growthroles

Senior Sales Engineer

DDN ddn.com Open · verified Sep 22, 2026
On-site Stockholm Full-time Senior Solutions & Sales Engineering

At a glance

Senior Solutions & Sales Engineering role at DDN. Stockholm · full-time.

Pay not stated

RoleSolutions & Sales Engineering
SenioritySenior
LocationStockholm
WorkplaceOn-site
EmploymentFull-time
PostedJul 22, 2026 · 2mo ago
Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

  • Turn customer data challenges into scalable storage designs for trading, genomics, AI training, and sensor fusion
  • Build architectures, bills of materials, and proposals for complex storage infrastructure requests
  • Prove solution performance through live demonstrations, proof-of-concepts, and benchmarking
  • Connect storage with GPU clusters, Kubernetes, cloud platforms, and AI frameworks
  • Guide technical sales conversations while feeding customer insight into product direction

What you bring

  • Three or more years in pre-sales, solutions architecture, or technical consulting for the experienced track
  • A record of designing storage or infrastructure solutions, including hands-on enterprise storage work
  • Working knowledge of SAN, NAS, object storage, parallel file systems, and protocols such as S3, POSIX, NFS, and SMB
  • Familiarity with TCP/IP, InfiniBand, RDMA, and storage architectures built for reliability, security, resilience, and scale

Who this fits

You’ll suit a senior, customer-facing technical role where you explain complex infrastructure to both engineers and executives. The work favors someone curious about AI, comfortable with complex technical sales cycles, and willing to own problems through resolution. This role is onsite in Stockholm, Sweden.

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

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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