Top Tech Jobs & Startup Jobs in NYC, NY

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.

The role involves leveraging Runway to assist Enterprise clients, creating content, training users, and providing support while adapting to a fast-paced environment.

The Senior Business/Creative Recruiter will manage full-cycle recruiting for G&A teams, develop strategies with hiring managers, and enhance diversity efforts while improving candidate experience.

Lead developer relations for generative video and image model APIs: own developer funnel, onboarding, community events, content (tutorials, demos, repos), developer communications, and feedback loops to product and engineering to drive API adoption and engagement.

As a Design Engineer at Runway Labs, you will create AI video interfaces and tools, collaborating with teams on prototypes and user experiences in an exploratory lab setting.

The Creative Support Specialist provides ticket-based creative and technical support, resolves customer inquiries, manages escalations, analyzes trends, and creates self-service content for users. They engage with the community and improve support processes while thriving in a fast-paced environment.

The role involves leading design projects for mobile and web platforms, creating prototypes, collaborating with engineering teams, and maintaining design consistency across products.

The Creative Support Specialist will provide technical and creative assistance to enterprise clients, handle customer inquiries, and contribute to product documentation and process improvements, leveraging generative AI tools.

Lead the Engineering team responsible for the API, focusing on platform strategy, team growth, and cross-functional collaboration to enhance product development and API performance.

Design and curate multimodal, multitask datasets and run controlled training experiments to evaluate how data composition affects world-model performance. Build large-scale synthetic data pipelines, filtering and quality-control systems. Define benchmarks and evaluations, and partner with product and creative teams to translate target behaviors into data strategies that enable simulation-driven AI capabilities.