Sales Engineer - Enterprise AI

Aethir; United States; On-site; USD 80,000 - 160,000; Full time

Benefits offered by this job

Competitive Compensation

Commission Structure

Flexible Benefits

Job summary

Join a forward-thinking company as a Sales Engineer, where you'll bridge cutting-edge GPU technology with real-world business needs. In this pivotal role, you will collaborate with the Enterprise AI Sales team to showcase the capabilities of a decentralized GPU-as-a-service platform, helping clients unlock the potential of AI. With a focus on technical presentations, POC development, and relationship building, this position offers a unique opportunity to influence successful AI deployments. If you're passionate about technology and eager to make an impact in the AI landscape, this role is perfect for you.

Qualifications

• 3+ years in technical sales, preferably in AI or HPC.
• Strong understanding of GPU architectures and AI workloads.

Responsibilities

• Collaborate with sales to identify leads with AI workloads.
• Provide technical presentations and support throughout the sales cycle.

Skills

Technical Sales Experience

Communication Skills

Presentation Skills

Understanding of GPU Architectures

Collaboration Skills

Technical Documentation

Knowledge of AI Frameworks

Mandarin Speaking

Tools

Docker

Kubernetes

Job description

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.

Requirements:

• Minimum 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.

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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• IT Services and IT Consulting