Sales Engineering

Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale.

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 operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing:

Revenue quality

Engineering focus

Customer trust at scale

You’re welcome to work remotely from the United States.

Lead deep technical discovery with engineering teams and technical founders

Translate customer ambition into production-feasible architecture.

Identify hidden technical risks early

Commercial Acceleration

Partner tightly with Sales on strategic deals

Prevent misaligned commitments before engineering allocation

Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)

Drive structured Go / No-Go decisions

Pattern Recognition & Platform Leverage

Identify recurring configuration patterns across customers

Surface structured insights to Product and Engineering

Help evolve platform capabilities based on real workload data

Experience with LLM workloads and performance-sensitive environments

Strong customer presence with engineering-first organizations

Commercial awareness – you understand that engineering time is a strategic resource

Programming Languages– Python

Frameworks for Agentic Pipelines : API and Web Frameworks– FastAPI, Flask

MLOps and DevOps tools– Kubernetes (K8s), Docker, Git

Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)

Strategic deals are technically sound before engineering engagement

Engineering capacity is allocated predictably

Customers view you as a trusted architectural advisor

Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.

Up to 4% company match with immediate vesting.

Remote work reimbursement: Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

We offer competitive salaries, ranging from $152k - 228k base + RSU's and performance bonus's.

Flexible working arrangements.