Advisory Sales Engineer - Strategic AI
At a glance
Mid-level Solutions & Sales Engineering role at DDN. Remote, Germany · full-time · no salary stated · we estimate €62,000–€68,750.
DDN has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Learn customers’ data problems, then turn their technical needs into scalable storage designs
- Plan storage for AI/ML, HPC, analytics and GPU workloads, balancing speed with resilience and protection
- Build system architectures, bills of materials and technical proposals for complex RFPs
- Run customer demos, proofs of concept and performance tests, and advise buyers through the sales process
- Connect storage to GPU clusters, Kubernetes, cloud platforms and AI frameworks
What you bring
- You communicate technical ideas clearly to engineers and executives, and speak German fluently
- You understand storage architectures and protocols such as SAN, NAS, object storage, S3, POSIX, NFS or SMB
- For experienced hires, you bring at least three years in presales, solution architecture or technical consulting
- You have designed infrastructure or storage solutions and worked hands-on with enterprise storage systems
Who this fits
This role suits a technical sales professional who can shape storage solutions and guide complex customer discussions. The posting spans entry-level and experienced candidates, with different education and experience routes; fluent German is required. The position is based remotely in Berlin, Germany.
From the employer
As 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.
You'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.
What You'll Do
Customer Engagement
Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion
Translate technical requirements into elegant, scalable storage solutions that exceed expectations
Act as trusted technical advisor throughout the sales cycle
Solution Design
Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads
Design for reliability, resilience, security, and scale—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
Innovation & Growth
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
What You Bring
Technical Foundation (All Levels)
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 (0-3 years)
Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)
Exposure to storage/systems through coursework, internships, or projects
Strong analytical and problem-solving skills
Customer-facing communication skills
Experienced (3+ years)
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
What Sets You Apart
Genuine curiosity about AI and its impact across industries
Ownership mindset—you solve problems until they're solved
Ability to translate technical complexity into business value
Thrive in fast-evolving technology environments
Collaborative team player with integrity and empathy
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