Top Tech Jobs & Startup Jobs in NYC, NY

Lead strategic experience design initiatives across Chase Travel products and services. Develop design and research strategies, service flows, wireframes, prototypes, and accessible customer experiences. Partner with product, data, and technology teams to deliver measurable business value. Drive adoption of inclusive design and emerging AI-enabled design practices, evaluate new technologies, mentor designers, and establish innovative ways of working across customer, agent, and partner-facing tools.

Manages a portfolio of 70–90 small-business clients, acquiring and retaining relationships while providing customized banking, deposit, cash management, credit, and financial solutions. Conducts in-person client and prospect meetings, identifies business and personal financial needs, connects clients with specialists, and supports branch growth. Applies business credit, finance, and risk-management knowledge while following regulatory requirements and protecting the firm’s interests.

Develop and improve identity data products covering verification, resolution, identity graphs, and consent management. Partner with technology, design, modeling, and data teams to execute roadmaps, measure product health and business outcomes, establish governance and privacy controls, manage identity data risks, and communicate strategy and tradeoffs to senior stakeholders.

Lead FP&A activities for expenses and headcount, including budgeting, forecasting, financial reporting, variance analysis, performance metrics, business cases, and profitability modeling. Partner with CFOs and senior leaders to provide strategic insights, improve efficiency, design dashboards, enhance controls, streamline processes, and introduce automation. Deliver executive presentations and oversee month-end results, forecasts, and annual budgets.

Lead strategy and execution for machine learning-powered personalization and next-best-action products across digital, contact center, branch, and marketing channels. Translate research and analytics into roadmaps, requirements, experiments, and backlog priorities. Collaborate with data science, engineering, channel, and business teams across model development and deployment. Support scalable data platforms, assistant memory and context capabilities, monitoring, and responsible data practices involving privacy, consent, and fairness.

Leads machine learning-powered personalization and next-best-action products across digital and service channels. Translates user research, analytics, and customer feedback into product roadmaps, requirements, user stories, experiments, and backlog priorities. Collaborates with product, design, data science, engineering, and channel teams to deliver recommendation and agentic assistant capabilities, manage model lifecycle requirements, measure outcomes, and support scalable API- and event-driven data products while ensuring privacy, consent, fairness, and compliance.

Support Private Client Advisors by handling account openings, money movements, and trades; assist with client relationship management, account reviews, performance reporting, and lead generation; follow risk management and compliance procedures; prioritize tasks, meet deadlines, and contribute to team culture.

Lead Card Data & Analytics strategy and a multi-layered analytics organization to deliver AI/ML solutions (including generative and agentic AI). Set analytical direction, partner with cross-functional teams to productionize models, drive experimentation and causal measurement, build competitive intelligence, and develop talent and operating practices to inform product, pricing, and customer experience decisions.

Designs, develops, and maintains full-stack services using Java, Spring Boot, TypeScript, and APIs. Builds microservices and reactive systems, deploys cloud-native applications on AWS, and manages infrastructure as code. Leads secure adoption of AI-assisted engineering practices, including validation, testing, troubleshooting, and code improvement. Applies 12-factor principles, implements CI/CD and observability tooling, and executes performance and load testing. Preferred work includes multi-agent environments, Agent2UI, A2A protocols, and LLMs.

Conduct portfolio, stress, and scenario analyses to evaluate counterparty exposures across derivatives and securities financing. Execute regulatory stress testing submissions, analyze outputs, monitor risk metrics, investigate concentrations and exposure trends, prepare responses for regulators and management, and collaborate with credit, technology, quant, product, and reporting teams to improve risk metrics, automation, and data quality.