Advisory Sales Engineer – Strategic AI

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

📋 Description

• Collaborate with customers to identify key data challenges, including high-frequency trading, genomics processing, AI model training, and sensor fusion for autonomous vehicles.

• Convert technical specifications into sophisticated, scalable storage solutions.

• Serve as a reliable 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 optimizing performance and data protection.

• Prepare BOMs, system architectures, and technical proposals for intricate RFPs.

• Execute live demonstrations, POCs, and performance assessments.

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

• Keep up-to-date with trends in AI infrastructure and storage technologies.

• Work alongside Product and Engineering teams, leveraging field insights.

• Guide team members and contribute to technical thought leadership initiatives.

• Influence product strategy based on customer requirements.

⛳️ Requirements

• Comprehensive knowledge of storage and data architectures: SAN, NAS, object storage, and parallel file systems.

• Familiarity with architectural frameworks that ensure reliability, resilience, security, and scalability.

• Understanding of storage and data protocols including S3, POSIX, NFS, and SMB.

• Acquaintance with networking protocols: TCP/IP, InfiniBand, and RDMA.

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

• Understanding of AI workloads and the role of storage in driving AI advancements.

• Capability to articulate technical ideas to both engineering teams and executive stakeholders.

• Proficiency in German is mandatory.

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

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

• Strong analytical and problem-solving abilities.

• Effective communication skills in customer-facing roles.

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

• Demonstrated success in designing storage/infrastructure solutions.

• Hands-on experience with enterprise storage systems.

• Experience with AI/ML infrastructure, HPC, or high-performance workloads is preferred.

• Proven ability to manage complex technical sales processes.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible working arrangements to support work-life balance.

• Collaborative and innovative work environment.