Top Tech Jobs & Startup Jobs in NYC, NY

Lead Capital One’s High Brand Risk and Prohibited Activity Monitoring programs for the global payments ecosystem. Manage risk specialists, develop transaction monitoring and enforcement frameworks, assess anomalies and transaction laundering, oversee governance and quality assurance, and improve investigation workflows and technology integrations. Partner with executives, payment schemes, acquirers, vendors, and cross-functional teams to manage regulatory, legal, and reputational risks while leading teams across strategy, investigations, operations, and program administration.

Leads large-scale technical programs and platform initiatives aligned with business objectives. Establishes TPM operating models, maturity frameworks, tooling, roadmaps, and delivery mechanisms across portfolios. Drives architectural alignment, platform standardization, dependency sequencing, risk escalation, and measurable outcomes involving availability, scalability, cost efficiency, and developer velocity. Influences senior technology leaders, manages cross-functional commitments, and develops TPM capabilities across the organization.

Lead large-scale full-stack engineering initiatives, guide multiple development teams, and shape architecture and technology strategy. Design and implement reliable cloud-native systems using distributed microservices, modern programming languages, databases, containers, and cloud platforms. Partner with product and architecture leaders, establish engineering standards, mentor senior engineers, drive observability and performance improvements, and deliver solutions supporting regulatory and customer needs.

Build and lead a global participant consultation function within payment network risk operations. Develop fraud mitigation, authorization optimization, chargeback reduction, and risk strategies using transactional data. Partner with executives, clients, and technical teams; oversee international commercial execution, governance, executive communications, and cross-functional programs. Recruit and manage a high-performing team while establishing performance metrics and operating processes. Travel up to 20% is required.

Leads enterprise AI engineering strategy and multi-team delivery of scalable, responsible AI systems. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and production optimization. Establishes responsible AI standards, makes technology decisions, develops long-term platform roadmaps, partners with research and risk teams, and attracts and mentors engineering talent.

Lead AI use-case strategy and the end-to-end pipeline from ideation through production for Global Payment Network. Oversee a centralized knowledge base and context engine spanning code, documentation, policies, and controls. Partner with cross-functional teams to gather requirements, validate content, support agentic development, and improve traceability. Define adoption and ROI metrics, guide pilot-to-production delivery, and create scalable AI enablement playbooks while balancing innovation with governance and compliance.

Design, develop, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agents, vector search, guardrails, evaluation, governance, and observability. Optimize models and infrastructure for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI cost-performance governance, lead technical design reviews, shape foundational AI roadmaps, and mentor senior AI engineering leaders.

Leads multiple technology projects and engineering teams developing large-scale, distributed, cloud-native systems for risk and regulatory management. Provides technical leadership in architecture, platform roadmaps, reliability, performance, and shared services. Builds full-stack solutions using modern programming languages, cloud platforms, microservices, databases, containers, and AI-enabled tools. Mentors engineers, drives technology strategy, establishes engineering standards, and partners with product leaders and architects across the organization.

Leads product strategy and execution for Capital One’s sensitive data ecosystem and AI/ML platforms. The role supports environments used to build, train, and deploy machine learning and generative AI models while addressing scalability, resiliency, governance, privacy, security, and regulatory compliance. Responsibilities include translating business needs into platform products, partnering with engineering, risk, security, data science, and software teams, and driving cross-functional execution of enterprise-grade capabilities.

Leads development of new and emerging products across the full stack, using AI-native practices and cloud technologies. Provides technical direction to full-stack engineers, makes architecture decisions, partners with product and design teams, and establishes engineering standards for scalable, reliable systems. The role involves coding, API and database development, cloud solutions, CI/CD, observability, mentoring, and cross-functional technical leadership.