Solutions Engineer

You will support the sales cycle by qualifying technical requirements, delivering demonstrations and workshops, and designing AI infrastructure solutions. You will help customers evaluate workloads, validate solutions, and onboard successfully while providing feedback to product, engineering, and operations stakeholders.

Responsibilities

• Qualify customer opportunities and identify technical requirements.
• Deliver product demonstrations, technical presentations, workshops, and architecture sessions.
• Translate customer AI, HPC, and infrastructure requirements into solution designs.
• Develop solution proposals aligned with customer business outcomes.
• Support proof of concepts, evaluations, onboarding projects, and technical validation.
• Provide guidance on compute, networking, storage, orchestration, and workload optimization.
• Create repeatable demo environments, technical playbooks, reference architectures, and sales enablement materials.
• Surface customer feedback, product gaps, and technical objections.
• Support RFQ, BOM, and technical proposal development.

Requirements

• Experience in presales engineering, solutions architecture, sales engineering, cloud architecture, or a similar customer-facing technical role.
• Experience supporting enterprise or mid-market sales cycles in infrastructure, cloud, AI, data center, or platform environments.
• Understanding of cloud infrastructure, GPU compute, AI and ML workloads, or high-performance infrastructure.
• Familiarity with containers, Kubernetes, Slurm, orchestration platforms, or workload deployment models.
• Understanding of networking, storage, and distributed compute.
• Strong technical presentation, collaboration, commercial awareness, and writing skills.