Top Tech Jobs & Startup Jobs in NYC, NY

Own operational execution for Learning & Development products: translate associate experiences into vendor decisions, prioritize feature roadmaps, break epics into MVP user stories, partner with designers, engineers and data to deliver and iterate enterprise learning platforms, and communicate roadmaps and metrics to stakeholders.

Ten-week, full-time paid Data Science internship for current PhD students. Interns will build and evaluate modeling and analytics tools, integrate internal and external data sources, design data science models, and communicate results. Candidates must continue their PhD after the internship and may be evaluated for full-time roles upon graduation.

Lead end-to-end delivery of enterprise translation projects by enforcing standardized processes and tools, managing stakeholders, facilitating meetings, and driving continuous process improvements to ensure timely, high-quality multilingual content.

Lead L&D product strategy and roadmap to enable associate growth. Define measurable business cases, align Talent and Performance priorities, lead cross-functional teams, track outcomes, and recommend investments to scale high-impact learning experiences.

Lead product work for Offers Payments within Customer Resiliency: define roadmaps, break down epics into MVP features and user stories, prioritize delivery, collaborate with engineers, designers, data scientists and stakeholders, use data-driven hypothesis testing, manage risk, and drive agile execution to build customer-focused payment and relief experiences.

Lead product efforts to modernize credit bureau reporting by guiding tech teams to build in-house solutions, partnering with process, ops, risk and data stakeholders, leveraging AI and data to simplify workflows, and delivering customer-focused, technology-driven product improvements across the Card business.

Ten-week, full-time paid Data Science internship (June–August 2027) working on machine learning, deep learning, and large-scale data analysis. Interns evaluate modeling tools, integrate internal and external data/APIs, design data science models, and present insights to stakeholders. In-person attendance at an assigned U.S. location is required; interns may be considered for full-time roles after graduation.

Design and deliver human-centered digital and physical product experiences. Collaborate with cross-functional partners to create journey maps, blueprints, high-fidelity designs and prototypes, apply design systems, and balance customer needs with business and technical constraints. Present work, influence outcomes, and drive design quality and scalability.

As a Senior Manager, Data Scientist, you will lead a team to develop generative AI solutions and build machine learning models, enhancing customer experiences and operational efficiency.

Lead a cross-functional team to deliver AI-powered banking products, focusing on developing and supporting AI software components and optimizing LLM technologies.