Top Tech Jobs & Startup Jobs in NYC, NY

Own full-cycle new-business sales for mid-market IT/service leaders: prospecting, outbound pipeline, discovery, evaluation, negotiation, and close. Sell an AI-native service management platform, partner cross-functionally with CEO, engineers, and product, maintain CRM and forecasts, and travel to customers and events as needed.

Full-cycle new-business seller responsible for prospecting, outbound pipeline generation, and closing B2B SaaS deals with IT leaders at growing organizations. Manage high-volume opportunities, forecast accurately, keep CRM current, and collaborate with the CEO, engineers, and product to refine positioning and product feedback.

First growth and marketing hire to define brand voice, craft messaging for technical and executive audiences, produce content and collateral, partner with founders/product/design, and run rapid growth experiments.

As a Front-End Engineer, you'll design and develop user-friendly interfaces using modern frameworks, improve performance, and collaborate with teams to integrate AI-driven tools.

Develop enterprise-grade applications by managing end-to-end feature ownership, collaborating with cross-functional teams, and integrating AI within workflows to enhance IT services.

The role involves owning front-end architecture and building high-performance user interfaces using modern frameworks while collaborating with cross-functional teams.

Design and develop systems for AI-native enterprise management, focusing on scalability, maintainability, code quality, and collaborative engineering practices.

The Principal Software Engineer will lead architecture, mentorship, and technical execution for scalable systems, influencing product strategies.

The Lead Software Engineer will design, develop, and maintain large-scale systems and features, mentor teams, and ensure high code quality while collaborating cross-functionally.

The Senior Software Engineer will architect and evolve a multi-tenant data model, design scalable backend services, and drive decision-making for data-layer performance, ensuring scalability and reliability for enterprise customers.