Top Tech Jobs & Startup Jobs in NYC, NY

Owns product management for Small Business Bank associate servicing, partnering with technology, operations, and business teams to improve servicing tools and customer experiences. The role focuses on understanding associate and customer needs, translating strategy into digital products, leveraging AI, solving complex problems, managing product risks, and leading cross-functional initiatives. Candidates need a quantitative, business, or marketing degree, or a bachelor's degree with at least three years of product management experience.

Design, build, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize AI systems for cost, latency, throughput, scalability, and hardware utilization. Own complex architectures, define reliability objectives, lead technical reviews, ensure security and compliance, and mentor engineering teams.

Own and prioritize product feature roadmaps for US Card digital experiences. Collaborate with technology, design, data science, and business teams to define research, acceptance criteria, epics, features, and user stories. Apply data-driven hypotheses to validate customer and business needs, manage risk, and deliver MVPs in an agile environment. Communicate product strategy and roadmaps while influencing cross-functional stakeholders and building innovative customer experiences.

Leads product management for Capital One’s US Card business, identifying customer value opportunities and delivering innovative digital products. The role requires human-centered design, business strategy, technology-driven solutions, integrated problem-solving, risk mitigation, and transformational leadership across cross-functional teams.

Lead engineering projects and developers building full-stack, cloud-based solutions with distributed microservices. Design service boundaries and reusable frameworks, establish engineering standards, mentor engineers, improve system performance, reduce technical debt, and evaluate emerging technologies. Work with Python, Go, Kubernetes, Docker, databases, AWS, and other cloud platforms in an Agile environment supporting AI/ML platforms and regulatory needs.

Leads product management for Capital One’s US Card business, identifying customer and business opportunities, translating strategy into consumer-facing digital products, and driving innovative solutions through technology. The role requires cross-functional leadership, integrated problem solving, customer focus, business execution, and alignment across teams. Candidates need a quantitative, business, or marketing degree, or a bachelor’s degree with at least three years of product management experience.

Leads product strategy and operations for AI/ML platforms, enabling associates to build, train, deploy, and scale models and generative AI applications. Defines roadmaps, prioritization, operational frameworks, and strategic planning processes while advocating for data scientists and engineers. Manages teams, partners with Product, Engineering, TPM, and business functions, oversees concurrent programs, and applies analytics to product, marketing, and credit risk decisions.

Leads enterprise AI engineering strategy and multi-team execution. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and production optimization. Makes technology decisions, scales reusable AI infrastructure and responsible AI practices, partners with research and risk teams, and develops engineering talent. Requires strong hands-on expertise in AI systems, cloud deployment, model optimization, and organizational leadership.

Own the Rewards Ledger product, defining strategy, roadmap, technical requirements, and delivery from discovery through launch. Partner with engineering, architects, and adjacent product teams to ensure scalability, availability, auditability, and data accuracy. Translate ambiguous business and technical challenges into actionable requirements, manage Agile execution, and evaluate post-release outcomes for a high-volume rewards platform.

Conduct technology audits covering cloud infrastructure, application controls, cybersecurity, risk management, and third-party management. Perform risk assessments, execute testing, document audit evidence, communicate findings, track remediation, and use data analytics during audit planning and fieldwork. The role requires independent execution, strong stakeholder relationships, continuous learning, and coaching within a collaborative technology audit team.