[Remote] Advisory Sales Engineer - Strategic AI

Note: The job is a remote job and is open to candidates in USA. DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation. The role involves architecting high-performance storage solutions for customers in various industries, translating complex requirements into scalable solutions, and acting as a trusted advisor throughout the sales cycle.ResponsibilitiesPartner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusionTranslate technical requirements into elegant, scalable storage solutions that exceed expectationsAct as trusted technical advisor throughout the sales cycleArchitect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloadsDesign for reliability, resilience, security, and scale—balancing performance with data protectionCreate BOMs, system architectures, and technical proposals for complex RFPsConduct live demos, POCs, and performance benchmarkingIntegrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworksStay current on AI infrastructure and storage technology trendsCollaborate with Product and Engineering teams using field insightsMentor team members and contribute to technical thought leadershipShape product direction based on customer needsSkillsStrong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systemsKnowledge of architectural patterns for reliability, resilience, security, and scaleUnderstanding of storage and data protocols: S3, POSIX, NFS, SMBFamiliarity with network protocols: TCP/IP, InfiniBand, RDMACuriosity about massively parallel technologies (Lustre, GPFS, Exascaler)Aptitude for AI workloads and how storage enables AI innovationAbility to communicate technical concepts to both engineers and executivesBachelor's in Computer Science, Engineering, or related field (or equivalent experience)Exposure to storage/systems through coursework, internships, or projectsStrong analytical and problem-solving skillsCustomer-facing communication skills3-8+ years in pre-sales, solutions architecture, or technical consultingProven track record designing storage/infrastructure solutionsHands-on experience with enterprise storage systemsSuccess managing complex technical sales cyclesGenuine curiosity about AI and its impact across industriesOwnership mindset—you solve problems until they're solvedAbility to translate technical complexity into business valueThrive in fast-evolving technology environmentsCollaborative team player with integrity and empathySelf-Starter - Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiativesSuccess/Achievement Orientation - Delivers quality results consistently. Targets, achieves (or exceeds) measurable results. Sets challenging goals, focuses on critical priorities, and is accountableProblem Solving - Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical, realistic, and resourcefulInnovative - Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas, challenges the status quo, and solves problems creativelyExperience with AI/ML infrastructure, HPC, or high-performance workloadsCompany OverviewDDN is the world’s leading AI and data intelligence company, powering the world’s most demanding AI workloads by keeping GPUs fed, efficient, and productive—at massive scale—so organizations can train, checkpoint, and infer faster with less footprint and power while achieving tremendous ROI from their AI investments. It was founded in 1998, and is headquartered in Chatsworth, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.ddn.com.Company H1B SponsorshipDDN has a track record of offering H1B sponsorships, with 3 in 2026, 5 in 2025, 3 in 2024, 2 in 2023, 4 in 2022, 3 in 2021. Please note that this does not guarantee sponsorship for this specific role.