Business Development Manager, Global Public Sector

Responsibilities

• Lead the worldwide public sector go-to-market strategy and business plan in partnership with regional Sales and Marketing to drive shared success.
• Develop and execute country level sovereign AI strategies, ensuring alignment with data residency and security requirements while accelerating NVIDIA platform adoption during model building and application development.
• Promote end-to-end AI lifecycle capabilities, from data curation to training, fine-tuning, inference, and deployment, with emphasis on NeMo, Nemotron, TensorRT, and related infrastructure.
• Translate compliance, governance, and privacy needs into deployable NVIDIA based AI architectures to drive public sector adoption.
• Build Light House Accounts by identifying partners and government agencies at the forefront of AI initiatives.
• Track and advance engagements to grow GPU adoption and expand customers' wallet share in the NVIDIA platform.
• Collaborate via conferencing tools; travel is required up to 20% of the time.

Requirements

• Bachelor’s degree or equivalent from a leading university.
• Master’s degree or MBA is desirable.
• 5+ years of business development experience in hi-tech selling technology solutions.
• Solid understanding of AI and the AI ecosystem with a goal to deepen expertise.
• Strong analytical skills for conducting market assessments.
• Excellent written and spoken communication in Spanish and English.
• Proven ability to understand and articulate key product features, messaging, and positioning.
• Experience enabling local AI ecosystems—developers, startups, academia, and the public sector—through AI tooling and infrastructure.

Technologies

• NeMo
• Nemotron
• TensorRT
• CUDA
• NIMs

Benefits

• Equity

Ways to Stand Out

• Deep knowledge of the NVIDIA AI stack (NeMo, Nemotron, CUDA, TensorRT, NIMs) across training and inference stages.
• Proven experience building or scaling national AI initiatives.
• Strong understanding of AI model lifecycle economics, including GPU utilization, training versus inference cost tradeoffs, and optimization strategies.
• Knowledge of Generative AI with a solid grasp of government operations and the local AI landscape in the target market.
• Track record of presenting advanced technical content while clearly communicating the value and ROI of AI investments.