Jobs at Magnite

The Lead of Learning & Development Programs will plan, develop, and analyze learning initiatives while fostering continuous employee growth through various training formats and facilitating onboarding processes.

As a Senior Account Executive, you will manage strategic agency accounts, pitch Magnite's solutions, and drive revenue through programmatic sales. Responsibilities include tracking sales pipelines, customizing media plans, and consulting on new product offerings.

The Senior Quality Engineer will develop test strategies, implement automated testing frameworks, and collaborate with teams to enhance quality throughout the software development lifecycle.

As an Account Manager, you will ensure client success on SpringServe by building relationships, onboarding clients, providing technical support, analyzing performance data, and delivering insights.

Manage client relationships and programmatic ad campaigns, ensuring successful execution while identifying growth opportunities through data analysis and account management strategies.

The Enterprise Senior Account Director will lead strategic discussions, engage clients, create a sales pipeline, and drive revenue through enterprise technology solutions, focusing on ClearLine Activation and Curation.

The Engineer I will design and develop automation systems, custom applications, and streamline workflows while collaborating with various teams. The role involves leveraging AI tools and participating in continuous improvement efforts.

The Data Scientist role involves developing algorithms and models for real-time decision making, collaborating with teams, and utilizing complex data in a high-frequency marketplace.

The Senior Engineer on the Developer Experience Team will design shared engineering capabilities, improve developer productivity, and integrate AI tools into workflows to enhance software delivery across Magnite.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.