Top Remote Jobs in New York City, NY

The Senior Director of Sales will lead and mentor the sales team, developing strategic account plans, managing sales forecasts, and enhancing customer relationships within the RFID and IoT sectors. Responsibilities include guiding sales initiatives, preparing reports, addressing customer needs, and collaborating with cross-functional teams to drive success.

The Customer Success Manager will engage and build relationships with educators, ensuring the effective implementation of STEAM and Coding products in classrooms. Responsibilities include retaining and growing customer accounts, collecting feedback, providing training, and advocating for customer needs.

The Associate Director leads media planning strategies for clients, fostering team culture, managing reports, and utilizing data-driven approaches to create effective omnichannel campaigns. They maintain client relationships and emphasize strong analytical and leadership skills while training junior team members.

The macOS Engineering Team Lead will develop and drive innovations in macOS products while mentoring a team of engineers. Responsibilities include managing software development, improving cross-team communication, driving technical vision, and ensuring alignment with product goals.

The Institutional Business Development Lead is responsible for driving growth by developing relationships with institutional clients in the blockchain and cryptocurrency sectors. Key responsibilities include strategizing business development, managing client relationships, developing partnerships, and leading complex sales processes.

The Director of Development is responsible for managing the lifecycle of data center development projects, overseeing site selection, permitting, and interconnection, while ensuring projects meet timelines and budgets. They will also engage in negotiation, risk assessment, and collaborate with cross-functional teams to support project success.

As a Software Engineer focusing on backend and ML infrastructure, you'll build and maintain production pipelines for Machine Learning applications. Your responsibilities will include designing workflow orchestration systems, optimizing for scalability, and implementing techniques for managing unstructured data while contributing to product strategy.