Senior Sales Engineer - Token FactoryNebius · Remote; United States

Senior Sales Engineer - Token Factory

🗓️ Posted 2026-09-01 Remote; United States Hybrid Sales
💰 Salary Not shared 📊 Market NA

About the Company

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers, Nebius tackles hard problems across compute, storage, networking, and applied AI, from large-scale GPU orchestration to inference optimization. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, Nebius has a global footprint with R&D hubs across Europe, the UK, North America, and Israel. Their team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software, and AI R&D.

About the Role

We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not always guarantee production success. This role exists to ensure that what we commit to with customers is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing revenue quality, engineering focus, product evolution, and customer trust at scale. You're welcome to work remotely from the United States.

Responsibilities

  • ● Lead deep technical discovery with engineering teams and technical founders.
  • ● Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies.
  • ● Translate customer ambition into production-feasible architecture.
  • ● Identify hidden technical risks early.
  • ● Partner tightly with Sales on strategic deals.
  • ● Influence deal strategy through architectural clarity.
  • ● Prevent misaligned commitments before engineering allocation.