Senior Program Manager, Mapping Operations

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 SWOps Mapping team owns the quality, accuracy, and operational health of the maps that power Nuro’s autonomous vehicles. Our work sits at the intersection of autonomy software and real-world deployment, and it directly shapes how safely and reliably our vehicles move through the world.

We are a technically rigorous, collaborative team that turns complex operational signals into clear systems. We work closely with autonomy engineering, tooling partners, product, and operations to catch quality issues early, improve map production, and help Nuro deploy with confidence.

Day to day, this can look like:

Improving the map production system so it is faster, cleaner, and more scalable

Turning quality or throughput questions into clear plans with owners and timelines

Auditing labeling patterns, finding root causes, and redesigning workflows

Driving real commitments from tool owners, partner teams, and vendors

If you are energized by complex systems, cross-functional influence, and work that connects directly to safe autonomous driving, we would love to meet you.

About the Role

This is an opportunity to own work that genuinely matters to Nuro’s ability to scale. You will lead the strategic health of mapping operations end to end: how work flows, how quality is defined, how teams collaborate, and how our tools and processes evolve.

Nuro is growing quickly, and mapping operations need to grow with it. You will look across the full system, decide what needs to be built, improved, simplified, or retired, and drive the changes that move us forward. That will require clear judgment, strong stakeholder management, comfort with ambiguity, and the ability to stay steady when priorities shift.

We are looking for someone who is AI-native: someone who reaches for AI as a practical tool for investigation, analysis, drafting, automation, and systems improvement, and helps the broader team understand what strong AI-enabled operations can look like.

Depending on team needs and your experience, this role may include managing operations PMs or labeling specialists. Strong individual contributors are equally welcome. What matters most is systems thinking, backbone, clear communication, and genuine care for getting the work right.

About the Work

Own and evolve the system

Own the strategic health of mapping operations end to end, from intake to quality standards to what “done” means

Identify the next operational unlock across workflow, tooling, partner coordination, policy, data, or emerging needs

Partner with engineering and tooling teams to build scalable infrastructure for mapping operations

Turn ambiguous problems into clear plans with milestones, owners, risks, and success criteria

Lead across teams with clarity and trust

Drive alignment across engineering, product, operations, tooling partners, and vendors through clear analysis and recommendations

Hold partners accountable to commitments while preserving strong working relationships

Represent Mapping Operations in senior leadership conversations as both a safety and business signal

Help the team stay focused and effective as priorities shift

Build with AI at the core

Use AI to accelerate investigation, analysis, documentation, automation, and workflow improvement

Identify where AI can reduce manual work, improve diagnostics, or unlock new operating models

Partner with engineering and tooling teams to embed AI into core mapping operations systems

Model responsible, effective AI use and help the team build confidence with it

Set and raise the quality bar

Evolve labeling policy frameworks, taxonomy governance, and review methods that scale

Surface quality gaps early and build feedback loops that prevent repeat issues

Connect field data and autonomy feedback back into labeling policy, workflow design, and quality review

Use metrics and qualitative signals to improve quality, consistency, and throughput

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