto de contacto clave que asegura que los datos entregados sean reales, a tiempo y de calidad, previniendo riesgos de seguridad.

Fluency in English required

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What they ask for

✓Experiencia manejando equipos y entregas de datos para modelos de IA en entornos de alto volumen.
✓Habilidades avanzadas en análisis de datos y toma de decisiones basadas en métricas del pipeline.
✓Capacidad para traducir visiones técnicas en planes de negocio ejecutables.
✓Experiencia trabajando con proveedores externos de etiquetado de datos.
✓Comunicación clara y capacidad para influir sin autoridad sobre equipos de ingeniería y producto.
✓Enfoque orientado a resultados, con visión proactiva sobre riesgos operativos y de calidad.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

ML OpsPerception modelsVisionLidarRadarData collectionData labelingVendor managementBudget trackingTimeline management

Who should you write to at Nuro?

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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. If that sounds like the kind of ownership that energizes you, we would love to talk. About the Role This is a role built for someone who wants to own outcomes, not just track them. You will translate company-wide perception feature requirements into concrete data deliverables, manage vendor allocation and budget against Nuro's milestone and release timelines, and keep a clear, defensible view of outcomes, risk, and data quality across the pipelines you own — distinguishing a one-off labeling error from a systemic labeling process problem, and closing the gap either way. The work connects directly to Nuro's mission. Perception models are only as good as the data behind them, and every gap in coverage, every misallocated vendor hour, and every quality blind spot eventually shows up in how the vehicle sees the world. You are the person who catches that upstream, before it becomes an engineering fire drill or a safety question. You'll partner closely with ML engineering leadership, product owners, and vendor operations, with the access and visibility to make real calls on scope, budget, and quality tradeoffs. What we ask in return is rigor, clear communication, and genuine ownership of the outcome. About the Work Translate Requirements into Deliverables • Synthesize company-wide perception feature needs into detailed, actionable data deliverables covering vision, LiDAR, an

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