出海雷达

技术客户经理

Technical Account Manager

AI市场运营职能支持未标注地域
公司Nebius
薪资未公开
工作地点Worldwide
地域资格未标注地域
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间14 天前
数据来源Himalayas
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关于Nebius:

Nebius正在引领全球AI经济的云基础设施新纪元。我们正在构建一个全栈AI云平台,支持开发者和企业从数据和模型训练到生产部署,而无需承担构建大型内部AI/ML基础设施的成本和复杂性。

由工程师打造,为工程师服务。从大规模GPU编排到推理优化,我们在计算、存储、网络和应用AI方面都解决难题。

在纳斯达克上市(NBIS),总部位于阿姆斯特丹,我们在欧洲、英国、北美和以色列设有研发中心,拥有全球业务覆盖。我们的团队超过1500人,包括数百名在硬件、软件和AI研发方面有深厚专业知识的工程师。

职位描述
我们正在寻找一名技术客户经理(TAM),加入Token Factory团队,帮助客户成功地从概念验证过渡到生产环境,并在Nebius基础设施上扩展他们的AI工作负载。
该职位处于工程、交付和客户成功交叉点——确保销售前承诺的内容在生产环境中可靠运行。你将与客户工程团队、解决方案架构师以及产品/基础设施团队紧密合作,推动稳定、高性能且成本高效的部署。

此职位不是:
· 销售角色(尽管你会通过价值支持扩展)
· 纯粹的支持角色(你不会只是响应工单)
· 解决方案架构师角色(你不会从零开始设计系统)

欢迎你在美国远程办公。
你的职责将包括:

  • 负责生产流程
  • • 领导从PoC到生产的过渡
  • • 确保客户工作负载已部署、稳定且可扩展
  • • 推动生产时间和价值时间
  • 确保生产中的技术成功
  • • 理解客户架构和用例
  • • 监控并改进:
  • o 性能(延迟、吞吐量)
  • o 成本效率
  • o 可靠性
  • • 主动识别并解决瓶颈
  • 作为值得信赖的技术合作伙伴
  • • 与客户工程团队直接合作
  • • 提供最佳实践和优化建议
  • • 将技术挑战转化为可操作的解决方案
  • 管理风险和事件
  • • 作为生产问题的主要技术联系人
  • • 协调内部团队解决事件
  • • 在高压情况下清晰沟通
  • 推动持续改进
  • • 识别机会
查看英文原文

Why work at NebiusNebius 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.

Where we workHeadquartered 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 1400 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.

The role
We're looking for a Technical Account Manager (TAM) to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure.
This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments.
This role is NOT:

  • A sales role (though you will support expansion through value)
  • A pure support role (you won’t just react to tickets)
  • A solution architect role (you won’t design systems from scratch)

You’re welcome to work remotely from Europe.
Your responsibilities will include:

  • Own the production journey
  • • Lead the transition from PoC to production
  • • Ensure customer workloads are deployed, stable, and scalable
  • • Drive time-to-production and time-to-value
  • Ensure technical success in production
  • • Understand customer architectures and use cases

• Monitor and improve:

o performance (latency, throughput)

o cost efficiency
o reliability
• Identify and resolve bottlenecks proactively

  • Act as a trusted technical partner
  • • Work directly with customer engineering teams
  • • Provide guidance on best practices and optimisation
  • • Translate technical challenges into actionable solutions
  • Manage risks and incidents
  • • Act as a primary technical contact for production issues
  • • Coordinate with internal teams to resolve incidents
  • • Communicate clearly during high-pressure situations
  • Drive continuous improvement
  • • Identify opportunities to optimise and expand usage
  • • Provide structured feedback to Product and Infrastructure teams
  • • Help shape better solutions based on real customer needs

We expect you to have:

  • Technical background
  • • Solid understanding of:
  • o cloud or infrastructure systems
  • o distributed systems or high-load applications
  • o AI/ML workloads (LLMs, inference, etc.) is a strong plus
  • • Ability to troubleshoot and reason about system performance
  • Customer-facing experience
  • • Experience working directly with technical customers (e.g. engineers, ML teams)
  • • Ability to communicate complex topics clearly and effectively
  • Ownership & execution
  • • Strong sense of ownership – you drive outcomes, not just tasks
  • • Ability to manage multiple customers and priorities
  • • Structured, proactive, and solution-oriented mindset

It will be an added bonus if you have:

  • Experience with GPU workloads or AI infrastructure
  • Familiarity with inference frameworks (e.g. vLLM, TensorRT, etc.)
  • Background in solutions engineering, SRE, or technical support in B2B environments

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!

Originally posted on Himalayas

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