Senior Product Manager, Mapping

Nuro•Mountain View, CA

About The Position

Nuro is seeking a Product Manager to oversee the data infrastructure and labeling systems crucial for autonomous vehicle development. This role is vital for ensuring data quality, which directly impacts the ML and Behavior teams. The Product Manager will be responsible for creating systems and workflows that guarantee data reliability, including developing dashboards for automated reconciliation, establishing clear labeling standards to minimize rework, and building scalable infrastructure to support the growing fleet. This is a high-ownership position requiring collaboration across Engineering, Operations, ML, and external vendors to transform processes into robust and measurable systems.

Requirements

5+ years of product management experience
Exposure to data platforms, ML infrastructure, operations tooling, or vendor management
Ability to take ownership of ambiguous problems and build structure where none exists
Bias toward action and delivering working solutions
Deeply analytical with comfort in data pipelines, SQL, and building visibility tools
Ability to operate at both strategic (long-term vision) and tactical (documenting acceptance criteria, auditing vendor output) levels
Crisp communication skills across technical and non-technical audiences
Ability to hold systems accountable, measure processes, identify failures, and implement fixes

Responsibilities

Build visibility into data by shipping dashboards that reconcile mileage across sources, show collection coverage, and allow ML and Behavior teams to understand data availability and gaps.
Optimize data collection by defining requirements for intelligent data collection routing to enhance targeting efficiency, capturing higher-value data with fewer miles driven.
Scale the infrastructure by developing tooling to support over 150 vehicles operating in multiple cities.
Raise the bar on labeling quality by owning labeling specification approval, defining quality thresholds, and designing a vendor audit framework for quantified confidence in output.
Own the labeling tooling roadmap, prioritizing engineering investment in labeling infrastructure and identifying cost-reduction opportunities such as pre-labeling, smarter task routing, and reducing redundant quality assurance.