Jobs at Magnite

Own mobile in-app integration onboarding and health, resolve complex technical escalations across platforms, APIs, reporting systems, and SDKs, and use SQL, Excel, and AI tools to analyze data, automate workflows, identify recurring issues, and improve operational efficiency. Partner cross-functionally with Account Management, Product, and Engineering while communicating root causes and driving resolutions.

Manage technical escalations for the DV+ platform, analyze large datasets with SQL and Excel, leverage AI tools to automate workflows, troubleshoot complex integrations and APIs, and coordinate cross-functional teams to drive scalable operational solutions.

Manages technical escalations for Magnite’s DV+ programmatic advertising platform. Queries large datasets with SQL, troubleshoots issues across systems, APIs, reporting pipelines, and integrations, and applies AI tools to automate workflows and improve efficiency. The role coordinates with Product, Engineering, Account Management, Technical Operations, and external partners while documenting solutions, diagnosing root causes, and driving ambiguous issues to resolution.

Develop large-scale distributed systems and high-performance, low-latency software for ad traffic optimization. Apply mathematical algorithms and large-scale data analysis to maximize throughput, improve traffic prioritization, and reduce infrastructure costs. Own the full software development lifecycle, participate in production support and on-call rotations, and collaborate on technical tradeoffs. The role uses Rust, Scala, Spark, Kafka, Kubernetes, and cloud deployment tooling in a hybrid Boston or New York City environment.

Own the Traffic Shaping product area, analyzing large datasets and experiments to guide prioritization and product recommendations. Define problems, requirements, user stories, and feature improvements while partnering with Engineering and Data Science through launch and validation. Improve product operations and workflows, communicate insights clearly, and make data-informed decisions amid uncertainty. The role requires product management experience, analytical judgment, technical fluency including SQL, strong communication, ownership, and a bachelor’s degree or equivalent experience.