Top Tech Jobs & Startup Jobs in NYC, NY

Leads technology domain delivery strategy across a portfolio of platforms and services. Partners with engineering executives to manage asset inventories, architecture reviews, roadmaps, capacity, risks, and investment priorities. Uses platform health metrics and dashboards to improve delivery, SaaS adoption, operational performance, and data integrity. The role requires executive communication, technology strategy expertise, portfolio management, and the ability to drive enterprise-wide transformation across complex initiatives.

Leads the Business Travel product design team, setting design vision and strategy for complex, high-impact experiences. Oversees interdisciplinary designers across UX, UI, service, content, and research; partners with product, technology, marketing, and analytics leaders; and drives customer-centered solutions from strategy through market delivery. The role requires influencing senior stakeholders, developing business-aligned design decisions, fostering an inclusive team culture, and advancing design practices, systems, tools, and capabilities.

Develop and execute strategic direction for Capital One’s Cloud Operations & Resilience Engineering division. Partner with executive technology and product leaders, shape go-to-market and stakeholder communications, prepare strategy forums and business reviews, guide organizational change, manage complex projects and risks, and identify AI tools to improve operational effectiveness.

Build and lead development of an enterprise AI platform supporting large-scale AI-assisted analysis. Responsibilities include designing, developing, testing, deploying, and supporting foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. The role also requires advancing LLM optimization for scalability, latency, throughput, hardware utilization, and cost while shaping the long-term roadmap for foundational AI systems and mentoring engineering teams.

Leads technical vision and engineering excellence for a cloud-native global payments network. Designs and reviews resilient, secure, scalable, low-latency systems; decomposes complex problems; supports cloud modernization and new payment capabilities; mentors engineers; shares technical knowledge; and advises teams on architecture, performance, scalability, operability, and production-quality implementation.

Lead the design, development, deployment, and support of foundational AI systems, including LLM inference, model training, similarity search, guardrails, evaluation, governance, and observability. Optimize production AI systems for scalability, cost, latency, throughput, and hardware utilization. Partner with engineers, scientists, program managers, and product managers while shaping the technical vision and roadmap for responsible AI platforms.

Own the end-to-end Workforce Management product suite supporting forecasting, capacity planning, scheduling, routing, and real-time operations. Lead and mentor Product Managers, define product strategy and roadmaps, prioritize portfolio investments, manage vendor relationships, and partner with engineering and enterprise data teams on architecture, data pipelines, integrations, and deployments. Translate technical constraints and business objectives for executives while driving measurable improvements in agent experience, customer satisfaction, and operational efficiency.

Design, develop, test, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize large-scale AI systems for scalability, latency, throughput, hardware utilization, and cost. Partner with engineering, research, product, and program teams; contribute to technical vision and roadmap; and lead or influence teams developing responsible cloud-based AI solutions.

Own the end-to-end lifecycle of Card IVR voice self-services, transforming customer experiences through AI-driven conversational technology. Lead product strategy, identify customer and business opportunities, define solutions, manage risks, and drive execution with software engineers, analysts, operations, and stakeholders. Develop intuitive, low-effort self-service experiences and advance intent-based routing and natural language capabilities.

Leads the strategy, roadmap, development, procurement, and lifecycle management of enterprise IAM and cybersecurity products. Advises executives on technology risk, evaluates build-versus-buy alternatives, leads RFI/RFP processes, defines product metrics, and partners with engineering, operations, vendors, and business stakeholders. The role also recruits, mentors, and manages senior product managers while driving cybersecurity solutions through production and scale.