Senior Sales Engineer

Job not on LinkedIn

🕒 March 7

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

AI • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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 • Increase PoC-to-production conversion by ensuring technical realism • 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 • 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

🎯 Requirements

• 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.

🏖️ Benefits

• 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.