Top Tech Jobs & Startup Jobs in NYC, NY

Lead the Value Optimization team within Enterprise Consumer Products, maximizing the value of digital experiences and marketing through experimentation and model-decisioning platforms. Drive high-volume testing, personalization, and data-driven customer journeys. Apply customer-focused, business-oriented, technology-driven, integrated problem-solving, and transformational leadership principles to deliver innovative product solutions and align cross-functional teams.

Design, build, and lead scalable cloud data pipelines, platforms, and end-to-end data solutions. The role involves distributed data engineering, data modeling, relational and NoSQL databases, real-time processing, warehousing, architecture decisions, and evaluating platforms such as Snowflake and Databricks. Responsibilities also include mentoring engineers, enforcing engineering standards, collaborating across Agile teams, and delivering transformative data initiatives independently.

Leads product management for Capital One’s Consumer and Developer Experience organization. Owns strategy and execution for marketing, messaging, personalization, experience platforms, and customer-facing digital capabilities. Translates customer needs and business strategy into technology-driven products, coordinates cross-functional teams, solves complex problems, and drives organizational alignment, innovation, and measurable customer outcomes.

Lead debit customer experience product strategy across activation, engagement, and retention. Prioritize customer and business opportunities, partner with Design on UX research, and collaborate with technology teams on delivery. Lead cross-functional teams, translate strategy into digital products, solve complex problems, manage product risks, and drive organizational alignment and transformational outcomes.

Leads enterprise Know Your Customer and Anti-Money Laundering advisory governance as a second-line risk manager. Oversees KYC programs, acquired portfolios, regulatory changes, audits, remediation, risk forums, control development, and AML change initiatives. Advises business lines, challenges risk management practices, coordinates cross-functional stakeholders, presents program health to leadership, and strengthens Customer Due Diligence frameworks, training, and regulatory compliance.

Leads product strategy and execution for Capital One’s global payment network, including digital wallets, tokenization, Click to Pay, issuer relationships, authorizations, settlement, disputes, pricing, and go-to-market capabilities. Drives scalable, consistent, reliable payment experiences through cross-functional leadership, customer-centered problem solving, technology, data, process improvements, and AI-enabled innovation.

Leads applied AI research and development for foundation models and large-scale machine learning systems. Partners with data scientists, engineers, product managers, and academic researchers to define research directions, train and evaluate models, optimize inference and training, and deploy AI capabilities into products. Mentors applied scientists and managers, represents the organization externally, and translates advanced research into scalable customer experiences.

Analyzes business challenges and opportunities for Capital One Shopping, developing strategic recommendations, product and pricing models, credit risk models, marketing insights, and monitoring plans. Leads cross-functional initiatives with IT, Sales, Operations, and Finance to improve growth, profitability, customer experiences, and credit performance. Requires strong quantitative analysis, communication, business judgment, and execution skills.

Lead product management for Capital One’s developer experience platform and CI/CD capabilities. Identify developer pain points, shape multi-year platform strategies, advocate for customer needs, and partner with engineering and stakeholders to deliver secure, reliable, automated, and scalable cloud solutions. The role also involves leading DevOps product strategies, enterprise platform initiatives, risk management, and emerging technology experimentation.

Design, develop, deploy, and support scalable AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize model performance, cost, latency, throughput, and hardware utilization; define reliability objectives; own complex system architecture; lead technical reviews; ensure security and compliance; and mentor engineering associates.