Advisory Sales Engineer - Strategic AI
Don't apply into the void.
Most applications for this DDN role vanish into an ATS. With jobfinder-ai, your agent finds the actual hiring manager or founder behind this opening and sends a tailored email from your own inbox — so a real person reads your pitch and replies. We then follow up until you land on the calendar.
Reach the decision-maker — $5About the role
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
Ready to reach the decision-maker?
Set this role as a target and your agent does the sourcing, finds the verified email, writes the pitch, and follows up — on autopilot.
Start your hunt