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DDN

Sales Engineer - US Fed

Remote - Arizona (Remote)fulltimemidAdded today

About this role

Join as a Sales Engineer to design and sell high-performance storage solutions for demanding customers in finance, pharma, and AI. You'll architect complex systems, conduct technical demonstrations, and guide prospects through the sales cycle while staying at the forefront of AI infrastructure innovation.

What you'll do

  • Partner with customers to understand critical data and storage challenges across trading, genomics, AI training, and autonomous systems
  • Design scalable storage architectures for AI/ML, HPC, and GPU-accelerated workloads, balancing performance, reliability, and security
  • Create technical proposals, BOMs, system designs, and conduct live POCs and performance benchmarks
  • Integrate storage solutions with GPU clusters, Kubernetes, cloud platforms, and AI frameworks
  • Collaborate with Product and Engineering teams to shape direction based on field insights and customer feedback
  • Serve as trusted technical advisor throughout complex sales cycles and mentor team members

What they're looking for

  • Storage architectures (SAN, NAS, object storage, parallel file systems)
  • Data protocols (S3, POSIX, NFS, SMB) and network protocols (TCP/IP, InfiniBand, RDMA)
  • AI/ML infrastructure and GPU-accelerated workloads
  • Solutions architecture and technical design
  • Complex RFP and proposal writing
  • Sales cycle management and customer communication
  • Enterprise storage systems and HPC technologies
  • Technical presentation and executive communication
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Likely interview questions

  • Walk us through how you've designed a storage solution for a complex customer requirement—what was the challenge and how did you balance competing priorities?
  • Describe your experience with AI/ML infrastructure. How would you design storage for GPU training workloads versus inference pipelines?
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