Top Tech Jobs & Startup Jobs in NYC, NY

Design, develop, deploy, and maintain production machine learning models and infrastructure. Build optimized data pipelines, distributed systems, cloud-based architectures, and automated testing and deployment processes. Monitor and retrain models, ensure responsible and explainable AI practices, and collaborate with Product, Data Science, and Agile engineering teams to deliver scalable ML solutions.

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, and hardware utilization. Own complex system architecture, define reliability objectives, lead technical reviews, ensure security and compliance, contribute to long-term AI platform strategy, and mentor engineering colleagues.

Leads technical vision and architecture for customer resiliency systems. Designs scalable, operable solutions; modernizes monoliths into microservices and event-driven platforms; establishes API and engineering standards; and contributes hands-on across the software lifecycle. Collaborates with senior leaders, mentors engineers, drives cross-divisional initiatives, promotes engineering excellence, and advises on enterprise architecture, cloud computing, data architecture, performance, and scalability.

Lead cloud infrastructure strategy and innovation, including cloud connectivity, landing zones, platform management, modernization, networking, security, identity, and automation. Define technical vision and API standards, guide enterprise architecture, improve large-scale distributed systems, and promote AI-enabled engineering workflows. Mentor engineers, lead cross-domain initiatives, influence technology strategy, and ensure reliable, secure, scalable cloud operations.

Lead end-to-end product strategy and delivery for Capital One’s payments platform, including customer and agent experiences, orchestration, backend services, data, real-time payments, and digital wallets. Own the product capabilities roadmap, balance near-term integrations with long-term vision, identify customer and business value, and align cross-functional partners across Legal, Compliance, Risk, and business teams.

Lead enterprise product management and experience strategy at Capital One. Reimagine customer and internal experiences, identify value-creation opportunities, translate business strategy into digital products, leverage technology, solve complex problems, mitigate product risks, and align cross-functional teams to deliver transformational outcomes.

Leads the administration, governance, and strategic roadmaps for enterprise content platforms, including DAM, CMS, and Claims Library tools. Manages a team, establishes operating rhythms, oversees performance management, and partners with product and technology leaders across the organization. The role aligns platform priorities with Capital One’s marketing technology architecture, drives platform transformation, and supports automation and GenAI integration within a regulated financial-services environment.

Leads growth, profitability, product strategy, pricing, marketing, credit-risk analytics, merchant partnerships, and cross-functional execution for Capital One Shopping. Develops business strategies, builds requirements, oversees projects, manages analysts, and uses quantitative and qualitative analysis to improve products and customer experiences. Requires strong leadership, communication, decision-making, and analytical skills, with an interest in applying AI to business challenges.

Leads product strategy and roadmap delivery for Capital One’s Internal Ledger and credit card account lifecycle. Identifies use cases, analyzes customer and business needs, partners with engineering and architecture teams on pilots and feature rollouts, and drives technical problem-solving. The role requires cross-functional alignment, process simplification, data-backed recommendations, executive communication, delivery against timelines, and mentoring of product team members.

Design, develop, optimize, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, model evaluation, orchestration, governance, and observability. Lead cost-performance optimization across production AI platforms, establish engineering standards, contribute to technical roadmaps, lead design reviews, and mentor senior AI engineers. Collaborate with research, engineering, program management, and product teams to deliver scalable, responsible AI products.