Top Tech Jobs & Startup Jobs in NYC, NY

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.

Assess and evaluate cybersecurity tools and configurations to identify risks and gaps, recommend mitigations, and support continuous improvement. Collaborate with engineering, product, and risk teams to communicate findings, lead enterprise risk reduction efforts, and apply risk frameworks, monitoring artifacts, and compliance methodologies to strengthen the organizations security posture.

Lead strategy, product, marketing, and credit-risk analytics for premium card products. Develop pricing and product strategies, build risk models, guide go-to-market, manage projects, and mentor 1–2 analysts while partnering across IT, sales, operations, and finance.

Lead design, develop, deploy, and support large-scale AI systems (foundation model training, LLM inference, vector search, guardrails, observability). Partner cross-functionally to optimize performance, scalability, and cost, and shape long-term foundational AI technical vision and roadmap.

Design, build, deploy, and maintain production ML systems and data pipelines at scale. Lead cross-functional teams to implement ML architectures, ensure model performance and governance, automate CI/CD for models, and leverage cloud platforms and ML frameworks to deliver reliable, explainable solutions.

Lead analytical efforts to inform product, pricing, marketing, and credit risk strategies. Build and test models, perform SQL-based analysis, develop recommendations, drive implementation with cross-functional partners, and monitor results to improve profitability and customer experience.

Lead design, build, deploy, and support GenAI platform services (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, collaborate cross-functionally, contribute to technical vision and roadmap.

The Manager of Ontology and Data Modeling develops and maintains ontologies, collaborates across teams, supports semantic technology integration, and manages teams focused on data modeling to achieve enterprise initiatives.

Lead and mentor a team delivering cloud-based, microservices solutions to meet regulatory needs. Collaborate with product managers, design and evaluate code, and build scalable backend systems using modern languages, databases, containers, and cloud services. Promote tech experimentation, community participation, and occasional hands-on coding.

Conduct daily trade surveillance and deep-dive investigations across Broker-Dealer and Swap Dealer businesses to detect market abuse (spoofing, wash trading, layering, front-running). Tune and test surveillance logic, reconcile data feeds, support UAT, maintain audit-ready documentation, produce metrics, and support regulatory inquiries and audits while collaborating with Compliance, Product, Technology, Risk, and business teams.