{bc}
greenhouse

Senior Sales Engineer

Nebius
Remote, USA
Full-time
Senior
Remote
USD 152000-228000 yearly / year
Discovered 1 weeks ago
PythonvLLMSGLangTensorRT-LLMLangchainLangsmith
Free

Job Fit Check

Base Career helps you apply smarter for this job.

?%
Ready to Scan

Key skills for this role

PythonvLLMSGLang
Smart Apply

Full Job Posting

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

Customer trust at scale

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

Your responsibilities will include

  • Strategic Technical Discovery
  • 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
  • Commercial Acceleration
  • Partner tightly with Sales on strategic deals
  • Influence deal strategy through architectural clarity
  • Prevent misaligned commitments before engineering allocation
  • Increase PoC-to-production conversion by ensuring technical realism
  • PoC Architecture & Validation
  • Define measurable success criteria (latency, TTFT, throughput, cost envelope)
  • Classify workload complexity and required optimization depth
  • Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.)
  • Drive structured Go / No-Go decisions
  • Prevent uncontrolled customization or hidden R&D
  • Pattern Recognition & Platform Leverage
  • Identify recurring configuration patterns across customers
  • Quantify demand for advanced optimizations (quantization, speculative decoding, etc.)
  • Surface structured insights to Product and Engineering
  • Help evolve platform capabilities based on real workload data

We expect you to have

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 tradeoffs

Strong customer presence with engineering-first organizations

Comfort challenging assumptions and pushing back constructively

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

Preferred Technical Stack

Programming Languages– Python

Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs

Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent

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)

What Success Looks Like

Strategic deals are technically sound before engineering engagement

PoCs are clearly scoped and economically justified

Engineering capacity is allocated predictably

Conversion to production improves

Customers view you as a trusted architectural advisor

Key employee benefits in the US

  • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) plan: Up to 4% company match with immediate vesting.
  • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote work reimbursement: Up to $85/month for mobile and internet.
  • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

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

What we offer

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.
  • We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Nebius