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
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Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion
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Translate technical requirements into elegant, scalable storage solutions that exceed expectations
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Act as trusted technical advisor throughout the sales cycle
Solution Design
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Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads
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Design for reliability, resilience, security, and scale—balancing performance with data protection
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Create BOMs, system architectures, and technical proposals for complex RFPs
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Conduct live demos, POCs, and performance benchmarking
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Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks
Innovation & Growth
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Stay current on AI infrastructure and storage technology trends
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Collaborate with Product and Engineering teams using field insights
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Mentor team members and contribute to technical thought leadership
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Shape product direction based on customer needs
What You Bring
Technical Foundation (All Levels)
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Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems
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Knowledge of architectural patterns for reliability, resilience, security, and scale
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Understanding of storage and data protocols: S3, POSIX, NFS, SMB
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Familiarity with network protocols: TCP/IP, InfiniBand, RDMA
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Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler)
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Aptitude for AI workloads and how storage enables AI innovation
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Ability to communicate technical concepts to both engineers and executives
Entry Level (0-3 years)
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Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)
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Exposure to storage/systems through coursework, internships, or projects
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Strong analytical and problem-solving skills
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Customer-facing communication skills
Experienced (3+ years)
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3-8+ years in pre-sales, solutions architecture, or technical consulting
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Proven track record designing storage/infrastructure solutions
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Hands-on experience with enterprise storage systems
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Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred)
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Success managing complex technical sales cycles
What Sets You Apart
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Genuine curiosity about AI and its impact across industries
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Ownership mindset—you solve problems until they're solved
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Ability to translate technical complexity into business value
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Thrive in fast-evolving technology environments
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Collaborative team player with integrity and empathy
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