Top Tech Jobs & Startup Jobs in NYC, NY

Build full-stack features spanning React/TypeScript frontends and C++/Python backends. Design low-latency data pipelines, REST APIs, and async services to process real-time computer vision event streams. Collaborate with product, design, and research, contribute to GCP infrastructure, engage with customers, and champion performance, testing, observability, and documentation.

Consultant to build and maintain applications on Google App Engine using Java (preferred) or Python. Develop REST web services, follow Agile/Scrum processes, and integrate front-end technologies (HTML5, JavaScript, Angular.js) as needed. Work onsite in specified US cities for a 6–12 month contract.

Build and operate core backend systems and integrations for a fintech offboarding platform. Design scalable APIs, integration frameworks, and cloud infrastructure; improve reliability, observability, and CI/CD; partner with product and engineering to launch services and securely integrate third-party providers.

The Sr. Director, Enterprise Sales will lead partnerships with pharmaceutical companies, integrating DeepIntent's technology and data solutions to enhance client engagement and drive revenue growth.

Oversee daily swim school operations, supervise instructors and lifeguards, support hiring, training, scheduling, facility safety and risk management, manage customer experience and local marketing, and ensure compliance with partner facilities.

The Senior Manager of Tax Operations will lead tax accounting, compliance, and operations, ensuring accurate financial reporting and scalable processes within the organization.

Various IT roles available such as Developers, Business Analysts, Project Managers, and Architects within an investment bank. Resume submissions are encouraged.

Lead the firm's technology function by overseeing managed service providers, vendor contracts, IT operations, and cybersecurity. Build and execute a multi-year technology roadmap, advise leadership and the Technology Steering Committee on legal tech and AI investments, drive security and compliance, and champion adoption of practical AI use cases to improve efficiency and client service.

Work with senior developers and researchers to integrate and optimize research data processes, design and develop systems in C#/Python/SQL, build robust data pipelines, and implement, support, and run portfolio models for research and production.

Own post‑sale client lifecycle: onboard and activate enterprise customers, run discovery, build tailored deployment plans, deliver training and enablement, drive expansion and renewals, and create scalable deployment playbooks and processes.