Top Tech Jobs & Startup Jobs in NYC, NY

The Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and optimize large language models for performance and scalability.

Lead FP&A for Capital Markets and Tax Credit businesses, managing a team to deliver financial planning, forecasting, reporting, and strategic analysis. Provide data-driven insights to advise business leaders, prioritize investments, assess risks and opportunities, and present recommendations to senior leadership. Drive quality reporting, cross-functional partnership, and long-term value creation while contributing to global finance initiatives in talent, technology, and process improvement.

This role involves leading the development of AI-powered products, optimizing large scale AI systems, and mentoring cross-functional teams. It focuses on designing and deploying AI components, contributing to the technical vision, and applying cutting-edge AI techniques.

As a Senior Lead Data Engineer at Capital One, you'll lead a development team, utilizing various big data and cloud technologies to deliver impactful solutions. Responsibilities include collaborating with Agile teams, mentoring, and ensuring optimal code performance.

The role involves analyzing data, building AI models, and collaborating with cross-functional teams to create AI-powered banking products.

Develop, validate, and implement machine learning models using big-data tools and cloud platforms. Partner with engineers and product managers to translate analytics into production products, analyze large numeric and textual datasets, and communicate findings to drive business decisions for commercial banking portfolio forecasting.

Lead technical strategy and architectural evolution in marketing technology, mentoring teams and driving innovative solutions across data engineering and platforms.

The Manager, Cyber Product Owner drives product vision and manages cybersecurity solutions, collaborating with engineering teams, communicating roadmaps, and leveraging technical expertise to enhance capabilities and meet customer needs.

The Lead Machine Learning Engineer will design, build, and productionize ML applications, oversee model performance, collaborate with teams, and ensure reliable deployment of ML systems at scale.

Lead the Card Platforms and Data team, overseeing product design, collaborating with stakeholders, and driving design excellence and business outcomes. Advocate for high-leverage opportunities, foster a community of designers, and manage cross-functional collaborations to enhance customer experiences.