Top Tech Jobs & Startup Jobs in NYC, NY

Leads full-stack software engineering teams and technology portfolios within Risk Tech. Responsibilities include setting technical strategy, managing multi-team delivery, mentoring engineering leaders, defining roadmaps, building cloud-native distributed systems, supporting regulatory solutions, and aligning engineering execution with enterprise goals. The role involves Java, Python, JavaScript, TypeScript, cloud platforms, microservices, databases, containers, AI technologies, and occasional coding or code evaluation.

Manages product operations for Business Cards and Payments, identifying process inefficiencies, implementing scalable workflows, and supporting product and AI-driven programs. Owns operational tools including Jira, Claude, and Tableau; establishes frameworks, tracks KPIs, manages resources, and improves data visibility. Partners with product, engineering, design, business teams, and senior leaders to remove roadblocks, support launches, mitigate risks, and drive continuous improvement.

Leads product management for Small Business Bank associate servicing, partnering with technology, operations, and business teams to improve servicing tools and resources. Drives customer-centered product strategy, AI-enabled associate experiences, technology solutions, cross-functional alignment, and execution. Requires product management experience and familiarity with modern data environments such as data lakes, Snowflake, APIs, and streams.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and hardware utilization. Own complex architectures, define reliability objectives, lead technical reviews, ensure security and compliance, shape long-term AI roadmaps, and mentor engineering staff.

Leads technology projects and engineering teams building cloud-based full-stack and distributed microservices solutions. Designs service boundaries, integration patterns, reusable frameworks, and APIs while establishing development and operational standards. Uses multiple programming languages, databases, container orchestration, and cloud platforms. Drives refactoring, performance improvements, technical debt reduction, emerging technology evaluation, mentoring, and cross-functional engineering initiatives.

Leads full-stack software engineering projects and developer teams building distributed microservices and cloud-based systems. Designs service boundaries, APIs, reusable frameworks, and technical standards while collaborating with product managers and architects. Uses modern programming languages, databases, containers, cloud platforms, CI/CD, infrastructure as code, and automated testing. Drives refactoring, performance improvements, technical strategy, operational excellence, mentoring, and compliance-focused technology solutions.

Leads data analytics strategy, modeling, testing, reporting, and process improvements across business units. Mines complex databases, evaluates products and processes, improves operational efficiency, and consults on data systems. Manages and mentors junior analysts while supporting projects through the full lifecycle. The role emphasizes business intelligence, programming, strategic analysis, and collaboration in a fast-paced environment.

Leads alternative data strategy for credit decisioning by evaluating vendors and datasets, engineering features, building and validating machine learning models, and developing scalable processing and monitoring systems. Partners with data scientists, software engineers, and product managers while translating complex analyses into business outcomes. The role requires expertise in large-scale data analysis, statistical modeling, machine learning, and relational databases, with hybrid office attendance.

Designs, builds, and operates scalable cloud data pipelines, platforms, and applications. Responsibilities include data modeling, distributed data processing, relational and NoSQL database development, architecture decisions, observability, streaming pipelines, and data warehousing. The role leads large-scale data initiatives, evaluates technologies such as Snowflake and Databricks, collaborates with product and engineering teams, communicates technical concepts, and mentors data engineers.

Leads strategic business analysis for Capital One Shopping, including growth and profitability strategy, product and pricing development, marketing insights, credit risk modeling, business requirements, and cross-functional execution. The role may manage analysts, oversee multiple programs, influence executives, and drive decisions through quantitative and qualitative analysis. Responsibilities include product strategy, financial performance, customer experience development, and team leadership in a fast-paced environment.