Top Tech Jobs & Startup Jobs in NYC, NY

Develop scalable multi-agent AI systems using LangChain and LangGraph, ensuring reliability and performance across financial use cases. Collaborate with engineers and data scientists to optimize AI applications and build production-ready solutions.

Lead complex programs using agile delivery methods, manage multiple workstreams, engage with senior stakeholders, and drive project milestones.

Manage KYC client onboarding and documentation collection, support GCIB/GM outreach operations, run capacity and budget analysis, oversee vendor relationships, design training, and coordinate global continuity and process documentation.

The Director of FCC Solutions is responsible for business development, providing advisory on financial crimes compliance, and delivery governance within eClerx's FCC Practice, focusing on client success and customized solutions.

Drive new business for IT staffing and consulting services in the NYC market. Prospect, qualify, and close contract, contract-to-hire, and full-time placements; build relationships with hiring managers and executives; manage pipeline in CRM; meet revenue and activity quotas while growing accounts.

The AI Product Manager oversees the strategy, roadmap, and execution of AI solutions, collaborating with teams to address operational challenges and ensure product safety and effectiveness while monitoring performance.

The AI Engineer will launch GenAI solutions, build AI systems, and collaborate with teams to enhance production environments and address challenges.

The AI Product Manager defines strategy and execution for AI solutions, manages the product lifecycle, integrates eco-systems, ensures AI safety and reliability, and oversees product metrics and data strategy.

Lead cross-functional programs focused on Data Cloud technologies and user experience enhancements, defining scopes and managing budgets while collaborating with stakeholders.

As an AI Product Manager, you will define the strategy and execution for AI solutions, manage product lifecycle, ensure AI safety and reliability, and drive product excellence while collaborating across teams.