Field CTO, Financial Services AI Infrastructure

Job description

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. 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: Nebius is building the AI infrastructure that financial institutions will run AI on in production, from quantitative research and real-time risk to agentic workflows in banks and insurers. The Field CTO for Financial Services is a senior technical leadership role at the intersection of production GPU infrastructure and the regulated business of financial services. You will lead the technical side of the vertical: the architecture conversation with CTOs and heads of research infrastructure, the technical content of regulated-buyer diligence, the reference architectures for financial workloads, and the product requirements that come out of the field. Financial institutions buy AI infrastructure differently from most customers. Quantitative funds and AI-native fintechs buy GPU capacity directly and judge it on price-performance, availability, and how the cluster behaves un…