✦ Luna Orbit — Cloud & Infrastructure

Senior Sales Engineer

at Nebius

📍 Remote, US Remote 💰 $152K – $228K USD / year Posted March 07, 2026
Salary $152K – $228K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Cloud & Infrastructure

This role involves building and supporting scalable AI inference platforms, working closely with customers to ensure successful deployment of AI workloads in cloud environments.

  • Lead technical discovery with customers
  • Design scalable AI architectures
  • Validate PoC success criteria
  • Collaborate with sales and engineering
  • Drive platform strategy

Focuses on AI infrastructure, cloud platforms, GPU utilization, latency optimization, and scalable architecture design for AI workloads.

The ideal candidate is a senior sales engineer with extensive experience in AI infrastructure, cloud computing, and scalable architecture. They possess strong technical discovery skills and a proven ability to influence sales and engineering teams to deliver production-ready AI solutions.

Deep technical discoveryAI infrastructurescalable architecturePoC to productioncustomer engagement
GPU capacity planningquantizationspeculative decodingplatform strategyperformance optimization
AI inference platformGPUcloud platforms
AI inference platformcloud computingGPUlatencycost-sensitive workloadsarchitecture designPoCproduction feasibilityscalable architecturecustomer trust
AI inference platformcloud computingGPUlatencycost-sensitive workloadsarchitecture designPoC (Proof of Concept)production feasibilityscalable architectureAI infrastructuremodel requirementstraffic expectationslatency constraintsGPU economicssystem dependencies
technical discoverycustomer collaborationstrategic thinkingproblem-solvingcommunicationinfluencecross-team collaboration
Industry Technology / Cloud Computing
Job Function Technical sales and architecture design for AI cloud infrastructure
Senior Sales EngineerAI inference platformcloud computingGPUlatencyPoCproduction feasibilityscalable architecturecustomer trustsalesengineeringarchitectureAI infrastructuremodel requirementstraffic expectationscost envelopecustomer engagementarchitecture designcost-sensitive workloads

Lack of experience in AI infrastructure, No experience with scalable architecture, Unable to operate remotely from the US

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