Top Tech Jobs & Startup Jobs in NYC, NY

Drive strategy and analytics for enterprise AI coding tools. Define usage, cost, effectiveness, and adoption metrics; analyze telemetry and business data; build scalable QuickSight reporting; ensure data quality and consistent definitions; partner with analysts, engineers, and product teams; and translate complex findings into executive-ready narratives, presentations, and actionable business recommendations.

Lead creative strategy and execution for Retail Bank and Café marketing across digital, email, direct mail, video, and out-of-home channels. Manage creative employees, contractors, and agencies; coach talent; collaborate with marketing and business partners; interpret research and testing results; develop customer-focused campaigns; and present strategies to influence stakeholders. Candidates must provide a creative portfolio and apply evidence-based marketing, personalization, optimization, and emerging AI capabilities.

Leads second-line compliance advisory and effective challenge for Capital One’s network and merchant businesses. Assesses laws, regulations, and emerging risks; develops network payments compliance expertise; supports new products, business expansions, and downstream entities; and collaborates with Business Risk, Legal, Audit, and senior leaders to strengthen the compliance and risk management framework.

Lead product management for enterprise data capabilities, guiding teams that build data-domain tooling, data asset management experiences, and adoption of governed Data Products. Bridge engineering and business strategy, streamline delivery, establish co-development models, support legacy-to-target architecture transitions, integrate AI technologies, and scale a trustworthy data ecosystem. Drive customer-focused innovation, business outcomes, technology resilience, integrated problem-solving, and cross-functional organizational alignment.

Manage daily treasury operations including cash positioning, reconciliations, funding execution, rewards funding, bank administration, and reporting. Perform financial analysis, track transactional exceptions, maintain segregation-of-duties controls, and support cross-functional teams. Improve treasury workflows, operational tooling, and scalable processes while providing accurate information for senior leadership decision-making.

Leads multiple software engineering teams responsible for AML technology, including detection, investigation, and reporting platforms. Drives engineering strategy, architecture, cloud deployment, modernization from monoliths to microservices, system resilience, scalability, and operational excellence. Partners with product and executive leaders, mentors engineers and managers, oversees talent strategy, and advances generative and agentic AI innovation across full-stack development.

Leads a team of product designers building internal AI-powered platforms. Defines enterprise GenAI experience strategy, manages the design backlog, partners with product and engineering leaders, develops design talent, and shapes product direction through human-centered research, design expertise, and business insight. The role requires strong product design, prototyping, stakeholder communication, strategic planning, and people leadership skills in a hybrid environment.

Provides strategic legal counsel to Network Marketing, Brand, and Communications teams; manages legal reviews, improves review processes, partners cross-functionally, and oversees outside counsel on complex matters. Requires a Juris Doctor, active state bar membership, and at least six years of attorney experience. The role is hybrid and focuses on payments, marketing, brand, and communications legal matters.

Lead the Personal Loans Revenue and Valuations Finance team, driving strategy, valuation, forecasting, budgeting, reporting, variance analysis, and financial modeling. Partner with senior business leaders to influence decisions, automate and improve finance processes, manage operating expenses, and develop a high-performing finance team.

Conduct applied AI research focused on foundation models, evaluation, and agentic workflows. Build, train, validate, and deploy large-scale deep learning models using technologies such as PyTorch, AWS, Hugging Face, and Lightning. Lead research initiatives, develop platform and solution-level code, scale models for production, collaborate with engineering and product teams, and translate research findings into customer-facing AI products.