Advisory Sales Engineer – Strategic AI

🕒 May 4

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💸 Sales Engineer

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DDN

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1998

🤖 Artificial Intelligence

💰 $10M Funding Round on 2011-06

Artificial Intelligence • Data Center and Cloud Computing • High Performance Computing

DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.

📋 Description

• Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion • Translate technical requirements into elegant, scalable storage solutions that exceed expectations • Act as trusted technical advisor throughout the sales cycle • Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads • Design for reliability, resilience, security, and scale—balancing performance with data protection • Create BOMs, system architectures, and technical proposals for complex RFPs • Conduct live demos, POCs, and performance benchmarking • Stay current on AI infrastructure and storage technology trends • Collaborate with Product and Engineering teams using field insights • Mentor team members and contribute to technical thought leadership • Shape product direction based on customer needs

🎯 Requirements

• 0-3 years experience in the IT industry or related field • Understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems • Knowledge of architectural patterns for reliability, resilience, security, and scale • Understanding of storage and data protocols: S3, POSIX, NFS, SMB • Familiarity with network protocols: TCP/IP, InfiniBand, RDMA • Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler) • Bachelor's in Computer Science, Engineering, or related field (or equivalent experience) • Strong analytical and problem-solving skills • Customer-facing communication skills

🏖️ Benefits

• Equal Opportunity/Affirmative Action employer