ppAs 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. /p pYou'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. /p h3bWhat You'll Do /b /h3 h3bCustomer Engagement /b /h3 ul lipPartner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion /p /li lipTranslate technical requirements into elegant, scalable storage solutions that exceed expectations /p /li lipAct as trusted technical advisor throughout the sales cycle /p /li /ul h3bSolution Design /b /h3 ul lipArchitect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads /p /li lipDesign for reliability, resilience, security, and scale—balancing performance with data protection /p /li lipCreate BOMs, system architectures, and technical proposals for complex RFPs /p /li lipConduct live demos, POCs, and performance benchmarking /p /li lipIntegrate with GPU clusters, Kubernetes, cloud platforms,



and AI frameworks /p /li /ul h3bInnovation Growth /b /h3 ul lipStay current on AI infrastructure and storage technology trends /p /li lipCollaborate with Product and Engineering teams using field insights /p /li lipMentor team members and contribute to technical thought leadership /p /li lipShape product direction based on customer needs /p /li /ul h3bWhat You Bring /b /h3 h3bTechnical Foundation (All Levels) /b /h3 ul lipStrong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems /p /li lipKnowledge of architectural patterns for reliability, resilience, security, and scale /p /li lipUnderstanding of storage and data protocols: S3, POSIX, NFS, SMB /p /li lipFamiliarity with network protocols: TCP/IP, InfiniBand, RDMA /p /li lipCuriosity about massively parallel technologies (Lustre, GPFS, Exascaler) /p /li lipAptitude for AI workloads and how storage enables AI innovation /p /li lipAbility to communicate technical concepts to both engineers and executives /p /li /ul h3bEntry Level (0-3 years) /b /h3 ul lipBachelor's in Computer Science, Engineering, or related field (or equivalent experience) /p /li lipExposure to storage/systems through coursework, internships, or projects /p /li lipStrong analytical and problem-solving skills /p /li lipCustomer-facing communication skills /p /li /ul h3bExperienced (3+ years) /b /h3 ul lip3-8+ years in pre-sales, solutions architecture, or technical consulting /p /li lipProven track record designing storage/infrastructure solutions /p /li lipHands-on experience with enterprise storage systems /p /li lipExperience with AI/ML infrastructure, HPC, or high-performance workloads (preferred) /p /li lipSuccess managing complex technical sales cycles /p /li /ul h3bWhat Sets You Apart /b /h3 ul lipGenuine curiosity about AI and its impact across industries /p /li lipOwnership mindset—you solve problems until they're solved /p /li lipAbility to translate technical complexity into business value /p /li lipThrive in fast-evolving technology environments /p /li lipCollaborative team player with integrity and empathy /p /li /ul /p #J-18808-Ljbffr

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