Top Tech Jobs & Startup Jobs in NYC, NY

The Senior Analyst will perform operational risk assessments on new business initiatives, ensure risk mitigation prior to launch, and collaborate across business units to enhance resilience against risks.

Lead the vision and strategy of technology products in risk management, focusing on user experience, agile development, and collaboration with cross-functional teams.

Lead audit coverage strategy and execution for Liquidity Risk Management, IRRBB, and Corporate Planning. Oversee global audits, validate remediation, build senior stakeholder relationships, manage and develop a global audit team, and drive adoption of data analytics and GenAI to enhance audit quality and insights.

Lead cross-functional projects for Corporate Card product strategy and portfolio growth. Develop project plans, track workstreams, analyze internal reporting and market research, support go-to-market activities, perform control testing and operational excellence, and manage day-to-day product aspects for Middle Market cards while partnering with stakeholders and enabling sales and marketing.

The Talent Acquisition Partner will manage the end-to-end hiring process, develop recruitment strategies, maintain candidate pipelines, and ensure a positive experience for candidates and hiring leaders.

Acts as chief of staff to the SVP of Enterprise Data Management & Products, driving strategy execution, program office governance, communications, leadership engagement, workforce planning, and cross-functional alignment to deliver data, product, privacy, and AI priorities.

Lead a team to design, build, and deploy AI-powered product management tools and multi-agent systems. Implement MCP infrastructure, production observability, and scalable integrations with enterprise platforms. Drive adoption, governance, and AI-enabled operating models while partnering across Product, Engineering, Risk, and Governance to measure impact and ensure responsible use.

The Manager will develop fraud prevention strategies, manage fraud-related disruptions, conceptualize new data features, and integrate data sources to enhance detection methods while collaborating with various teams.

The Director of Data Engineering - Agentic AI will lead the strategy and execution of agentic AI systems, guiding architectural standards and managing high-performing teams, while influencing investment strategy and ensuring cross-team integration for cohesive solutions.

Lead product delivery for Cloud Experience platform: translate roadmap into MVPs, drive developer experience improvements, evangelize IaC on AWS/GCP, partner cross-functionally, track post-launch performance, and enable data-driven ROI decisions.