Lead Technical Program Manager, AI PlatformPosted today$176K–$265K

The opportunity

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…

What you'll do

  • 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.

What they're looking for

  • 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.
  • + years of experience in technical program management, software engineering,: systems engineering, or a related technical discipline, including substantial ownership of complex programs spanning multiple teams.
  • + years of direct people-management experience, with demonstrated success: developing TPMs or engineers and addressing performance gaps.
  • Strong technical depth in at least one relevant area, such as distributed: systems, embedded software, ML infrastructure, data platforms, or robotics, with the ability to learn unfamiliar systems quickly and reason across their interfaces.