Top Tech Jobs & Startup Jobs in NYC, NY

Develop and optimize machine learning models to enhance Spotify's content recommendations and listening experiences using LLMs and data-driven techniques.

The Senior Sales Engineer at Spotify for Backstage aids in pre-sales, providing technical support and integration guidance for clients adopting Backstage, managing developer workflows and enhancing client satisfaction.

Design and build machine learning systems for optimizing personalization features, collaborate with cross-functional teams, and shape technical direction for engineering excellence at Spotify.

Lead the marketing strategy for Spotify's B2B SaaS business, focusing on growth, product marketing, and brand positioning. Collaborate with engineering and sales while managing a high-performing marketing team.

As a Senior Machine Learning Engineer, you'll design ML systems for ad optimization, research strategies, analyze user behavior, and collaborate on innovative solutions.

Lead vendor Technical Support operations, resolving complex technical issues, improving processes, and collaborating with cross-functional teams to enhance support experience.

The Data Scientist will work on building scalable data products for Spotify Advertising, focusing on causal inference, experimentation, and optimization. Responsibilities include partnering with teams to generate insights, managing data pipelines, and producing actionable recommendations for advertisers.

Manage global vendor billing operations, ensure compliance with invoicing standards, resolve disputes, and collaborate with finance and fraud teams to improve processes.

As a Backend Engineer for the Podcast team, you'll build and maintain backend systems and APIs for podcast content, ensuring reliable distribution across Spotify at scale. You'll collaborate on the Distribution API and expand content ingestion pipelines, while also focusing on AI-driven experiences.

The Backend Engineer will design and maintain scalable services and APIs for Spotify's advertising systems, collaborating with cross-functional teams and ensuring system reliability and performance.