Sales Engineer - Enterprise AI

Aethir is revolutionizing access to high-performance computing for AI enterprises. We're looking for a talented Sales Engineer to join our dynamic team and support our sales efforts in promoting our industry-leading, decentralized GPU-as-a-service (GPUaaS) platform.About the Role:In this crucial role, you'll bridge the gap between cutting-edge technology and real-world business needs. You'll work alongside our Enterprise AI Sales team to understand customer challenges, showcase the technical capabilities of Aethir's GPUaaS platform, and support the sales cycle to drive successful AI deployments.Responsibilities:Collaborate with Enterprise AI Sales representatives to identify and qualify leads with significant AI workloads.Deepen client understanding of Aethir's GPUaaS solution through technical presentations, demos, and proof-of-concept (POC) development.Translate customer requirements into technical specifications for GPU configurations and compute resources on the Aethir platform.Partner with the sales team to develop compelling proposals that demonstrate the cost-effectiveness and scalability of Aethir's solutions compared to traditional approaches.Work with pre-sales engineers to configure and implement POC environments, showcasing the performance and efficiency of Aethir's platform.Provide ongoing technical support to the sales team throughout the sales cycle, addressing customer inquiries and concerns.Stay up-to-date on the latest advancements in AI, GPU technology, and the evolving Aethir platform features.RequirementsMinimum 3+ years of experience in a technical sales role, preferably within the AI or high-performance computing (HPC) space.Strong understanding of GPU architectures, their capabilities, and their role in accelerating AI workloads, specifically GPUs like A100s and H100s.Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch) is a plus.Excellent communication and presentation skills with the ability to explain complex technical concepts to a non-technical audience.Ability to work effectively in a collaborative environment and build strong relationships with both internal and external stakeholders.Proficient in technical documentation and adept at creating clear and concise proposals. Speaking Mandarin is a big bonus. Experience working with AI enterprises and understanding their specific needs.Knowledge of containerization technologies like Docker or Kubernetes.Experience developing or managing POC environments for AI projects, specifically deploying GPU clusters.BenefitsCompetitive compensation and commission structure (up to $2M in commission per year). Can be flexible on benefits, depending on location and setup. Salary is also flexible depending on location and setup. Originally posted on Himalayas

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