Top Tech Jobs & Startup Jobs in NYC, NY

Designs and scales enterprise talent management capabilities, including talent reviews, succession planning, assessments, talent insights, governance, and digital-first solutions. Partners with HR, Product, Technology, and Data & Analytics teams; develops executive recommendations and presentations; manages stakeholders, project plans, and cross-functional delivery across multiple priorities.

Leads the Employee Platforms Engineering and Architecture portfolio, translating strategy into roadmaps, OKRs, milestones, governance, metrics, and executive reporting. Runs operating cadences, manages dependencies, risks, escalations, and decisions, and drives portfolio rationalization, architecture governance, engineering excellence, DORA measurement, communities of practice, responsible AI adoption, and firmwide technology initiatives.

Leads AI-enabled product transformation for Trusts and Estates Controls. Owns product vision, roadmap, discovery, requirements, delivery, governance, auditability, risk management, responsible AI adoption, and stakeholder alignment across Controls, Compliance, Legal, Operations, Technology, and Data/AI teams. Drives production deployment, adoption, change management, measurable control improvements, and productivity gains.

Own the vision, roadmap, requirements, and delivery of a global Authorized Parties product experience. Lead discovery, stakeholder alignment, dependency management, and delivery across business, engineering, data, risk, and compliance teams. Develop testable functional and non-functional requirements using VS Code and AI-assisted tools. Partner on relationship graphs, permissions, audit trails, AI use cases, governance, and regulatory adherence while driving product outcomes and continuous improvement.

Supports product management through customer and market analysis, product metrics reporting, research, and data collection. Partners with product, engineering, data science, governance, and risk teams to define AI use cases, assess data readiness, establish controls, and support accountable AI delivery across the lifecycle.

Lead technical design and delivery of high-performance, secure backend systems. Develop and review production code using TDD, mentor engineers, prototype AI-enabled workflows, ensure reliability, performance, and compliance across distributed services.

Leads go-to-market strategy, customer acquisition, onboarding, engagement, and retention for Chase Business Banking Insurance. Coordinates Product, Brand, Media, PR, Social, Analytics, Risk, Compliance, Legal, and field teams to launch a compliant digital-led SMB property and casualty insurance offering. Develops messaging, personas, value propositions, integrated channel strategies, segmentation, personalization, and customer journey programs across digital and offline channels.

Own product strategy, roadmaps, backlogs, requirements, pilots, launches, and success metrics for workplace amenity services. Lead data strategy by mapping internal and vendor data sources and planning ingestion, transformation, and visualization. Partner with design, technology, operations, and analytics teams to improve employee and guest experiences, productize services, and align senior leaders through compelling presentations and data-informed recommendations.

Build, operate, and scale AWS production environments using EKS, ECS, and Terraform. Maintain CI/CD pipelines, Akamai CDN and security configurations, certificates, monitoring dashboards, alerts, and incident-response processes. Improve reliability, observability, automation, resiliency, and secure operations for application and AI-enabled services. Support change management, troubleshooting, documentation, root-cause analysis, and responsible use of AI-assisted development tools.

Design, develop, troubleshoot, and maintain full-stack cloud-native applications using Java, Spring Boot, Spring Cloud, TypeScript, APIs, microservices, and AWS. Build resilient backend services and agentic workflows, implement infrastructure as code, reactive programming, CI/CD, observability, and performance testing. Support production stability across distributed systems and data platforms, while integrating front-end functionality and exploring agent-to-UI and agent-to-agent interactions.