Senior Product Manager, Data

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role
We're looking for a Product Manager to own the data infrastructure and labeling systems that power our autonomous vehicle development. Data quality is one of the most critical inputs to our ML and Behavior teams, and this role will build the systems and workflows that give those teams confidence in the data they depend on—shipping dashboards that eliminate manual reconciliation, defining labeling standards that prevent costly rework, and creating infrastructure that scales as our fleet grows. This is a high-ownership role where you'll work across Engineering, Operations, ML, and external vendors to turn processes into reliable, measurable systems.

About the Work

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

About You

• You take ownership of messy problems. You're energized, not discouraged, by ambiguity. You'll inherit fragmented processes and incomplete systems—and you'll build structure where none exists.
• You ship. You bias toward action and delivering working solutions over perfect plans. You know when "good enough now" beats "great later."
• You're deeply analytical. You're comfortable digging into data pipelines, writing SQL, and building your own visibility when dashboards don't exist yet.
• You operate at both altitude and ground level. You can define a long-term infrastructure vision and also roll up your sleeves to document acceptance criteria or audit vendor output.
• You communicate crisply across technical and non-technical audiences. You'll work daily with engineers, ML researchers, operations teams, and external vendors—and need to translate between all of them.
• You hold systems accountable. You don't just launch processes; you measure them, find where they break, and fix them.
• You have 2–5+ years of product management experience, ideally with exposure to data platforms, ML infrastructure, operations tooling, or vendor management.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.