Business Development Manager, Global Public Sector
Indexed description
What You'll Be Doing
- Drive the execution of the worldwide public sector GTM strategy and business plan in collaboration with regional Sales and Marketing to drive mutual success
- 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.
- 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.
- Enable public sector industry adoption by translating compliance, governance, and privacy requirements into deployable NVIDIA-based AI architectures.
- Develop Light House Accounts by identifying partners and government agencies that are at the forefront of AI.
- Track and progress the various engagements with a goal to grow GPU adoption and customers’ wallet share in NVIDIA platform.
- We make heavy use of conferencing tools, but some travel is required (20%)
- Bachelor’s degree or equivalent experience or an equivalent level of professional background from a leading University. Master’s degree or equivalent experience, MBA is desirable
- 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
- 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.
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