Field CTO, Financial Services AI Infrastructure

Nebius Group

. Serve as the technical face of Nebius to financial services customers, partners, and ecosystem stakeholders .

Posted 11/4/2026full-timeRemote • New York • United StatesSeniorLead💰 $210,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in cloud infrastructure, AI, and ML, with a strong focus on financial services. Proven ability to lead technical discovery, define architecture, and influence product strategy while collaborating with sales and engineering teams.

Highest-signal resume keywords

Cloud Infrastructure ExpertiseAI And ML ExperienceTechnical LeadershipGPU Architecture KnowledgeFinancial Services Domain Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud InfrastructurePlatform EngineeringDistributed SystemsAIMachine LearningMLOpsKubernetesSlurm OrchestrationModel ServingQuantitative Research Infrastructure

Soft Skills

Executive PresenceInfluencing SkillsCollaboration

Tools & Technologies

GPU ArchitecturesInfiniBandEthernet NetworkingHybrid GPU EnvironmentsLow-Latency Trading Systems

Industry Keywords

Financial ServicesRegulated-Buyer DiligenceData ResidencyModel Risk ManagementAudit Logging

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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