Nuro · Infrastructure · Lead / Manager · Posted 2026-09-24
Lead Technical Program Manager, AI Platform
Nuro · Mountain View, California (HQ) · $176k–265k base
This range's midpoint is above 52% of posted infrastructure ranges at AI companies right now. See the salary index.
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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 Role
We’re looking for a technically strong, hands-on Manager of Technical Program Management to lead the TPM team supporting Nuro’s AI Platform organization. AI Platform builds the offboard and onboard system that accelerate autonomy development and enable reliable deployment. Its work spans the data flywheel for developing AI systems—from data collection and data mining through training, simulation, and evaluation—as well as onboard firmware, middleware and services, cloud services, and fleet operations tooling.
You will develop a team of TPMs and drive complex programs across engineering, product, operations, and external partners. This role combines people leadership with direct ownership of critical programs: understanding the underlying technical problems, shaping clear plans, resolving dependencies, and driving decisions through implementation. Success means faster development, more reliable systems, and readiness to deploy across vehicle platforms and commercial programs.
About the Work
Lead and develop the TPM team. Set clear expectations for technical depth, ownership, and execution. Coach TPMs, manage performance and career development, hire strong talent, and align team assignments with the highest-priority needs.
Drive critical programs directly. Personally lead selected programs that require substantial technical judgment or coordination across teams. Turn ambiguous goals into defined scope, milestones, accountable owners, and measurable outcomes.
Shape priorities and execution plans . Partner with engineering and product leaders to connect platform roadmaps to autonomy development and deployment goals. Surface resource constraints, sequence dependencies, and resolve trade-offs across near-term commitments and longer-term platform investments.
Resolve technical and organizational blockers. Engage in design reviews, integration planning, and issue investigations to understand root causes, challenge assumptions, and drive decisions. Bring the right experts together and ensure decisions translate into completed work.
Drive integration and deployment readiness. Coordinate requirements, interfaces, testing, release gates, rollout plans, and operational readiness across onboard software, offboard services, and partner systems. Ensure gaps have clear owners and closure criteria.
Manage execution with external partners. Align vehicle manufacturers, technology suppliers, and commercial partners on deliverables, responsibilities, acceptance criteria, and schedules. Resolve dependencies jointly with engineering, product, business, and legal teams.
Improve how the organization executes. Establish practical planning and review processes that make risks and decisions visible. Use metrics to identify bottlenecks and improve reliability, development speed, and operational efficiency. Apply AI tools and automation to reduce repetitive coordination and reporting work.
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