Senior Sales Engineer

DDN; Paris; Sur place; EUR 85 000 - 120 000; Plein temps

Résumé du poste

DDN is seeking a Sales Engineer to architect high-performance storage solutions across finance, pharma, education, and AI applications. You will translate complex customer requirements into scalable systems and demonstrate capabilities via POCs and benchmarks.

You will serve as a trusted advisor throughout the sales cycle and collaborate with Product/Engineering to shape AI infrastructure offerings.

Qualifications

• 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 abilities.
• 3+ years in pre-sales, solutions architecture, or technical consulting is a plus.

Responsabilités

• Partner with customers to understand data challenges across finance, pharma, education and AI workloads.
• Translate requirements into scalable storage solutions and present compelling proposals.
• Act as trusted technical advisor throughout the sales cycle and conduct live demos/POCs.
• Architect storage for AI/ML training, HPC, data analytics; design for reliability and security.
• Create BOMs, system architectures, and technical proposals for complex RFPs.
• Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks.
• Stay current on AI infrastructure trends and collaborate with Product/Engineering.
• Mentor teammates and contribute to technical thought leadership.

Connaissances

Storage architectures

Data architectures

AI workloads

Proposals & storytelling

Customer-facing

Formation

Bachelor's in Computer Science / Engineering

Outils

GPU clusters

Kubernetes

Cloud platforms

AI frameworks

Description du poste

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