Sales Engineer - Strategic AI

Accountabilities:

• Partner with enterprise customers to deeply understand technical requirements and business challenges related to AI, analytics, and high-performance computing workloads.

• Design and architect scalable storage and data infrastructure solutions supporting AI/ML training, GPU clusters, and data-intensive applications.

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

• Lead and execute demos, proof-of-concepts, and performance benchmarking activities to validate solution effectiveness.

• Integrate storage solutions with modern ecosystems including Kubernetes, cloud platforms, and AI frameworks.

• Collaborate with internal engineering and product teams, providing field insights to influence roadmap and innovation.

• Act as a trusted technical advisor throughout the full sales cycle, from discovery to deployment.

Requirements:

• Strong foundation in storage and data architectures including SAN, NAS, object storage, and parallel file systems.

• Understanding of data and storage protocols such as S3, NFS, SMB, and POSIX, as well as networking fundamentals (TCP/IP, RDMA, InfiniBand).

• Experience or familiarity with AI/ML infrastructure, HPC environments, or high-performance distributed systems.

• Ability to translate complex technical concepts into clear business value for both technical and executive audiences.

• Experience in pre-sales engineering, solutions architecture, or technical consulting roles (0–8+ years depending on level).

• Strong problem-solving mindset with the ability to work independently and drive outcomes in fast-paced environments.

• Excellent communication skills and customer-facing experience, with a collaborative and consultative approach.

• Curiosity for emerging technologies in AI infrastructure and distributed computing systems.

Benefits:

• Competitive compensation aligned with experience and market standards.

• Remote-friendly and flexible working arrangements.

• Opportunity to work on cutting-edge AI and high-performance computing infrastructure.

• Exposure to enterprise-scale, mission-critical customer environments.

• Career growth in a rapidly evolving AI and data technology space.

• Collaborative and innovation-driven work culture.

• Comprehensive benefits package (health, wellness, and other standard employee support programs).

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1