EngineeringOn-site

Senior Sales Engineer - Strategic AI

DDN · On-site

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

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: On-site
Salary: Not listed by source
Location: Paris Office

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 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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