Advisory Sales Engineer – Strategic AI

This is a fully remote position, open to applicants in Germany.

📋 Description

• Collaborate with customers to identify significant data challenges, such as high-frequency trading, genomics processing, AI model training, and autonomous vehicle sensor fusion.

• Convert technical specifications into sophisticated, scalable storage solutions.

• Serve as a trusted technical advisor throughout the sales process.

• Design storage systems for AI/ML training, HPC simulations, data analytics, and GPU-accelerated tasks.

• Ensure designs are reliable, resilient, secure, and scalable while maintaining a balance between performance and data protection.

• Develop BOMs, system architectures, and technical proposals for complex RFPs.

• Conduct live demonstrations, proof of concepts (POCs), and performance benchmarking.

• Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks.

• Keep abreast of trends in AI infrastructure and storage technology.

• Work collaboratively with Product and Engineering teams, leveraging field insights.

• Mentor team members and contribute to the development of technical thought leadership.

• Influence product direction based on customer feedback and needs.

⛳️ Requirements

• Strong grasp of storage and data architectures: SAN, NAS, object storage, parallel file systems.

• Knowledge of architectural patterns that ensure reliability, resilience, security, and scalability.

• Familiarity with storage and data protocols: S3, POSIX, NFS, SMB.

• Understanding of network protocols: TCP/IP, InfiniBand, RDMA.

• Interest in massively parallel technologies such as Lustre, GPFS, Exascaler.

• Aptitude for AI workloads and comprehension of how storage facilitates AI innovation.

• Capability to convey technical concepts to both engineers and executives.

• Proficiency in German is mandatory.

• For entry-level candidates: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

• For entry-level candidates: 0–3 years of experience, with exposure to storage/systems through coursework, internships, or projects.

• Excellent analytical and problem-solving abilities.

• Strong customer-facing communication skills.

• For experienced candidates: 3–8+ years in pre-sales, solutions architecture, or technical consulting.

• Demonstrated success in designing storage/infrastructure solutions.

• Practical experience with enterprise storage systems.

• Preferred experience in AI/ML infrastructure, HPC, or high-performance workloads.

• Proven success in managing complex technical sales cycles.

🏝️ Benefits

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible working hours and remote work options.

• Engaging work environment with a focus on innovation.