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DataDirect Networks

High-performance storage for unstructured data

Advisory Sales Engineer - Strategic AI

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Strong understanding of storage and data architectures, including storage area networks, network-attached storage, object storage, and parallel file systems.
  • Knowledge of architectural patterns for reliability, resilience, security, and scale.
  • Understanding of storage and data protocols, including S3, POSIX, NFS, and SMB.
  • Familiarity with network protocols, including TCP/IP, InfiniBand, and RDMA.
  • Curiosity about massively parallel technologies such as Lustre, GPFS, and Exascaler.
  • Aptitude for artificial intelligence workloads and how storage enables artificial intelligence innovation.
  • Ability to communicate technical concepts to engineers and executives.
  • Fluent German is required.
  • For entry-level candidates: a bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience; exposure to storage or systems through coursework, internships, or projects; strong analytical and problem-solving skills; and customer-facing communication skills.
  • For experienced candidates: 3–8+ years in pre-sales, solutions architecture, or technical consulting; a proven track record designing storage or infrastructure solutions; hands-on experience with enterprise storage systems; and success managing complex technical sales cycles.

Responsibilities

  • Partner with customers to understand critical data challenges such as high-frequency trading, genomics processing, artificial intelligence 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 artificial intelligence and machine learning training, high-performance computing simulations, data analytics, and graphics processing unit-accelerated workloads.
  • Design for reliability, resilience, security, and scale while balancing performance with data protection.
  • Create bills of materials, system architectures, and technical proposals for complex requests for proposals.
  • Conduct live demonstrations, proofs of concept, and performance benchmarking.
  • Integrate solutions with graphics processing unit clusters, Kubernetes, cloud platforms, and artificial intelligence frameworks.
  • Stay current on artificial intelligence 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.

Desired Qualifications

  • Experience with artificial intelligence and machine learning infrastructure, high-performance computing, or high-performance workloads is preferred.
  • Genuine curiosity about artificial intelligence and its impact across industries.
  • An ownership mindset and willingness to solve problems until they are resolved.
  • Ability to translate technical complexity into business value.
  • Ability to thrive in fast-evolving technology environments.
  • Collaborative approach, integrity, and empathy.

About the Company

DataDirect Networks

High-performance storage for unstructured data

DDN provides high-performance data storage systems and software for data-intensive environments, including unstructured data, HPC, and AI workloads. Its products combine hardware and software to manage the data lifecycle, with A³I for GPU-optimized AI, EXAScaler as a parallel file system, IntelliFlash hybrid arrays, and Infinia for fast inference. The company differentiates itself through a dedicated focus on HPC/AI storage, close collaboration with NVIDIA, and a strategy of expanding software-defined storage and file systems via acquisitions. Its goal is to help customers scale data storage and AI workloads efficiently across enterprises, government, academia, and cloud providers.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$309.9M
Headquarters
Los Angeles, CA
Founded
1998

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