Top Tech Jobs & Startup Jobs in NYC, NY

The Account Manager will oversee hotel supplier relationships, manage performance, onboard partners, analyze data, and develop account strategies.

The Senior Lead AI Engineer will develop, test, and support AI software, design new models, and enhance AI product offerings at Capital One while collaborating across teams.

The Applied Researcher I will partner with cross-functional teams to develop AI-powered products, conduct applied research, and build AI foundation models using emerging technologies.

Lead a team of data scientists to develop AI/ML solutions, leveraging advanced technologies for customer interactions and product innovations. Build and implement NLP models for large-scale applications while collaborating with cross-functional teams.

The Lead Machine Learning Engineer designs and implements ML applications, builds data pipelines, collaborates with teams, and ensures performance and governance of ML systems.

The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.

Manage supplier onboarding and accounts payable processes in Coupa, validate financial data, create payment batches, monitor payment inboxes, and produce payment health and risk reports. Maintain and test controls, coordinate with risk and cross-functional teams, drive process improvements and automation, and support ad-hoc projects to reduce exceptions and strengthen payment workflows.

Lead testing, monitoring and oversight of network participant risk management for payments. Develop and execute testing strategy, perform data analysis, validate controls, challenge first-line risk decisions, track issues, and drive remediation. Collaborate with BRO/IRM and stakeholders, maintain related policies and documentation, and provide insights on trends and risk changes.

Manage and execute supplier payment processes including invoice validation, dispute resolution, reconciliations, and control testing. Partner with cross-functional teams to reduce exceptions, drive automation, and lead ad-hoc finance projects to improve payment workflows and risk controls.

Design, build, validate, and deploy machine learning models across the credit card lifecycle. Partner with cross-functional teams, analyze large numeric and textual datasets using Python, Spark, H2O and cloud platforms, and translate technical insights into business impact for card products.