Advisory Sales Engineer - Strategic AI

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