Top Tech Jobs & Startup Jobs in NYC, NY

Develop strategies and analytics to prioritize Checking and payment experiences, build product and pricing strategies, create business cases, assess customer needs, and measure outcomes. Partner with product, marketing, fraud, IT, sales, operations, and finance teams to execute go-to-market initiatives. Lead credit risk analysis, manage concurrent projects, communicate with executives, and potentially mentor or manage analysts.

Conduct research and develop machine learning solutions involving embeddings, foundation models, transformer models, and customer behavioral analytics. Build, evaluate, validate, and operationalize models using large-scale transaction and textual data. Partner with engineering, product, and business teams to improve customer experiences and outcomes across marketing, servicing, and fraud prevention. Analyze data with Python or Scala, Spark, AWS, and relational databases.

Build, deploy, scale, and maintain production machine learning models and platforms. Responsibilities include designing ML systems, developing data pipelines, operating distributed systems and cloud infrastructure, automating testing and deployment, monitoring and retraining models, and applying responsible AI practices. The role collaborates with Product and Data Science teams and uses Python, Java, Scala, or related languages.

Leads cybersecurity risk advisory and governance for global payment networks. Assesses technology systems, threats, vulnerabilities, controls, and business impact; prioritizes mitigation strategies; advises executives; evaluates regulatory and industry changes; and recommends policy and control improvements. Uses reporting tools and spreadsheets to analyze risk metrics, communicate findings, manage action plans, and escalate issues. The role also supports cyber resilience, vulnerability assessment reporting, stakeholder engagement, and lifecycle program management.

Lead modernization of marketing technology capabilities for card partnership products, including partner access, scalable infrastructure, personalization, experimentation, and AI capabilities. Own the martech vision and experimentation agenda while collaborating with marketing, operations, business, and enterprise stakeholders to deliver customer-focused digital products and outcomes.

Leads creative teams and delivers elevated design across paid social, display, email, web, and SEM. Develops design systems, integrates AI tools, guides internal and agency partners, and translates research and business goals into effective marketing creative. Collaborates with digital, marketing, operations, and legal teams while presenting ideas, influencing stakeholders, and optimizing work through testing and audience insights.

Design product experiences across interaction, visual, and service design. Create journey maps, blueprints, high-fidelity designs, prototypes, and design-system artifacts. Champion customer needs through research, data, business strategy, and technical constraints. Collaborate with product, technology, and business partners, facilitate design activities, communicate decisions, and identify opportunities using emerging technologies.

Conduct applied AI research and build foundation models through design, training, evaluation, validation, and deployment. Lead research initiatives spanning large-scale deep learning, language models, optimization, fine-tuning, and production inference. Collaborate with data scientists, software and ML engineers, product managers, and business leaders to translate research into scalable AI products and customer experiences.

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

Lead strategic business analysis and growth initiatives for Capital One’s Global Payment Network. Responsibilities include developing business, product, pricing, marketing, credit-risk, and financial strategies; managing P&L-related objectives; leading analysts; coordinating cross-functional execution; overseeing projects; and using quantitative and qualitative analysis to improve profitability, customer experiences, and partner performance.