DDN logo
DDN

World’s leading Data Intelligence Platform supercharging over 500,000 GPUs across all data workloads

Advisory Sales Engineer – Strategic AI

Sales EngineerSales EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 1998H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

107 days ago

Salary

0

Seniority

Senior

Bachelor Degree3 yrs expEnglishNFSTCP/IP

Job Description

Advisory Sales Engineer – Strategic AI

DDN

• 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

Job Requirements

  • Strong 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)
  • Aptitude for AI workloads and how storage enables AI innovation
  • Ability to communicate technical concepts to both engineers and executives
  • Entry Level (0-3 years)
  • Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)
  • Exposure to storage/systems through coursework, internships, or projects
  • Strong analytical and problem-solving skills
  • Customer-facing communication skills
  • Experienced (3+ years)
  • 3-8+ years in pre-sales, solutions architecture, or technical consulting
  • Proven track record designing storage/infrastructure solutions
  • Hands-on experience with enterprise storage systems
  • Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred)
  • Success managing complex technical sales cycles

Benefits

  • Professional development
  • Health insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off
  • Remote work options

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