[Hiring] Field CTO @Nebius

Role Description

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:

• Architecture conversation with CTOs and heads of research infrastructure.
• Technical content of regulated-buyer diligence.
• Reference architectures for financial workloads.
• Product requirements that come out of the field.

Financial institutions buy AI infrastructure differently from most customers. You will earn the trust of both kinds of buyers and help make Nebius an approved supplier to financial institutions.

You will work alongside the Head of Financial Services, Sales, Security and GRC, Product, and Engineering. The role begins as a hands-on individual contributor, with a clear path to building and leading forward deployed engineers as the vertical scales.

This is a ground-floor opportunity to define how financial institutions run AI in production on a specialized AI cloud.

You are welcome to work remotely from the United States (New York City preferred). Travel expectations are 10% to 20% for customer visits, executive meetings, and key industry events.

Your responsibilities will include:

• Executive Technical Leadership: 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.
• Lighthouse Deal Support: Partner with Sales leadership on strategic financial services deals, including workload-level cost comparisons against on-premises and hyperscaler options.
• Regulated-Buyer Diligence: Work with Security, GRC, and Legal to turn our SOC 2 Type II and ISO 27001 certifications into answers that third-party risk teams accept.
• Architectural Guidance: Define reference architectures for financial workloads.
• Technical Product Strategy: Translate what you learn in accounts into prioritized, evidence-backed requirements for Product, Engineering, and Infrastructure teams.
• Field Enablement: Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials.
• Ecosystem & M&A: Partner with ecosystem vendors to identify integration opportunities and evaluate potential technical M&A targets.
• Team Building: Build and lead forward deployed engineers as the vertical grows.

Qualifications

• 10+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain, including 5+ years in AI, ML, or MLOps.
• Prior experience in a senior technical leadership role, such as Field CTO, CTO, or technical co-founder of a fintech or AI-native company.
• Dual Competency: Ability to draw a distributed system on a whiteboard for engineers and explain its value and risk profile to a CIO or a Chief Risk Officer.
• GTM Fluency: Experience partnering with Sales to close large enterprise deals.
• Product-Minded Leadership: Defined requirements from field evidence and shaped platform strategy.
• Mastery of the Stack: Expert-level knowledge of GPU architectures, Kubernetes, and Slurm orchestration.
• Inference Optimization: Understanding of model serving nuances.
• Financial Services Fluency: First-hand experience in capital markets, bank or insurer AI platforms, or AI-native fintech.
• Builder Mentality: Pursue your own point of view on AI infrastructure without waiting for direction.
• Public Technical Voice: Conference talks, writing, or open-source work that shows credibility.
• Communication: Strong executive presence.
• Comfort in Ambiguity: Experience operating in fast-moving environments.

Requirements

• Hands-on experience with quantitative research infrastructure, low-latency trading systems, or model risk management in a regulated institution.
• Familiarity with hybrid and on-premises GPU environments financial institutions run.
• Strategic Empathy: Ability to distinguish customer needs.

Benefits

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term, and life insurance coverage.
• Pay Transparency: Competitive compensation and benefits packages.
• Base Compensation Range: $210,000 — $260,000 USD.
• Benefits & Perks: Competitive compensation, career growth and learning opportunities, flexibility and ownership, collaborative culture, impactful AI projects, international environment.