DDN
Advisory Sales Engineer - Strategic AI
Remote - California
Sponsorship not specifiedDetected 6 days ago
Cloud PlatformsKubernetesMachine LearningData AnalysisSalesSensorsTCP/IPBioinformaticsResearchLeadershipCommunicationProblem Solving
About the role
- Work across finance, pharmaceuticals, education, and physical AI-designing systems that power real-time trading, accelerate drug discovery, enable groundbreaking research, and fuel autonomous systems.
Responsibilities
- Design for reliability, resilience, security, and scale-balancing performance with data protection
- Create BOMs, system architectures, and technical proposals for complex RFPs
- Collaborate with Product and Engineering teams using field insights
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
- Familiarity with network protocols: TCP/IP, InfiniBand, RDMA
- ENTRY LEVEL (0-3 YEARS)
- EXPERIENCED (3+ YEARS)
- Ability to translate technical complexity into business value
Nice to have
- 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
- 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
- 3-8+ years in pre-sales, solutions architecture, or technical consulting
Company info
- As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions.
- You'll translate complex customer requirements into elegant technical solutions, demonstrate capabilities through POCs and benchmarks, and serve as a trusted advisor throughout the sales cycle.
- Partner with customers to understand their critical data challenges-high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion
This listing is sourced directly from DDN's careers page and normalized into a canonical job model.