Tech Stack

Description

You will serve as a foundational technical partner to customers and a force multiplier for Sales and Engineering, shaping complex AI workloads from discovery through production feasibility validation. You'll ensure technical rigor, economic viability, and scalable architecture decisions, influencing revenue quality, engineering focus, product evolution, and customer trust.

Requirements

• Deep understanding of AI inference systems and GPU-backed infrastructure
• Experience with LLM workloads and performance-sensitive environments
• Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM)
• Ability to reason about latency, throughput, cost, and architecture

Responsibilities

• Lead deep technical discovery with engineering teams and technical founders
• Translate customer ambition into production-feasible architecture and identify hidden risks
• Partner tightly with Sales on strategic deals and influence deal strategy through architectural clarity
• Define measurable success criteria (latency, TTFT, throughput, cost envelope) for PoCs
• Identify recurring configuration patterns across customers and surface insights to Product and Engineering