Top Tech Jobs & Startup Jobs in NYC, NY

The Director of Business Systems & Analytics will manage enterprise data and systems, oversee financial planning integration, and drive data governance for scalable operations.

The Senior Accountant manages full accounting cycles, prepares financial reports, ensures compliance with regulations, and supports audits in a healthcare organization.

The Growth Marketing Manager will lead player acquisition strategies through various channels, including influencer and affiliate marketing, SEO, and community platforms, focusing on efficiency and scalability.

As an Implementation Manager, you will manage healthcare software projects, liaise with hospitals, ensure smooth implementations, and provide ongoing support to enhance patient care.

Responsible for growing battery sales in the residential installer channel by managing sales processes, training partners, and ensuring effective communication of customer needs.

The Staff Attorney will provide strategic legal guidance on trademark registrations, assist clients with applications, and streamline legal processes for accessibility.

Freelance Account Supervisor providing healthcare communications and PR support for R&D/pipeline and clinical trial projects. Develop messaging and materials, synthesize media monitoring and insights, manage smaller projects, collaborate with teams, and mentor junior staff as needed.

The TPA Sales Executive will develop relationships, leverage networks, and identify opportunities to meet sales targets in new markets.

As a Software Engineer at Central, you'll design and build mission-critical workflows, ensuring compliance and data integrity, while leveraging AI for innovative solutions. You will own your domain as a technical product lead and iterate rapidly based on user feedback.

Design, build, and maintain scalable Scala-based Big Data applications and pipelines using Spark and Kafka. Participate in technical design, implement ETL/data modeling and performance tuning, write tests, troubleshoot production issues, and advise stakeholders on best practices to integrate enterprise data into an analytical warehouse.