Top Tech Jobs & Startup Jobs in NYC, NY

Leads product management for Capital One’s Customer Identity and Core team, overseeing enterprise systems that manage customer, business, and device data. Drives customer-focused digital product strategy, technology innovation, security, business growth, and cross-functional organizational alignment. Translates business strategy into scalable consumer experiences and foundational identity capabilities.

Leads enterprise product management and experience strategy at Capital One. Reimagines customer and internal experiences, identifies value creation opportunities, translates business strategy into digital products, leverages technology, solves complex problems, mitigates product risks, and aligns cross-functional teams to deliver innovative and sustainable outcomes.

Design, develop, deploy, and support scalable AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize AI infrastructure for cost, latency, throughput, reliability, and hardware utilization. Define system architectures and SLOs, lead technical reviews, ensure security and compliance, contribute to long-term AI platform strategy, and mentor engineering colleagues.

Leads process management and operational improvement initiatives across Network Risk Operations. Partners with stakeholders to identify business needs, analyze trends and risks, and implement solutions involving process changes, dashboards, digital tools, automation, AI, and enablement. Establishes governance, prioritization, and controls while driving scalable solutions, stakeholder alignment, adoption, and measurable improvements across cross-functional teams.

Build and architect native Android mobile applications and shared components for large-scale customer experiences. Collaborate with engineering, design, product, infrastructure, and backend teams on roadmaps, performance, accessibility, CI/CD, observability, reliability, and release practices. Serve as a mobile technical expert, develop multi-team architecture, establish cross-platform standards, leverage agentic AI tools, and mentor engineers in AI-native development workflows.

Lead product strategy and development for emerging enterprise payment and money movement products. Drive payment modernization and real-time payment capabilities while translating customer and business needs into digital products. Lead cross-functional teams of product managers, designers, engineers, data scientists, and analysts; manage product risks, organizational alignment, execution, and people development.

Designs, develops, deploys, and optimizes production AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. The role establishes AI cost-performance standards, leads technical design reviews, contributes to platform roadmaps, optimizes model and hardware utilization, and mentors senior AI engineers while delivering scalable and responsible AI capabilities.

Leads large-scale technical programs for AI and ML platforms, coordinating researchers, engineers, business leaders, and cross-functional teams from concept through production. The role manages technical risks, delivery commitments, stakeholder alignment, and execution across distributed systems and real-time data platforms. It also establishes and grows the technical program management discipline, mentors TPMs, and guides senior leadership decisions in a highly regulated banking environment.

Lead the engineering organization responsible for large-scale generative AI training infrastructure, including distributed training, reinforcement learning, GPU scheduling, fault tolerance, model experimentation, and cost governance. Define AI platform strategy, responsible AI standards, observability, governance, and long-term roadmaps. Partner with research, product, compliance, and risk teams while hiring, mentoring, and developing technical talent across multiple teams.

Leads personal loan acquisition data science, developing and deploying machine learning models for customer targeting, campaign optimization, underwriting, pricing, and verification. Partners with data scientists, engineers, and product managers; analyzes large-scale numeric and textual data using Python, Spark, AWS, and related technologies; validates and backtests models; translates technical findings into business outcomes; and develops team talent.