Lead Sales Engineer (AI)

Location: Remote - United States

Base compensation: $228,000–$285,000 USD per year

Company

Nebius builds a full-stack AI cloud platform for data and model training, inference, and production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

• Lead, coach, mentor, hire, and develop a high-performing Sales Engineering team.
• Set standards for technical discovery, architecture reviews, PoC qualification, production readiness, and escalation.
• Serve as the senior technical advisor on strategic customer opportunities involving LLM workloads and GPU-backed infrastructure.
• Translate customer requirements into production-feasible architectures while evaluating latency, throughput, reliability, utilization, dependencies, and cost.
• Partner with Sales, Product, ML Solution Architecture, and Engineering on deal governance, resource allocation, and PoC-to-production conversion.
• Identify recurring workload and architecture patterns, quantify demand for inference optimizations, and influence platform priorities.

Requirements

• Deep understanding of AI inference systems and GPU-backed infrastructure.
• Significant experience with LLM workloads and performance-sensitive environments.
• Experience with inference frameworks and libraries including vLLM, SGLang, and TensorRT-LLM.
• Strong ability to reason about latency, throughput, GPU utilization, cost, and architecture trade-offs.
• Experience leading or managing Sales Engineers, Solution Architects, or similar customer-facing technical teams.
• Demonstrated success in complex enterprise or developer-focused technical sales cycles, with credible communication across technical and executive stakeholders.

Culture & Benefits

• Competitive compensation and benefits.
• Career growth and learning opportunities.
• Flexibility and ownership in a fast-moving organization.
• Collaborative, innovative, and international environment.
• Opportunity to work on impactful AI projects with experienced engineering and AI R&D teams.
• Applicants must be authorized to work in the United States and provide proof of employment eligibility.