Technical Program Manager, Learning Innovation

Job Summary: Technical Program Manager, Learning Innovation at NVIDIA

NVIDIA is seeking a strategic operator to product and program manage the development of an innovative agentic, personalized, socratic learning solution. This role involves partnering across various teams to drive data ingestion, agent roadmap development, model evaluation, and ecosystem integration. You will ensure the solution is enterprise-ready for external deployment by collaborating with Legal, SecOps, engineering, and external partners. Additionally, you will work with internal teams to deliver measurable learner impact globally and establish feedback mechanisms for continuous improvement.

What You'll Be Doing

• Lead end-to-end program management for AI agents, from concept through deployment.
• Own data preparation, ingestion pipelines, and readiness for model training and evaluation.
• Define agent functionality roadmap in partnership with engineering and business leaders.
• Design and operationalize structured feedback loops to support model evaluation, retraining, and agent optimization.
• Integrate internally developed agents into the broader agentic ecosystem.
• Drive cross-functional alignment with Legal, SecOps, and partner teams to ensure scalability, security, and compliance.
• Coordinate execution across training team to ensure agent effectiveness and learner impact.
• Establish measurable success metrics for agent performance, adoption, and learning outcomes.
• Communicate clearly with senior leaders on progress, tradeoffs, and decisions.

What We Need To See

• BS/BA degree or equivalent experience.
• 12+ years of experience in technical program management, product operations, or platform delivery within a technology environment.
• Experience leading AI/ML-adjacent programs, data pipelines, or agent-based systems.
• Solid grasp of data workflows, model evaluation processes, and improvements guided by user responses.
• Proven track record to lead complex, cross-functional initiatives across engineering, legal, security, and business teams.
• Excellent communication, stakeholder management, and execution skills.
• Strong analytical and problem-solving skills with a bias for action.

Ways To Stand Out From The Crowd

• Experience scaling agentic AI solutions or agent-based systems within training teams of large enterprises.
• Hands-on experience with model feedback loops, evaluation frameworks, or AI lifecycle management.
• Strong understanding of enterprise security, compliance, and deployment readiness.
• Track record of delivering AI solutions with measurable learner impact.

Key skills/competency

• Technical Program Management
• AI Agent Development
• Data Pipelines
• Machine Learning Operations
• Cross-functional Leadership
• Stakeholder Management
• Product Operations
• Security & Compliance
• Learning Innovation
• Performance Metrics