Senior Sales Engineer, LATAM

🕒 May 11

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DDN

1001 - 5000 employees

Founded 1998

🤖 Artificial Intelligence

💰 $10M Funding Round on 2011-06

Artificial Intelligence • Data Center and Cloud Computing • High Performance Computing

DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.

📋 Description

• 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 • Act as trusted technical advisor throughout the sales cycle • Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads • 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 • 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.

🎯 Requirements

• 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) • Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems • Knowledge of architectural patterns for reliability, resilience, security, and scale • Ability to communicate technical concepts to both engineers and executives • Bachelor's in Computer Science, Engineering, or related field (or equivalent experience) • Strong analytical and problem-solving skills • Customer-facing communication skills.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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