Top Tech Jobs & Startup Jobs in NYC, NY

Design, develop, deploy, and optimize large-scale AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, and multi-model orchestration. Lead cost-performance governance, technical design reviews, AI engineering standards, and long-term platform strategy. Apply state-of-the-art optimization techniques to improve model scalability, latency, throughput, hardware utilization, and cost. Mentor senior technical leaders and collaborate with engineers, scientists, product managers, and program managers.

Owns product discovery, delivery, iteration, requirements gathering, user research, engineering translation, and roadmap prioritization for Capital One’s enterprise risk management, compliance, and ethics products. The role partners across product, data, technology, design, engineering, and business stakeholders to develop customer-focused digital solutions, solve complex problems, mitigate product risks, and lead transformational initiatives.

Own the product roadmap, shared platform capabilities, standards, and applications supporting CreditWise financial products. Partner with engineering, technical program management, analysts, legal, risk, compliance, and enterprise teams to deliver resilient, scalable digital experiences. Translate customer and business needs into product solutions, drive cross-functional alignment, manage product risks, and deliver high-impact consumer financial experiences.

Own adoption, scaling, and standardization of enterprise payment experiences. Partner with customers, designers, technologists, data scientists, and stakeholders to define product roadmaps, acceptance criteria, features, user stories, and MVP tests. Use data and customer research to prioritize solutions, manage risk, collaborate in agile environments, and deliver digital payment platforms that improve customer and business outcomes.

Develop the strategic direction for Capital One’s AI and machine learning platforms. Identify customer and business outcomes, define reusable capabilities, create strategy materials, align senior leaders and stakeholders, and support implementation and continuous improvement of platform capabilities. The role requires strategic thinking, quantitative analysis, communication, influence, and collaboration across business and AIML teams.

Leads a small data science team and cross-functional initiatives transforming bank claims management through machine learning and agentic workflows. Responsibilities include data exploration, model development, evaluation, validation, deployment, roadmap development, stakeholder influence, and establishing datasets, tools, and evaluation protocols for enterprise AI. The role remains hands-on while providing strategic oversight and developing team talent.

Leads Anti-Money Laundering and Compliance & Ethics product design portfolios, managing 10–12 designers and defining design strategy for complex, regulated workflows. Partners with research, product, technology, risk, legal, and compliance stakeholders to create clear, data-dense experiences for financial crime investigation and compliance. Oversees design quality, team development, cross-functional collaboration, business alignment, and delivery across product, service, content, UX, and UI design.

Lead product development for a unified enterprise data ecosystem, aligning product, engineering, design, ML, and risk partners. Build data platforms (OneStream, One Lake), improve data trust via automation, scale data products, expand external data use, and deliver real-time intelligent experiences while driving cross-functional alignment and execution.

Leads data science initiatives for commercial banking by developing and validating machine learning models, conducting statistical analysis and back-testing, modernizing data infrastructure, and building analytical tools for risk, underwriting, portfolio management, and client-focused products.

Lead strategic and analytical initiatives for Capital One’s Global Payment Network. Responsibilities include developing growth, pricing, product, marketing, and credit-risk strategies; managing business requirements and multiple programs; partnering across technology, sales, operations, and finance; and coaching analysts. The role requires strong quantitative analysis, executive communication, business judgment, people leadership, and the ability to execute in a fast-paced financial-services environment.