Senior Product Manager, Mapping

Nuro Nuro · Robotics · CA · Product Management, Software

Product Manager to own the data infrastructure and labeling systems that power Nuro's autonomous vehicle development. Focus on data quality, building systems and workflows for ML and Behavior teams, shipping dashboards, defining labeling standards, and scaling infrastructure. Responsibilities include optimizing data collection, scaling infrastructure for a large fleet, raising labeling quality, and owning the labeling tooling roadmap.

What you'd actually do

  1. Ship dashboards that reconcile mileage across sources, show collection coverage, and let ML and Behavior teams see what data exists and what's missing.
  2. Define requirements for smarter data collection routing to improve targeting efficiency—fewer miles driven, higher-value data captured.
  3. Develop tooling to support 150+ vehicles operating across multiple cities.
  4. Own labeling specs approval, define pass/fail quality thresholds, and design a vendor audit framework that gives us quantified confidence in output.
  5. Prioritize engineering investment in labeling infrastructure and identify cost reduction opportunities (pre-labeling, smarter task routing, reducing redundant QA).

Skills

Required

  • 5+ years of product management experience
  • experience with data platforms
  • experience with ML infrastructure
  • experience with operations tooling
  • experience with vendor management
  • SQL
  • building visibility into data pipelines

Nice to have

  • exposure to data platforms
  • exposure to ML infrastructure
  • exposure to operations tooling
  • exposure to vendor management

What the JD emphasized

  • Data quality is one of the most critical inputs to our ML and Behavior teams
  • shipping dashboards that eliminate manual reconciliation
  • defining labeling standards that prevent costly rework
  • creating infrastructure that scales as our fleet grows
  • Own labeling specs approval, define pass/fail quality thresholds, and design a vendor audit framework

Other signals

  • Data quality is one of the most critical inputs to our ML and Behavior teams
  • shipping dashboards that eliminate manual reconciliation
  • defining labeling standards that prevent costly rework
  • creating infrastructure that scales as our fleet grows
  • Own labeling specs approval, define pass/fail quality thresholds, and design a vendor audit framework