Sales Engineer - Enterprise AI

June 11

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Logo of Aethir

Aethir

Scalable Decentralized Cloud Infrastructure (DCI)

11 - 50

Description

• 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.

Requirements

• Minimum 3+ years of experience in a technical sales role, preferably within the AI or 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 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.

Benefits

• Competitive 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.

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