Sales Engineer - Enterprise AI

June 11, 2024

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Aethir

Aethir is a company focused on providing distributed cloud compute infrastructure, offering secure and cost-effective access to enterprise-grade GPUs worldwide. It specializes in GPU-based solutions that cater to artificial intelligence (AI) and gaming industries, enabling high-performance computing tasks such as AI model training and high-quality gaming experiences. Aethir's infrastructure supports 43,000+ enterprise-grade GPUs in over 23 countries, ensuring 99. 99% uptime and superior reliability. Aethir also facilitates on-chain transactions through partnerships, like with Auros, to streamline compute credit purchases for enterprises, making it a key player in the Web3 services space.

๐Ÿ“‹ Description

โ€ข Collaborate with Enterprise AI Sales representatives to identify and qualify leads with significant AI workloads. โ€ข Deepen client understanding of Aethir's GPUaaS solution through technical presentations, demos, and proof-of-concept (POC) development. โ€ข Translate customer requirements into technical specifications for GPU configurations and compute resources on the Aethir platform. โ€ข Partner with the sales team to develop compelling proposals that demonstrate the cost-effectiveness and scalability of Aethir's solutions compared to traditional approaches. โ€ข Work with pre-sales engineers to configure and implement POC environments, showcasing the performance and efficiency of Aethir's platform. โ€ข Provide ongoing technical support to the sales team throughout the sales cycle, addressing customer inquiries and concerns. โ€ข Stay up-to-date on the latest advancements in AI, GPU technology, and the evolving Aethir platform features.

๐ŸŽฏ Requirements

โ€ข Minimum 3+ years of experience in a technical sales role, preferably within the AI or HPC space. โ€ข Strong understanding of GPU architectures, their capabilities, and their role in accelerating AI workloads, specifically GPUs like A100s and H100s. โ€ข Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch) is a plus. โ€ข Excellent communication and presentation skills with the ability to explain complex technical concepts to a non-technical audience. โ€ข Ability to work effectively in a collaborative environment and build strong relationships with internal and external stakeholders. โ€ข Proficient in technical documentation and adept at creating clear and concise proposals. Speaking Mandarin is a big bonus. โ€ข Experience working with AI enterprises and understanding their specific needs. โ€ข Knowledge of containerization technologies like Docker or Kubernetes. โ€ข Experience developing or managing POC environments for AI projects, specifically deploying GPU clusters.

๐Ÿ–๏ธ Benefits

โ€ข Competitive compensation and commission structure (up to $2M in commission per year). โ€ข Can be flexible on benefits, depending on location and setup. โ€ข Salary is also flexible depending on location and setup.

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