Lead Technical Program Manager (AI Platform)

Join Nuro, a leading autonomous delivery service, as a Lead Technical Program Manager for our AI Platform organization. In this role, you will lead a team of Technical Program Managers, drive critical programs, shape priorities and execution plans, resolve technical and organizational blockers, and improve organizational execution. You will have the opportunity to make a significant impact on the development and deployment of autonomous systems.

• Lead and develop the Technical Program Management (TPM) team, setting clear expectations for technical depth, ownership, and execution.
• Drive critical programs directly, personally leading selected programs that require substantial technical judgment or coordination across teams.
• Shape priorities and execution plans by partnering with engineering and product leaders to connect platform roadmaps to autonomy development and deployment goals.

• 8+ 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
• A track record of delivering ambiguous technical programs from initial definition through integration, release, and operational adoption
• 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
• 2+ years of direct people-management experience, with demonstrated success developing TPMs or engineers and addressing performance gaps
• Ability to influence teams without direct authority, resolve disagreements, and communicate technical issues, risks, and decisions clearly to engineers, executives, and external partners
• Sound judgment about when to investigate personally, when to delegate, and how much process a program needs
• Strong analytical and problem-solving skills: able to distinguish symptoms from root causes, test assumptions, and use evidence to guide prioritization and trade-offs
• A degree in computer science, engineering, or a related technical field, or equivalent practical experience