World’s leading Data Intelligence Platform supercharging over 500,000 GPUs across all data workloads
Advisory Sales Engineer - Strategic AI
Location
Sweden
Posted
2 days ago
Salary
0
Seniority
Mid Level
Job Description
Advisory Sales Engineer - Strategic AI
DDN
Role Description As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions. 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. 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. What You'll Do - Customer Engagement - 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. - Solution Design - 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. - Innovation & Growth - 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. Qualifications - Technical Foundation (All Levels) - 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. What Sets You Apart - Genuine curiosity about AI and its impact across industries. - Ownership mindset—you solve problems until they're solved. - Ability to translate technical complexity into business value. - Thrive in fast-evolving technology environments. - Collaborative team player with integrity and empathy.
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