The AI cloud company deepens its regional push, with the Dubai-based hire leading go-to-market strategy across enterprises, governments, and research institutes.
Nebius, the AI cloud company listed on Nasdaq, has appointed Raja Agrawal as Vice President for the Middle East and Africa, deepening its commitment to one of the world’s fastest-growing AI and cloud markets. Based in Dubai, Agrawal leads the company’s go-to-market strategy for the region, expanding customer adoption across enterprises, governments, research institutes and the public sector.
Agrawal brings more than two decades of experience at the intersection of enterprises and cloud, with expertise spanning AI, cloud, data and enterprise platforms. His career includes senior leadership roles at SAP, Microsoft, and BrowserStack, where he built and led high-performing teams serving strategic customers, established long-term partnerships, and delivered complex, multi-stakeholder programmes from strategy through execution.
Raja Agrawal, VP for the Middle East and Africa at Nebius, said: “This region’s commitment to AI and digital infrastructure remains both strategic and necessary.”
Nebius is focused on building trusted, long-term partnerships and helping organisations run AI workloads with the performance, resilience, reliability and economics they demand. I’m honoured to take on this role and excited to work alongside customers, partners and leaders across the region to support meaningful and sustainable progress.”
Nebius is establishing a local team in the region as part of its global expansion, with an initial focus on go-to-market functions. The first hires are already in place, laying the foundation for further growth and customer engagement.
One of the world’s largest independent AI cloud players, Nebius is growing its global infrastructure footprint, with AI factories across the US and EMEA region, supported by a strong balance sheet and financial position. Designed for AI from the ground up, the company delivers a full stack of hardware and software built to run large-scale AI workloads, from model training to inference.
Source: Tahawul Tech