Senior Sales Engineer - US Federal
DDN · Remote
MeritLog read this listing from DDN's Ashby job board and last checked it on September 12, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- Remote
- Salary
- Not listed by source
- Location
- Remote - District of Columbia
Hiring context
How this role compares at DDN
DDN has 94 live roles in MeritLog’s catalog across 9 job families, and 55 of them are in engineering. 20 of those listings publish a pay range, a disclosure rate of 21%.
DDN concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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
- 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
- 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 they're asking for
- Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systemsSkill
- Knowledge of architectural patterns for reliability, resilience, security, and scaleSkill
- Understanding of storage and data protocols: S3, POSIX, NFS, SMBSkill
- Familiarity with network protocols: TCP/IP, InfiniBand, RDMASkill
- Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler)Skill
- Aptitude for AI workloads and how storage enables AI innovationSkill
- Ability to communicate technical concepts to both engineers and executivesSkill
- Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)Education
- Exposure to storage/systems through coursework, internships, or projectsSkill
- Strong analytical and problem-solving skillsSkill
- Customer-facing communication skillsSkill
- 3-8+ years in pre-sales, solutions architecture, or technical consultingExperience
- Proven track record designing storage/infrastructure solutionsSkill
- Hands-on experience with enterprise storage systemsSkill
- Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred)SkillPreferred
- Success managing complex technical sales cyclesSkill
- Genuine curiosity about AI and its impact across industriesSkill
- Ownership mindset-you solve problems until they're solvedSkill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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
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