Top Tech Jobs & Startup Jobs in NYC, NY

Lead the Forward Deployed Engineering team, hire and mentor engineers, oversee customer engagements, and ensure high-quality AI solutions while collaborating with cross-functional teams.

The Strategic Finance Lead will guide finance operations for compute investments, build financial models, and communicate technical financial insights, partnering with cross-functional teams in AI development.

As an Infrastructure Optimization & Efficiency Engineer, you will optimize AI infrastructure for performance and cost-effectiveness, working across the tech stack and collaborating with teams to drive engineering practices around efficiency.

The Software Engineer will develop AI-powered cybersecurity products, iterating based on feedback, collaborating with research teams, and engaging with customers to inform product development.

As an Account Executive, you'll drive the adoption of AI solutions in the Insurance sector, win new business, and manage complex sales cycles while collaborating cross-functionally to align offerings with market needs.

The Technical Program Manager will coordinate cross-team initiatives, ensure product launch readiness, and drive execution across engineering and product teams.

The Nonprofit Account Executive will promote AI adoption in nonprofits through strategic partnerships, driving revenue and enhancing social impact. Responsibilities include managing the sales cycle, executing innovative strategies, and refining sales methodologies while understanding customer needs and market trends.

The Technical Program Manager drives AI product launches, coordinating efforts across research, engineering, and product teams to ensure reliable and efficient releases while managing multiple stakeholders and technical dependencies.

Manage operational health and progress of reliability infrastructure in AI systems, driving incident responses, maintaining service-level objectives, and coordinating platform projects.

The Technical Program Manager will lead marketing measurement programs, manage vendor relationships, and oversee the integration of marketing technology, ensuring effective data-driven decision-making for marketing operations.