Top Tech Jobs & Startup Jobs in NYC, NY

Owns product management for Business Cards and Payments, translating customer needs and business strategy into consumer-facing digital products. The role requires human-centered problem solving, technology-driven innovation, cross-functional leadership, risk mitigation, and execution excellence. Candidates should demonstrate interest in AI, including use of AI development tools, personal projects, or AI-agent automations.

Leads product strategy and execution for servicing experiences and platforms at Capital One. The role modernizes banking operations through self-service, automation, money movement, messaging, AI-enabled discovery, experimentation, and cross-functional operating models. Responsibilities include building digital product strategies, improving customer and associate experiences, leading product managers and extended teams, driving data-informed decisions, and delivering operational efficiency. Candidates need product management experience, strategic and analytical skills, digital product expertise, and team management experience.

Supports multiple executives through complex calendar management, travel coordination, expense reporting, team events, meeting planning, information sharing, and cross-team relationship building. Serves as an executive gatekeeper and team ambassador in a fast-paced environment, requiring adaptability, resourcefulness, strong judgment, communication, organization, and attention to detail.

Own and prioritize product roadmaps for business cards and payments. Translate business epics into features and user stories, define acceptance criteria, validate hypotheses with data, and collaborate with designers, engineers, data scientists, and stakeholders in an agile environment. The role emphasizes customer-centered product development, emerging AI technologies, platform strategy, risk management, and communicating product direction across teams.

Twelve-week, full-time AI Engineering internship focused on building agentic AI applications and scalable AI infrastructure. Interns will prototype and productionize multimodal search, document processing, autonomous workflows, model training and inference optimization, guardrails, and evaluation frameworks. The role involves collaboration with research scientists, product managers, and engineers while using technologies such as PyTorch, AWS Ultraclusters, and agentic frameworks. Applicants must be current master's students continuing their degree program.

Twelve-week paid PhD internship focused on researching, prototyping, and productionizing AI systems and agentic workflows. Interns will build multimodal search, document-processing, autonomous-agent, training, inference, guardrail, and evaluation capabilities. The role involves collaborating with research scientists, product managers, and engineers while using cloud infrastructure, PyTorch, and agentic frameworks to deliver scalable AI products.

Manages second-line oversight of network participant and operational risks within Capital One’s Global Payments Network. Responsibilities include developing testing and monitoring strategies, analyzing data, challenging first-line risk decisions, validating controls, documenting findings, identifying trends, and supporting remediation plans. The role also contributes to risk policies, issue and event analysis, stakeholder collaboration, and executive guidance across risk management functions.

Lead products within Capital One’s Payments Intelligence platform, managing spend-data organization, enhancement, resilience, performance, and quality. Develop and execute strategic roadmaps, prioritize features using business and customer insights, collaborate cross-functionally, monitor product metrics, and drive continuous improvement. The role requires technology-driven product leadership, integrated problem solving, and alignment across teams delivering data products, APIs, and analytics capabilities.

Leads product design strategy and hands-on craft across concierge and premium card experiences. Establishes AI-driven design workflows, prototypes innovative digital experiences, mentors designers, raises organizational design capabilities, and partners with research, product, engineering, marketing, and analytics leaders. Translates customer insights, business strategy, and technical constraints into scalable, human-centered products while influencing senior stakeholders and long-term product direction.

Lead a data science team building scalable AI and machine learning solutions for customer-facing financial products. Develop and fine-tune NLP and large language models, manage model training, evaluation, validation, and production deployment, and partner with engineering, product, and design teams. Apply emerging generative AI technologies at scale while mentoring talent, translating technical findings into business outcomes, and delivering resilient systems for millions of customers.