Senior Sales Engineer

Vaga não está no LinkedIn

🕒 Março 7

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $152.000 - $228.000 / ano

⏰ Tempo Integral

🟠 Sênior

💸 Engenheiro de Vendas

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Nebius Group

Nebius Group

1001 - 5000 funcionários

🏢 Corporativo

☁️ SaaS

AI • Enterprise • SaaS

O Nebius Group está construindo uma das principais empresas de infraestrutura de IA do mundo, focando em fornecer os recursos de computação, armazenamento e ferramentas necessários para desenvolvedores no espaço de IA. Com sede na Europa e listado na Nasdaq, o Nebius tem uma presença global com centros de P&D em toda a Europa, América do Norte e Israel. A principal oferta da empresa é uma plataforma de nuvem centrada em IA projetada para cargas de trabalho intensivas de IA, complementada por vários outros negócios envolvidos em desenvolvimento de IA generativa, edtech e tecnologia autônoma.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.

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