Top Tech Jobs & Startup Jobs in NYC, NY

The role involves managing and executing marketing events and initiatives to engage clients, drive brand awareness, and support sales efforts. Responsibilities include planning events, managing logistics, creating budgets, and maintaining vendor relationships.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Lead the development of healthcare applications and data systems, focusing on audience intelligence and compliance. Design scalable data pipelines, APIs, and reporting systems while ensuring high data quality and security in regulated environments.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

The Lead Software QA Engineer will integrate quality into the AI-first engineering workflow, enhancing developer behavior towards reliability and efficiency. Responsibilities include building automated testing systems, defining production standards, collaborating with Sales and Product, and ensuring data integrity and usability.

Responsible for driving new enterprise revenue by transforming customer engagement, focusing on CRM, CDP, and retail media. Requires strong sales expertise in MarTech and customer data strategy.

The Senior Paid Search Specialist executes campaign development, optimizes performance, manages client reporting, and collaborates on paid search strategies.

This role involves leading a consulting team to deliver data-driven marketing strategies, measurement, and client engagement, while advising C-suite executives and optimizing customer journeys through advanced data analysis and insights.

Responsible for developing and implementing Zeta Global's privacy compliance program, overseeing federal and state privacy laws, and managing compliance teams and audits.

Drive adoption of AI-native engineering workflows, create technical content, engage with developers, and improve AI-assisted software development practices.