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 DoCustomer 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 cycleSolution 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 frameworksInnovation & 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 needsWhat You BringTechnical 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 executivesEntry 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 skillsExperienced (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 cyclesWhat 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#J-18808-Ljbffr

📌 Senior Sales Engineer - Strategic Ai (Madrid)
🏢 DDN
📍 Madrid