Senior Sales Engineer - US Federal
At a glance
Senior Solutions & Sales Engineering role at DDN. Remote, United States · full-time.
Pay not stated
Growth Roles summary, based on the employer's posting.
What you'll do
- Turn customer data challenges into scalable storage designs for trading, genomics, AI training, and sensor fusion
- Build architectures for AI/ML, HPC, analytics, and GPU workloads with reliability, security, resilience, and scale
- Prepare BOMs, system designs, RFP proposals, live demonstrations, POCs, and performance benchmarks
- Connect storage with GPU clusters, Kubernetes, cloud platforms, and AI frameworks during technical sales cycles
- Use customer feedback with Product and Engineering while mentoring teammates and shaping technical direction
What you bring
- At least three years in pre-sales, solutions architecture, or technical consulting for the experienced track
- A record of designing storage or infrastructure solutions, including hands-on enterprise storage experience
- Working knowledge of SAN, NAS, object storage, parallel file systems, and protocols such as S3, POSIX, NFS, and SMB
- Familiarity with TCP/IP, InfiniBand, RDMA, and storage technologies including Lustre, GPFS, or Exascaler
- You can explain technical ideas clearly to engineers and executives while connecting them to business value
Who this fits
You’ll suit a senior, customer-facing solutions engineer who can guide complex technical sales cycles and solve storage problems through completion. The role fits someone curious about AI infrastructure, comfortable with enterprise storage, and able to work across Product and Engineering. It is a remote, full-time position based in Nashville, United States.
From the employer
As a Senior 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
Not this one either?
Claude or ChatGPT reads the other 88,355 for you.
Get better matches →
