Advisory Sales Engineer – Strategic AI

🔥 3 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💸 Sales Engineer

👻 Ghost score 15%

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

🤖 Artificial Intelligence

🔧 Hardware

💰 $300M GROWTH EQUITY VC on 2025-01

Artificial Intelligence • Hardware

DDN is a global provider of high-performance data infrastructure and an advanced data intelligence platform built for demanding AI and GPU workloads. DDN delivers purpose-built hardware (e. g. , AI400X systems) and software solutions (EXAScaler, Infinia, Data Intelligence Platform) to power AI factories, sovereign AI, hyperscalers, and supercomputing environments, optimizing GPU utilization and end-to-end AI pipelines. The company serves enterprises and cloud providers across industries including automotive, financial services, life sciences, media & entertainment, higher education, and the public sector, emphasizing data sovereignty, multi-tenant cloud deployments, and performance at scale.

📋 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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