高级技术项目经理(区域交付)
Senior Technical Project Manager (Region Delivery)
关于Nebius:
Nebius正在引领全球AI经济的云基础设施新纪元。我们构建了一个全栈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的全流程,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,面向工程师。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领域都负责解决难题。
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研发方面具有深厚专业知识的工程师。
职位描述:
我们正在寻找一位高级技术项目经理加入我们的区域交付团队。您将负责新计算区域的端到端交付——从硬件交接、验收测试到生产就绪,需在严格的时间限制内协调硬件、网络、容量和平台工程团队。
您的职责包括
- 从启动到生产交接,负责区域和GPU集群部署项目的交付
- 协调容量验收流程:在区域上线客户前,验证基础设施可用性、配额分配、监控/告警功能,并完成文档签署
- 协调各工程团队(计算、存储、网络、GPU)的验收测试,并明确各团队之间的测试责任
- 在实际部署期间担任实时问题升级点——通过联系正确的值班团队,解决如硬件故障、配置问题或容量冲突等阻塞问题
- 定义并维护参与交付的团队之间的清晰合同和责任分工,以减少跨团队的模糊性和摩擦
- 推动重复性部署和验收测试工作的持续改进与自动化
- 进行结构化、高信息量的状态沟通,确保相关方始终了解部署进展
我们期望您具备:
- 在基础设施、云或数据中心环境中领导技术项目或工程团队的丰富经验
- 同时协调多个工程团队并推动共识的能力,即使没有正式权威
- 在压力下保持冷静、果断的沟通能力,包括在实际事件发生时
查看英文原文
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role:
We are looking for a Senior Technical Project Manager to join our Region Delivery team. You will own the delivery of new compute regions end to end — from hardware handover through acceptance testing to production readiness — coordinating across hardware, networking, capacity, and platform engineering teams under tight timelines.
Your responsibilities will include
- Owning delivery of region and GPU cluster deployment projects from kickoff through production handover
- Coordinating the capacity acceptance procedure: validating infrastructure availability, quota allocations, monitoring/alerting, and documented sign-off before a region goes to customers
- Coordinating acceptance testing across engineering teams (compute, storage, networking, GPU) and clarifying test ownership between them
- Acting as the real-time escalation point during live deployments — resolving blockers such as hardware failures, provisioning issues, or capacity conflicts by engaging the right on-call teams
- Defining and maintaining clear contracts and responsibilities between the teams involved in delivery to reduce cross-team ambiguity and friction
- Driving continuous improvement and automation of repetitive deployment and acceptance-testing work
- Running structured, high-signal status communications so stakeholders always know where a deployment stands
We expect you to have:
- Proven experience leading technical projects or engineering teams, ideally in infrastructure, cloud, or datacenter environments
- Demonstrated ability to coordinate across many engineering teams simultaneously and drive alignment without formal authority
- Calm, decisive communication under pressure, including during live incidents
- Strong bias toward clear ownership and documentation over ad hoc firefighting
- Fluent English
It would be a strong advantage if you have:
- Experience with cloud/compute capacity management or GPU infrastructure
- Background in large-scale datacenter rollouts
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.