
Field CTO, Financial Services AI Infrastructure
Posted 13 hours ago

Posted 13 hours ago
This is a fully remote position, open to applicants in New York.
• Act as the technical representative of Nebius for clients in the financial services sector, including customers, partners, and ecosystem stakeholders.
• Facilitate architecture workshops and technical discovery sessions with CTOs, heads of quantitative and machine learning platforms, and CIOs.
• Collaborate with Sales leadership to secure strategic financial services agreements.
• Perform workload-level cost assessments comparing on-premises solutions with hyperscaler alternatives.
• Engage with Security, GRC, and Legal teams on due diligence for regulated buyers.
• Address various concerns such as data residency, tenant isolation, key management, audit logging, evidence of resilience, concentration risk, and plans for exit and portability.
• Identify technical gaps and communicate them to the Product team as requirements.
• Establish reference architectures for quantitative research, real-time risk and fraud inference, LLM and agentic workflows, and fine-tuning processes involving sensitive data.
• Convert insights from accounts into prioritized requirements for Product, Engineering, and Infrastructure teams.
• Develop technical narratives, reference architectures, and training materials for Field Solutions Architects and sales teams.
• Collaborate with ecosystem vendors to uncover integration possibilities and assess potential technical M&A targets.
• Build and lead engineers in forward-deployed roles as the vertical expands.
• Over 10 years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical field.
• More than 5 years in AI, ML, or MLOps with experience in production or large-scale systems.
• Previous experience in a senior technical leadership position, such as Field CTO, CTO, technical co-founder, head of quant or ML platform, or principal architect.
• Proven track record of collaborating with Sales to finalize large enterprise contracts and empowering field teams with technical resources.
• Experience in defining requirements based on field insights and shaping platform strategy accordingly.
• Expert-level, production-grade knowledge of GPU architectures, Kubernetes, and Slurm orchestration, including Soperator.
• Familiarity with high-performance and parallel file systems.
• Understanding of InfiniBand and Ethernet networking limitations.
• Knowledge of model serving, batch sizes, quantization, KV caching, and latency tradeoffs.
• Direct experience in at least one technical domain within financial services.
• Working knowledge of regulated-buyer evaluations, covering data residency, third-party and concentration risk, and model risk management expectations.
• Conference presentations, publications, or contributions to open-source projects that demonstrate technical credibility.
• Strong executive presence with the ability to influence product teams and leadership effectively.
• Experience working in fast-paced environments.
• Must possess authorization to work in the United States.
• Preferred: hands-on experience with quantitative research infrastructure, low-latency trading systems, or model risk management within a regulated institution.
• Preferred: familiarity with hybrid and on-premises GPU setups.
• Comprehensive company-paid medical, dental, and vision coverage for employees and their families.
• 401(k) plan featuring up to a 4% company match and immediate vesting.
• 20 weeks of paid parental leave for primary caregivers.
• 12 weeks of paid parental leave for secondary caregivers.
• Remote work reimbursement up to $85 per month for mobile and internet expenses.
• Company-funded short-term, long-term, and life insurance coverage.
• Opportunities for career growth and professional development.
• Flexibility and ownership in work assignments.
• A collaborative and innovative workplace culture.
• The chance to engage in impactful AI projects.
• An international environment with talented teams.
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