Sales Engineer - Strategic AI

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sales Engineer - Strategic AI in United States.

This role sits at the intersection of cutting-edge AI infrastructure and high-performance data systems, supporting some of the most demanding workloads in industries such as finance, life sciences, research, and autonomous systems. You will act as a key technical advisor throughout the sales cycle, helping customers translate complex data challenges into scalable, high-performance storage solutions. The position involves close collaboration with enterprise clients to design architectures that enable AI/ML training, HPC workloads, and real-time analytics. You will contribute directly to proof-of-concepts, benchmarking, and solution validation in highly technical environments. Working alongside engineering and product teams, you will help shape next-generation data platforms. This is a highly impactful, customer-facing role in a fast-evolving AI infrastructure space.

• Partner with enterprise customers to deeply understand technical requirements and business challenges related to AI, analytics, and high-performance computing workloads.
• Design and architect scalable storage and data infrastructure solutions supporting AI/ML training, GPU clusters, and data-intensive applications.
• Develop technical proposals, system architectures, and BOMs for complex enterprise opportunities and RFPs.
• Lead and execute demos, proof-of-concepts, and performance benchmarking activities to validate solution effectiveness.
• Integrate storage solutions with modern ecosystems including Kubernetes, cloud platforms, and AI frameworks.
• Collaborate with internal engineering and product teams, providing field insights to influence roadmap and innovation.
• Act as a trusted technical advisor throughout the full sales cycle, from discovery to deployment.

Requirements:

• Strong foundation in storage and data architectures including SAN, NAS, object storage, and parallel file systems.
• Understanding of data and storage protocols such as S3, NFS, SMB, and POSIX, as well as networking fundamentals (TCP/IP, RDMA, InfiniBand).
• Experience or familiarity with AI/ML infrastructure, HPC environments, or high-performance distributed systems.
• Ability to translate complex technical concepts into clear business value for both technical and executive audiences.
• Experience in pre-sales engineering, solutions architecture, or technical consulting roles (0–8+ years depending on level).
• Strong problem-solving mindset with the ability to work independently and drive outcomes in fast-paced environments.
• Excellent communication skills and customer-facing experience, with a collaborative and consultative approach.
• Curiosity for emerging technologies in AI infrastructure and distributed computing systems.

Benefits:

• Competitive compensation aligned with experience and market standards.
• Remote-friendly and flexible working arrangements.
• Opportunity to work on cutting-edge AI and high-performance computing infrastructure.
• Exposure to enterprise-scale, mission-critical customer environments.
• Career growth in a rapidly evolving AI and data technology space.
• Collaborative and innovation-driven work culture.
• Comprehensive benefits package (health, wellness, and other standard employee support programs).