Top Tech Jobs & Startup Jobs in NYC, NY

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Designs cloud-based solutions using Java, Python, AWS, APIs, databases, Docker, Kubernetes, and related technologies. Collaborates with product managers, mentors engineers, evaluates emerging technology, and delivers enterprise platforms supporting regulatory and customer needs.

Lead product development for Small Business Bank money-movement capabilities. Define vision, prioritize roadmaps, break epics into MVP features, collaborate with designers, engineers and data scientists, run experiments using data-driven hypotheses, and align stakeholders to deliver customer-centric digital payments and servicing solutions.

Leads product management for Capital One’s Depersonalization Ecosystem, developing technology that depersonalizes sensitive data for modeling and analysis while maintaining compliance and security. The role requires customer-focused product strategy, business and technology leadership, integrated problem solving, risk mitigation, and cross-functional organizational alignment. Candidates need a quantitative, business, or marketing degree, or a bachelor’s degree with at least three years of product management experience.

Leads enterprise controls lifecycle management and governance for cyber and technology risk. Oversees control design assessments, data quality metrics, regulatory and audit responses, risk professional teams, automation initiatives, and program delivery. Partners across first- and second-line risk functions to maintain compliant, accurate, and effective controls, while preparing senior leadership and Board reporting.

Leads Card Technology Strategy by shaping strategic agendas, developing business and product strategies, analyzing lending and credit risk, managing projects, and partnering with senior stakeholders across technology, product, finance, sales, and operations. The role may manage analysts, oversee P&L-related planning, guide marketing and customer experience initiatives, build business requirements, and drive execution across multiple programs.

Supports multiple senior executives through complex calendar management, travel coordination, expense reporting, team events, information distribution, and relationship building. The role requires strong organization, communication, judgment, adaptability, multitasking, and proficiency with office productivity and collaboration tools.

Lead the design, development, deployment, and support of scalable AI platform components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize AI training and inference for latency, throughput, cost, and hardware utilization. Partner with engineering, research, product, and program teams while contributing to technical strategy and mentoring stakeholders.

Lead the design, development, deployment, and support of foundational AI systems, including LLM inference, model training, similarity search, guardrails, evaluation, governance, and observability. Drive build-versus-buy decisions, optimize production AI systems for scalability, cost, latency, and throughput, and shape long-term technical roadmaps. Manage, mentor, and grow an engineering team while partnering with scientists, product managers, and technical program managers.

Leads product management strategy and cross-functional teams to identify customer needs, create business value, drive technology-enabled innovation, and deliver sustainable digital products and experiences. The role requires transformational leadership, integrated problem-solving, business execution, and alignment across organizational stakeholders. Candidates must have at least seven years of product management experience and a bachelor’s degree; experience translating strategy into consumer-facing digital products is preferred.

Lead product management for Capital One Shopping’s growth business, owning merchant onboarding and activation experiences, consumer incentives, revenue opportunities, tooling, prioritization, business cases, and cross-functional engineering execution. Use SQL, Excel, financial modeling, experimentation, and AI-driven approaches to build, test, optimize, and scale digital product experiences and investment decisions.