Solutions Engineer (AI Infrastructure)

TL;DR

Solutions Engineer (AI Infrastructure): Leading technical discovery and driving pre-sales evaluations for a scaled AI infrastructure platform with an accent on GPU-based systems and LLM orchestration. Focus on designing and executing complex POCs, translating technical requirements into business outcomes, and building repeatable technical sales motions.

Location: North America Remote or San Francisco, CA

Company

Seed-stage AI infrastructure startup providing scaled compute and orchestration for frontier labs and enterprises.

What you will do

• Partner with Sales to qualify opportunities, lead technical discovery, and define evaluation plans.
• Design and deliver tailored technical demos for both engineering and executive audiences.
• Own the end-to-end technical POC process, including scope definition, architecture, and production handoff.
• Develop solution designs that optimize for latency, throughput, cost, reliability, and security.
• Create high-quality enablement assets like reference architectures, playbooks, and FAQs.
• Provide high-signal feedback to Product and Engineering teams based on customer objections and market gaps.

Requirements

• 5+ years in a customer-facing technical role, with 2+ years specifically in pre-sales.
• Strong knowledge of AI/ML infrastructure, GPU-based systems, and HPC environments.
• Deep understanding of training, fine-tuning, and inference for open-source LLMs.
• Proficiency in Python and JavaScript for building API prototypes.
• Experience with Kubernetes, SLURM, Docker, and IaC tools like Ansible.
• Must be based in North America (Remote) or San Francisco, CA

Nice to have

• Experience selling or supporting AI infrastructure products (compute, orchestration, observability).
• Expertise in performance benchmarking and cost modeling for GenAI systems.
• Previous experience working in a fast-paced startup environment.

Culture & Benefits

• Front-row seat to the AI wave, supporting customers building frontier-scale systems.
• Significant direct impact on company revenue and strategic account growth.
• Opportunity to define the technical sales playbooks and SE motion from the ground up.