Top Tech Jobs & Startup Jobs in NYC, NY

Build and lead full-stack software engineering projects using distributed systems, microservices, cloud platforms, databases, APIs, and modern development tools. Provide technical leadership across Agile teams, define service architectures, improve system performance, reduce technical debt, establish engineering standards, mentor developers, and influence long-term technology strategy.

Leads data science and machine learning initiatives for payment-network applications, including fraud, risk, merchant intelligence, and monitoring. Partners with data scientists, engineers, and product managers to build scalable models and AI tools. Responsibilities span model design, training, evaluation, validation, and implementation using Python, AWS, H2O, Spark, and other technologies. The role also requires stakeholder communication, innovation, and team talent development.

Owns product delivery for API abstraction within Capital One’s bank modernization organization. Partners with architecture, engineering, and data consumers to prioritize features, manage sprint execution, monitor platform success and resilience, and drive developer adoption. Translates internal consumer needs into scalable API capabilities using REST, GraphQL, microservices, and cloud technologies. Influences cross-functional stakeholders without direct authority and develops joint roadmaps supporting standardized data product adoption.

Owns core processing capabilities across the B2B credit lifecycle, leading product strategy, execution, modernization, scalability, resiliency, and security. Partners with technology, operations, credit, marketing, business development, and enterprise platform teams to improve customer experiences, deliver new capabilities, and strengthen product culture.

Ten-week MBA Product Management internship focused on building and improving customer-facing products and platforms. Interns will develop product strategy, analyze customer and business data, test hypotheses, manage backlogs, lead sprint teams, make prioritization decisions, and collaborate with developers, designers, analysts, data scientists, and business stakeholders. The role offers exposure to real-world financial services products and may lead to evaluation for Capital One’s MBA Development Program.

Leads the data migration product domain, overseeing migration automation, tooling, legacy data hygiene, analytical frameworks, data mapping, and reconciliation controls. Ensures customer, account, product, and transactional data is migrated accurately and repeatedly while maintaining institutional and regulatory confidence. Drives cross-functional product strategy, technology delivery, customer-focused innovation, risk mitigation, and organizational alignment.

Develop and deploy foundational AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and reliability. Own complex AI architecture, define reliability objectives, improve GPU/TPU utilization, lead technical reviews, ensure security and compliance, and mentor engineering colleagues.

Leads two Workflow Orchestrator worktowers and manages Product Managers overseeing platform capabilities, testing, and observability. Drives modernization of Capital One’s Decisioning Platform, including AI-powered workflows, Graphite-based processing, and a new scalable user interface. Translates customer and business needs into technology-driven product strategy, aligns cross-functional teams, and guides system design, information architecture, execution, and organizational transformation.

Own the end-to-end product strategy and destination-state vision for US Card authentication experiences. Lead a technology team delivering software that balances fraud prevention, customer experience, and agent efficiency. Partner with Fraud Strategy, Risk, Legal, Compliance, Design, Operations, and Engineering. Use data, experimentation, and AI-driven capabilities to improve authentication and fraud detection while influencing senior stakeholders and driving cross-functional alignment.

Leads full-stack software engineering projects and developer teams building cloud-based, microservices solutions. Designs service boundaries, APIs, reusable frameworks, and distributed systems using Python, JavaScript, TypeScript, AWS, databases, Docker, and Kubernetes. Provides technical leadership across Agile teams, establishes engineering standards, mentors developers, improves system performance, reduces technical debt, and contributes to long-term technology strategy.