Job Title: Senior Manager, Specialized Sales -International

Location: UAE
Department: Specialized Sales
 

About

Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning itself at the forefront of AI innovation in the Middle East and beyond.

With a diverse team of 1,100+ employees globally from ~70 nationalities, we foster an inclusive, innovative, and collaborative environment. At Core42, we foster a culture grounded in trust, accountability and high performance. We are united by our values: Grit, where we overcome challenges with resilience and determination, Passion, which drives us to pursue excellence in everything we do, and Impact, as we aim to inspire progress and create meaningful change. Our team members thrive in an environment where each person’s contributions propel us forward, and together, we commit to achieving extraordinary results.

About the Role:

We are seeking a results-driven Senior Manager, Specialized Sales -International to spearhead revenue growth for Core42 in key international markets. You will play a pivotal role in expanding our global footprint, measurably boosting revenue, profitability & market share, and delivering best-in-class sales performance through profitable international sales strategies in line with our overall business objectives. You will develop and execute data-driven sales plans, foster long-term partnerships with key public sector and enterprise clients, and strengthen our position as a global leader in generative AI, cybersecurity, and cloud solutions.

Key Responsibilities:

• Develop and execute international sales strategies to drive revenue growth in target markets.
• Identify and secure high-value enterprise and public sector clients undergoing digital transformation.
• Build and nurture C-level relationships, positioning our AI, cloud, and cybersecurity solutions as market-leaders in the industry.
• Lead end-to-end sales cycles, from prospecting to contract negotiation and deal closure.
• Collaborate with product, marketing, and solutions teams to tailor offerings for global markets.
• Monitor market trends, competitor activity, and customer needs to refine sales approaches.
• Achieve and exceed quarterly and annual sales targets while maintaining the highest levels of customer satisfaction.
• Be present at industry events, webinars, and customer briefings to promote solutions and provide competitive market insights to help shape product roadmap and sales strategy.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Business, or a related field; MBA is a plus.
• 10+ years of total experience in B2B enterprise technology sales, particularly in AI/ML, HPC, cloud infrastructure, or data center solutions, with at least 7 years in international markets.
• Deep understanding of AI/ML workload requirements and the supporting compute/storage/networking ecosystem (e.g., NVIDIA GPUs, Kubernetes, TensorFlow/PyTorch).
• Familiarity with hybrid and cloud-native infrastructure (AWS, Azure, GCP) and data lifecycle management tools.
• Financial and business acumen in the international market.
• Experience managing complex sales cycles, navigating enterprise procurement and legal processes.
• Exceptional C-level stakeholder engagement and deal-closing abilities.
• Strong communication and presentation skills with the ability to influence both technical and executive audiences.
• Ability to navigate ambiguity and be hands-on in building solutions from scratch. This includes the ability to work directly with technical teams, manage challenges, and ensure practical, scalable solutions are developed in a fast-paced environment.

Preferred Experience:

• Selling into AI-intensive industries such as finance, healthcare, life sciences, or autonomous systems.
• Knowledge of MLOps tools, data labeling platforms, and model lifecycle management.
• Experience working with large hyperscalers (e.g., AWS, Azure, GCP) and top-tier technology companies is preferable but not essential.
• Technical certifications or hands-on experience with AI or cloud infrastructure technologies.