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Technical Customer Success Manager – AI & Enterprise Infrastructure

Unlock employer Saudi Arabia Posted: 24 Jun 2026

Financial

  • Estimate: $90k - $125k*
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

Customers expect great things from both our products and our services. The Technical Customer Success Manager (TCSM) plays a crucial role in managing and overseeing seamless service delivery processes. In this capacity, you will serve as a trusted advisor to the company's strategic AI customers, helping them accelerate AI adoption, maximize business value, and achieve successful outcomes from their investments in AI Factory, AI infrastructure, data platforms, and related technologies. You will also act as the bridge between customers and the company, driving AI strategy alignment and long-term customer success.

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Location
Saudi Arabia

Responsibilities
You will:

  • Build and maintain executive and technical relationships with key customer stakeholders, aligning AI solutions and services to their business, data, and AI transformation objectives.
  • Serve as a trusted advisor by providing guidance on AI infrastructure, AI operations (AIOps), data platforms, machine learning, generative AI, and enterprise AI adoption strategies to help customers achieve measurable business outcomes.
  • Drive customer success through proactive engagement, adoption planning, and value realization reviews.
  • Advocate for customers within the company by coordinating across Sales, Services, Support, Product Management, Engineering, and Partner teams to enhance customer experience.
  • Monitor customer AI environments and operational health to identify risks, improve performance, and deliver proactive recommendations.

Requirements
Essential Requirements:

  • Strong technical expertise in enterprise infrastructure, including AI servers, GPU platforms, storage, networking, virtualization, cloud technologies, and data center architectures supporting AI workloads.
  • Experience with Artificial Intelligence, Machine Learning, Generative AI, Data Platforms, MLOps, AIOps, or AI-enabled business solutions, with the ability to discuss both technical and business value with customers.
  • Excellent communication, presentation, stakeholder management, and consultative engagement skills.
  • Strong analytical and problem-solving capabilities, with experience leveraging operational data, telemetry, performance metrics, and customer insights to drive recommendations.
  • Bachelor’s degree in Information Technology, Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical discipline.

Desirable Requirements:

  • 8–12 years of experience delivering complex enterprise IT, cloud, data, AI, or digital transformation initiatives in customer-facing roles.
  • Industry certifications or hands-on experience in AI, cloud, data, or enterprise infrastructure technologies such as NVIDIA, AI Factory, VMware, Kubernetes, Microsoft Azure AI, or similar platforms.
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