Business Development Manager, Global Public Sector

NVIDIA NVIDIA · Semiconductors · FL +2 · Remote

This Business Development Manager role focuses on driving NVIDIA's platform growth within the public sector of the LATAM region. The role involves executing go-to-market strategies, leading national AI cloud initiatives, aligning on policy and compliance, and fostering local AI ecosystems. While the role promotes AI lifecycle capabilities and translates compliance requirements into AI architectures, its core function is business development and sales, not direct AI/ML model development or research.

What you'd actually do

  1. Drive the execution of the worldwide public sector GTM strategy and business plan in collaboration with regional Sales and Marketing to drive mutual success
  2. Lead country-level strategies for sovereign AI, ensuring alignment with national data residency and security requirements while accelerating adoption of NVIDIA platform throughout model building and application stages.
  3. Promote end-to-end AI lifecycle capabilities (data curation, training, fine-tuning, inference, and deployment) with a strong emphasis on NVIDIA platforms such as NeMo/Nemotron, TensorRT, and infrastructure.
  4. Enable public sector industry adoption by translating compliance, governance, and privacy requirements into deployable NVIDIA-based AI architectures.
  5. Develop Light House Accounts by identifying partners and government agencies that are at the forefront of AI.

Skills

Required

  • 5+ years of business development experience in hi-tech selling technology solutions
  • Confirmed grasp of AI and the AI ecosystem; eager to deepen expertise
  • Strong analytical skills, including the ability to conduct market assessments
  • Excellent written and verbal communication skills in both 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

Nice to have

  • Master’s degree or equivalent experience, MBA is desirable
  • Deep knowledge of AI and NVIDIA AI stack (NeMo, Nemotron, CUDA, TensorRT, NIMs) across both training and inference stages.
  • Proven experience building or scaling national AI initiatives
  • Strong understanding of AI model lifecycle economics, including GPU utilization, training vs. inference cost tradeoffs, and optimization strategies.
  • Knowledge of Generative AI, combined with deep understanding of government operations and local AI landscape in the target market.
  • Proven track record in presenting sophisticated technical content, while clearly communicating the value and return on investment of investments in AI.

What the JD emphasized

  • Spanish and English
  • AI
  • AI ecosystem
  • AI lifecycle
  • training
  • inference
  • deployment
  • AI platforms
  • AI architectures
  • AI initiatives
  • AI model lifecycle economics
  • Generative AI
  • AI landscape