DDN

Sales Engineer

DDN

full-time

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

AI Apply
Apply

About the role

  • 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
  • Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks
  • 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

  • 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 opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
storage architecturesdata architecturesSANNASobject storageparallel file systemsS3POSIXNFSSMB
Soft Skills
analytical skillsproblem-solving skillscustomer-facing communicationtechnical communicationmentoringcollaborationtechnical thought leadership
Certifications
Bachelor's in Computer ScienceBachelor's in Engineeringrelated field