As a Sales Engineer, architect high-performance storage solutions across industries (finance
Translate complex customer requirements into scalable storage designs and demonstrate capabilities
Act as a trusted advisor throughout the sales cycle.
Design storage for AI/ML training, HPC simulations, data analytics, and GPU workloads.
Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks.
Collaborate with Product and Engineering teams; stay current on AI infrastructure trends.

🎯 Requirements

Storage and data architectures knowledge: SAN, NAS, object storage, parallel file systems
Patterns for reliability, resilience, security, and scale
Protocols: S3, POSIX, NFS, SMB; Networking: TCP/IP, InfiniBand, RDMA
Experience with AI workloads and how storage enables AI innovation
Ability to communicate technical concepts to engineers and executives
Entry level and Experienced tracks with relevant enterprise storage exposure

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