Top Marketing Tech Software Engineer Jobs in New York City, NY

The Backend Engineer will design and implement integrations for external platforms, build Vibe's public API, and improve data pipelines and reliability. Responsibilities include end-to-end project management, collaboration with partners, and enhancing developer experience with tools and documentation.

The IT Director oversees global IT infrastructure, ensuring strategy implementation, project management, and support operations while integrating AI to enhance productivity.

The role involves building AI-powered automation workflows, developing new features, maintaining code, collaborating with teams, and integrating systems.

The role involves designing and operating a Neo4j-based graph for content recommendations and discovery while mentoring engineers and leading architecture reviews.

The Principal Salesforce Engineer will own the architecture and scalability of the Revenue Technology platform, define solutions, and drive execution while developing Salesforce solutions and overseeing the integration with enterprise applications.

We are looking for a Senior Backend Developer to lead a greenfield project involving ML and NLP, manage multiple projects, and mentor junior team members while developing backend functionality.

The Senior Software Engineer will own front-end software development, collaborate with designers, build reusable components, and ensure optimization and accessibility.

As a Senior Fullstack Engineer, you'll develop end-to-end features for Cart & Checkout, collaborating with cross-functional teams. You will design full-stack solutions and ensure quality through documentation and monitoring, while also mentoring junior engineers and optimizing systems for performance.

As a Software Engineer at Bikky, you'll enhance our technical systems, focusing on data visualization, AI analytics, and infrastructure while collaborating with a tight-knit team.

Collect and analyze gesture interaction data in real-time to improve content usage experience. Build data pipelines and operate data storage for insights.