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The role involves designing and deploying ML models for yield optimization, pricing, inventory allocation, and developing real-time decision systems within a programmatic advertising context, collaborating across teams and ensuring production-ready implementations.

The Senior Data Scientist will design and deploy machine learning models for yield optimization and inventory allocation in programmatic advertising, ensuring effective real-time decision-making and collaboration across teams.

Execute and maintain test plans and automated tests, collaborate with engineers and PMs to define acceptance criteria, triage and track bugs, support release readiness, and document test cases, schedules, and results to ensure high-quality software delivery.

Lead and scale a high-performing SaaS sales organization: recruit, coach, forecast, optimize sales processes, monitor KPIs, assist in deals, and collaborate cross-functionally to drive revenue.

The Product Marketing Manager II develops and executes go-to-market strategies, manages product launches, drives adoption, conducts research, and collaborates with teams to align marketing narratives and insights.

Join an agile engineering squad to develop, test, and maintain backend services using Java and Spring. Build unit and integration tests, assist QA, triage and fix bugs, collaborate in Scrum, and learn cloud and CI/CD tooling while pairing with senior engineers.

Provide technical customer support via chat, email, and ticketing for a global SaaS platform. Troubleshoot and replicate user issues, test features, identify root causes, and relay voice-of-customer feedback to product and engineering. Help shape the new Columbus support team and maintain high-quality, professional interactions across channels.

Own commercial relationships for commerce media products across a merchant/advertiser portfolio: close warm opportunities, lead onboarding and activation, optimize yield and performance metrics, produce client-facing materials, troubleshoot integrations, and grow adoption and revenue while coordinating cross-functional technical and commercial teams.

Lead strategy and execution for large-scale performance creator programs: design end-to-end strategies, build creator supply and compensation models, optimize creative for performance, teach and enable client teams through workshops, partner cross-functionally for onboarding and operations, and apply advanced measurement (MMM, MTA, brand/sales lift) to prove and optimize program impact.

As Lead Technical Services Engineer, you will lead complex integrations, mentor peers, resolve escalations, and improve platform solutions while collaborating across teams.