Advisory Sales Engineer – Strategic AI

🔥 15 hours ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💸 Sales Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DDN

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1998

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

💰 $10M Funding Round on 2011-06

Healthcare • Logistics • Manufacturing

DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.

📋 Description

• Partner with customers to understand critical data challenges, including high-frequency trading, genomics processing, AI model training, and autonomous vehicle sensor fusion • Translate technical requirements into elegant, scalable storage solutions • Act as a trusted technical advisor throughout the sales cycle • Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads • Design for reliability, resilience, security, and scale while 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 • 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

🎯 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 • 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 • Fluent German is required • Entry-level candidates: Bachelor's in Computer Science, Engineering, or related field (or equivalent experience) • Entry-level candidates: 0–3 years of experience, with exposure to storage/systems through coursework, internships, or projects • Strong analytical and problem-solving skills • Customer-facing communication skills • Experienced candidates: 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

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