Top Tech Jobs & Startup Jobs in NYC, NY

Owns a portion of the AirKey product roadmap, partnering with design, business, technology, external clients, and sales to commercialize authentication technology. Drives frontend and backend capabilities, customer and client experiences, product strategy, risk mitigation, cross-functional alignment, and innovative digital solutions. Requires strong communication, judgment, client focus, multitasking, and independent decision-making.

Leads strategy and execution for modernizing how retail bank data is published and consumed. Partners with product managers, engineers, data scientists, analysts, marketers, designers, and business stakeholders to develop data products, improve governance and quality, enable real-time data ecosystems, solve complex problems, and drive organizational alignment. The role also includes managing and mentoring product managers.

Manages enterprise service and risk projects by translating priorities into execution plans, tracking commitments, coordinating reporting and governance, and providing executive visibility. Builds operating rhythms, processes, communications, and cross-functional alignment across teams. Partners strategically with leaders, improves organizational effectiveness, manages ambiguity, and drives continuous improvement while supporting team culture and engagement.

Leads advisory, architecture, governance, and modernization of global payment network rules and technical specifications. Conducts competitive and industry analysis, challenges proposed rule changes, evaluates waiver requests, identifies policy gaps, and recommends durable solutions. Partners with Legal, Risk, Product, Technology, and Operations to translate complex requirements into executive-ready materials. Supports an enterprise rules management platform, ensures governance compliance, and improves policy quality through process, KPI, and AI-enabled technology innovation.

Owns end-to-end product management for Capital One Luxury Travel, including product strategy, roadmaps, backlogs, feature prioritization, testing, technology integrations, and premium travel experiences. The role partners with engineering, design, data science, internal stakeholders, and external travel partners to deliver customer-focused digital products, manage agile execution, and drive growth.

Design, develop, deploy, and support foundational AI systems, including LLM inference, agentic workflows, vector search, model evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI engineering standards, lead technical reviews, and mentor senior engineering leaders while applying emerging research responsibly in production.

Leads full-stack software engineering projects and development teams, building cloud-based solutions with microservices, APIs, databases, container orchestration, and front-end frameworks. Provides technical leadership, establishes engineering standards, mentors developers, partners with architects and product managers, improves system performance, reduces technical debt, and influences technology strategy across Agile teams.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, databases, APIs, and modern development frameworks. Provide technical leadership across Agile teams, mentor engineers, establish design and coding standards, partner with architects and product managers, improve system performance, reduce technical debt, and influence long-term technology strategy.

Own the product strategy, roadmap, and development of Account Opening products for Capital One’s Retail Bank. Collaborate with customers, designers, engineers, data scientists, and stakeholders to define features, acceptance criteria, user stories, and MVPs. Use data and hypothesis-driven analysis to prioritize investments, manage risk, explore emerging technologies, and deliver consumer-facing digital experiences in an agile environment.

Conduct applied AI research and build foundation models across design, training, evaluation, validation, and production implementation. Collaborate with data scientists, software and machine learning engineers, and product managers to deliver scalable AI products. Research LLMs, optimization, fine-tuning, and agentic AI; publish findings through technical reports and conference submissions; and independently pursue impactful research agendas.