Senior Sales Engineer - Strategic AI

Ddn; Madrid; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

Ddn in Madrid is seeking a Sales Engineer to architect high-performance storage solutions across finance, pharmaceuticals, education, and AI workloads. You’ll translate complex customer requirements into technical designs and demonstrate capabilities through POCs and benchmarks.

You will engage customers throughout the sales cycle as a trusted advisor while collaborating with Product and Engineering to shape future storage offerings, staying current on AI infrastructure trends.

Formación

• Bachelor's degree or related experience in a technical field.
• Experience translating customer requirements into storage architectures.
• Ability to demonstrate solutions via POCs and benchmarks.
• Strong collaboration with product, engineering, and sales teams.

Responsabilidades

• Partner with customers to understand data challenges and design scalable storage solutions.
• Translate technical requirements into architectures for AI/ML, HPC, and analytics workloads.
• Conduct live demos, POCs, and performance benchmarking.
• Create proposals and BOMs for complex RFPs and integrate with GPU clusters and cloud platforms.
• Mentor teammates and contribute to technical thought leadership.

Conocimientos

SAN/NAS/object storage understanding

S3/POSIX/NFS/SMB protocols

TCP/IP/InfiniBand/RDMA

Lustre/GPFS

AI workloads awareness

Communication to engineers and execs

Kubernetes integration

GPU clusters familiarity

Educación

Bachelor's in Computer Science, Engineering, or related field

Herramientas

Kubernetes

GPU clusters

Cloud platforms

AI frameworks

Descripción del empleo

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