Field CTO, Financial Services AI Infrastructure

Job not on LinkedIn

🔥 15 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $210k - $260k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👨‍💼 Chief Technology Officer (CTO)

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Serve as the technical face of Nebius to financial services customers, partners, and ecosystem stakeholders • Lead architecture workshops and technical discovery with CTOs, heads of quant and ML platforms, and CIOs • Partner with Sales leadership on strategic financial services deals • Conduct workload-level cost comparisons against on-premises and hyperscaler options • Work with Security, GRC, and Legal on regulated-buyer diligence • Address data residency, tenant isolation, key management, audit logging, resilience evidence, concentration risk, and exit and portability plans • Flag technical gaps and bring them to Product as requirements • Define reference architectures for quantitative research, real-time risk and fraud inference, LLM and agentic workflows, and fine-tuning on sensitive data • Translate account insights into prioritized requirements for Product, Engineering, and Infrastructure • Create technical narratives, reference architectures, and training materials for Field SAs and sellers • Partner with ecosystem vendors to identify integration opportunities and evaluate potential technical M&A targets • Build and lead forward deployed engineers as the vertical grows

🎯 Requirements

• 10+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain • 5+ years in AI, ML, or MLOps with exposure to production or large-scale systems • Prior experience in a senior technical leadership role, such as Field CTO, CTO, technical co-founder, head of quant or ML platform, or principal-level architect • Experience partnering with Sales to close large enterprise deals and enabling field teams with technical assets • Experience defining requirements from field evidence and shaping platform strategy • Expert-level, production-grade knowledge of GPU architectures, Kubernetes and Slurm orchestration including Soperator • Knowledge of high-performance and parallel file systems • Knowledge of InfiniBand and Ethernet networking constraints • Understanding of model serving, batch sizes, quantization, KV caching, and latency tradeoffs • First-hand experience in at least one financial services technical domain • Working knowledge of regulated-buyer reviews, including data residency, third-party and concentration risk, and model risk management expectations • Conference talks, writing, or open-source work demonstrating technical credibility • Strong executive presence and ability to influence product teams and leadership • Experience operating in fast-moving environments • Must be authorized to work in the United States • Preferred: hands-on experience with quantitative research infrastructure, low-latency trading systems, or model risk management in a regulated institution • Preferred: familiarity with hybrid and on-premises GPU environments

🏖️ Benefits

• 100% company-paid medical, dental, and vision coverage for employees and families • 401(k) plan with up to 4% company match and immediate vesting • 20 weeks paid parental leave for primary caregivers • 12 weeks paid parental leave for secondary caregivers • Remote work reimbursement up to $85/month for mobile and internet • Company-paid short-term, long-term, and life insurance coverage • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams

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