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Advisory Sales Engineer - Strategic AI

DDNRemote - GermanyDepartment
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
18 Aug 2026
Status
Open · checked 7d ago

About this role

The Advisory Sales Engineer - Strategic AI is a full-time remote position based in Germany with DDN, designed for individuals with an aptitude for storage and AI technologies. This role suits technical professionals who want to help customers across finance, pharmaceuticals, and physical AI build high-performance data systems.

Role Overview

In this position, the Sales Engineer architects high-performance storage solutions that empower clients to tackle ambitious technical goals. The professional works across industries like finance, pharmaceuticals, education, and physical AI, designing systems for real-time trading, drug discovery, research, and autonomous systems. The incumbent translates complex customer needs into technical solutions, proves capabilities through benchmarks and proofs of concept, and acts as a trusted advisor throughout the entire sales lifecycle.

Key Responsibilities

Partner with clients to understand critical data challenges in genomics processing, high-frequency trading, AI training, and autonomous vehicle sensor fusion.
Translate technical needs into scalable, elegant storage solutions.
Act as a trusted technical advisor across the sales cycle.
Architect storage infrastructures for HPC simulations, AI and machine learning training, data analytics, and GPU-accelerated workloads.
Design for scale, security, resilience, and reliability while balancing performance and data protection needs.
Produce technical proposals, system architectures, and bills of materials for complex requests for proposal.
Execute live demonstrations, proofs of concept, and performance benchmarks.
Integrate solutions with cloud platforms, GPU clusters, AI frameworks, and Kubernetes.
Keep up to date with storage technology and AI infrastructure trends.
Collaborate with engineering and product teams by sharing field insights and shaping product direction.
Mentor colleagues and contribute to technical thought leadership.

Requirements

Fluent German language skills.
Strong grasp of storage and data architectures including object storage, SAN, NAS, and parallel file systems.
Knowledge of architectural patterns focused on scale, security, resilience, and reliability.
Understanding of data and storage protocols such as SMB, NFS, POSIX, and S3.
Familiarity with network protocols including RDMA, InfiniBand, and TCP/IP.
Curiosity regarding massively parallel technologies such as Exascaler, GPFS, and Lustre.
Clear aptitude for understanding AI workloads and storage-driven AI innovation.
Ability to explain complex technical concepts clearly to both executive leadership and engineers.
For entry-level candidates: 0 to 3 years of experience, a bachelor's degree in a related technical field or equivalent experience, exposure to systems or storage through projects or coursework, strong problem-solving skills, and customer-facing communication abilities.

Skills and Tools

Kubernetes
Storage and data protocols (S3, POSIX, NFS, SMB)
Network protocols (TCP/IP, InfiniBand, RDMA)
Storage architectures (SAN, NAS, object storage, parallel file systems)
Parallel technologies (Lustre, GPFS, Exascaler)

About the Company

DDN delivers high-performance storage solutions that enable organizations in sectors such as finance, pharmaceuticals, and education to achieve demanding computational goals and support advanced AI initiatives.

How to Apply

Interested candidates should visit the official DDN careers page to submit their application for this remote position in Germany.

Skills and tech stack

Kubernetes

Questions candidates ask

Where is this job located?

This position is remote based in Germany.

What language skills are required?

Fluent German is required for this role.

What experience level is required for entry-level applicants?

Entry-level candidates should have 0 to 3 years of experience, along with a bachelor's degree in a related field or equivalent experience.

What industries does this role support?

The role supports industries including finance, pharmaceuticals, education, and physical AI.

What technical knowledge is expected regarding storage?

Candidates need a strong understanding of storage and data architectures such as NAS, SAN, object storage, and parallel file systems, alongside protocols like S3, POSIX, NFS, and SMB.

Ready to apply?

The application is on the official DDN careers page.

Apply on company site