Senior Sales Engineer

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