9 days ago
Remote, United States or New York, NY, USAStaff+
Base Salary
$210k - $260k/yr
Responsibilities
- Serve as the executive technical lead for financial services customers, partners, and ecosystem stakeholders.
- Lead architecture workshops, technical discovery, workload demonstrations, and strategic financial services deal support.
- Translate SOC 2 Type II, ISO 27001, DORA alignment, data residency, tenant isolation, key management, audit logging, resilience, and portability requirements into diligence responses and product requirements.
- Define reference architectures for quantitative research, backtesting, real-time risk and fraud inference, LLM and agentic workflows, and fine-tuning on sensitive data.
- Convert field insights into prioritized requirements for Product, Engineering, and Infrastructure teams.
- Create technical narratives, reference architectures, and training materials for sales engineers and sellers.
- Develop ecosystem and potential technical M&A opportunities with data, governance, trading, risk, and systems-integration partners.
- Build and lead forward deployed engineers as the financial services vertical grows.
Requirements
- 10+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a related technical domain, including 5+ years in AI, ML, or MLOps.
- Prior senior technical leadership experience such as Field CTO, CTO, technical co-founder, head of quant or ML platform, or principal-level financial services architect.
- Production-grade expertise with GPU architectures, Kubernetes, Slurm, Soperator, high-performance and parallel file systems, InfiniBand, and Ethernet.
- Strong knowledge of model serving, batch sizes, quantization, KV caching, throughput, and latency optimization.
- Experience partnering with Sales on enterprise deals, enabling field teams, shaping product strategy, and defining requirements from field evidence.
- Financial services experience in capital markets, quant research infrastructure, bank or insurer AI platforms, AI-native fintech, or a cloud or GPU provider.
- Working knowledge of regulated-buyer concerns including data residency, third-party and concentration risk, and model risk management such as SR 11-7.
- Public technical credibility through conference talks, writing, or open-source work, plus strong executive communication and influence.
- Preferred qualifications include quantitative research infrastructure, low-latency trading systems, model risk management, hybrid or on-premises GPU environments, and the ability to choose between raw cluster access and managed endpoints.
Benefits
- Remote work is available in the United States, with New York City preferred; travel is expected at 10%–20%.
- Company-paid medical, dental, and vision coverage is available for employees and families.
- The 401(k) plan offers up to a 4% company match with immediate vesting.
- Paid parental leave provides 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
- Remote work reimbursement is available up to $85 per month for mobile and internet expenses.
- Company-paid short-term, long-term, and life insurance coverage is provided.
- The role offers career growth, learning opportunities, ownership, and the opportunity to shape AI infrastructure for financial services.
Tech Stack
Categories
Solutions Engineering
About Nebius
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.