Remote Lead Sales Engineer – AI Inference Platform

Nebius; United States; Remote; USD 228,000 - 285,000; Full time

Benefits offered by this job

Competitive pay

Career growth and learning

Flexible work ownership

Collaborative and innovative culture

International environment

Impactful AI projects

Job summary

Nebius is hiring a Lead Sales Engineer to lead and develop our Sales Engineering function while guiding strategic, technically complex deals. This player-coach role combines hands-on architecture leadership with people management for a team of Sales Engineers in a remote US-based setup.

You will collaborate with Sales, Product, and Engineering to ensure PoCs are production-ready, architect scalable solutions, and move opportunities from PoC to production with a clear focus on revenue quality and

Qualifications

• Deep understanding of AI inference systems and GPU-backed infrastructure.
• Experience with LLM workloads and performance-sensitive environments.
• Proven ability to lead, mentor, or manage Sales Engineers or similar teams.

Responsibilities

• Lead, coach, and develop a high-performing Sales Engineering team.
• Set expectations for technical quality, customer engagement, and commercial impact.
• Provide hands-on technical mentorship and support growth of team members.
• Establish standard approaches to PoC qualification, architecture reviews, and production readiness.

Skills

AI inference systems

LLM workloads

GPU infrastructure

Sales leadership

Customer engagement

Architecture leadership

Enterprise sales

Tools

vLLM

TensorRT-LLM

SGLang

Job description

Nebius is hiring a Lead Sales Engineer to lead and develop our Sales Engineering function while guiding strategic, technically complex deals. This player-coach role combines hands-on architecture leadership with people management for a team of Sales Engineers in a remote US-based setup.

You will collaborate with Sales, Product, and Engineering to ensure PoCs are production-ready, architect scalable solutions, and move opportunities from PoC to production with a clear focus on revenue quality and