Senior Sales Account Manager, Government and Smart Spaces UAE

About the role

NVIDIA is looking for a UAE Regional Senior Sales Account Manager to lead strategic relationships with cities, public‑sector organisations and smart‑space operators, positioning NVIDIA’s AI platforms as the engine for modernising public services.

Key responsibilities

• Promote revenue development for NVIDIA’s Smart Cities, Smart Spaces and Local Government solutions.
• Build and manage a robust pipeline of AI‑driven projects across mobility, urban planning, sustainability, energy efficiency, public safety and citizen services.
• Develop long‑term relationships with senior city leaders, CIOs, CTOs, ministers and public‑sector agencies to position NVIDIA as a trusted AI transformation partner.
• Lead initiatives such as digital twins for city planning, VLM‑powered video analytics, agentic AI for public‑service automation and sovereign AI strategies for local governments.
• Collaborate with NVIDIA technology partners to identify joint technical and business opportunities.
• Influence industry standards, policy and governance models for responsible AI adoption in the EMEA public‑service market.
• Drive talent development and capacity building, helping cities create innovation hubs and AI skill programs.

Required profile

• BSc in Business, Engineering, Computer Science or related field; MBA a plus.
• 10+ years of proven experience in public‑sector transformation, AI platforms and cloud/edge solutions.
• Hands‑on experience with public‑sector entities such as local governments, city councils, ministries or smart‑city authorities.
• Working knowledge of public procurement mechanisms in at least two regional markets.
• Excellent communication and executive‑presence skills, able to present sophisticated AI concepts to technical and non‑technical audiences.
• Proficiency in English and Arabic and/or Turkish; additional languages (Polish, Nordic) are a plus.

Required skills

• AI platforms and responsible AI frameworks.
• Cloud and edge computing technologies.
• Digital twin development and deployment.
• Video analytics (VLM) and computer vision.
• Robotics and autonomous systems.
• Data centre and sovereign cloud infrastructure.
• Power management, siting and phased build‑out for large‑scale deployments.