# Senior Sales Engineer at DDN

Senior Sales Engineer at DDN in Remote - Sweden. On-site, full-time. Posted July 22, 2026.

- Company: DDN
- Location: Remote - Sweden
- Workplace: On-site
- Job type: Full-time
- Posted: 2026-07-22
- Apply: https://jobs.ashbyhq.com/ddn/bc40c079-340b-40e9-b013-030fc150bcf9/application
- Source: https://jobmagic.ai/jobs/senior-sales-engineer-ddn-7kcexv

## Description

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

### **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