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Lead end-to-end program management for LiveRamp's Data Marketplace: scope, plan, and deliver cross-functional initiatives. Coordinate Product, Engineering, Sales, Partnerships, and Operations; run Agile ceremonies; manage risks, dependencies, incidents, and metrics; translate stakeholder needs into roadmaps and requirements; drive process improvements and executive reporting to ensure predictable delivery and high-quality marketplace experiences.

Design, build, and operate scalable Big Data pipelines and infrastructure (batch and real-time) using Spark, Airflow, Dataproc, Redpanda, and Kubernetes. Lead on-call, incident response, monitoring, IaC with Terraform, mentor vendors, evaluate new technologies, and drive platform reliability, security, and developer experience.

LiveRamp seeks a Senior Data Engineer to enhance data collaboration within organizations while ensuring compliance and privacy standards. Responsibilities include building data infrastructures and supporting data use cases across various partners.

Design and develop complex software solutions, mentor junior engineers, ensure system scalability and performance, and innovate on data virtualization technologies.

The Sr. Account Executive will drive new business, exceed sales quotas, develop strategic plans, and ensure customer satisfaction in the AdTech/MarTech industry.

The Engagement Manager ensures successful delivery of LiveRamp Global Services projects by collaborating with client executives and internal stakeholders, managing project scopes, timelines, and relationships, while providing insights and recommendations.

As a Senior Site Reliability Engineer, you will support product deployments, provide engineering support, maintain systems, and collaborate with teams globally to enhance infrastructure reliability.

Lead QA for enterprise business applications (Workday, Salesforce, ERP), defining QA strategy, test plans, automation, and integration testing. Manage functional, regression, integration, UAT, API and data validation testing, mentor teams, track defects in Jira/Azure DevOps, and ensure compliance with QA governance across HR, Finance, CRM, and related workflows.

The Principal Analytics & ML Engineer will architect scalable analytics and ML solutions, build data models and pipelines, and mentor teams on best practices. Responsibilities include developing analytical models, collaborating across teams, and driving impactful analytics projects.

Build and own customer health, usage, and renewal operations for Commercial accounts. Create metrics, early-warning alerts, and forecasting for renewals/contraction. Translate usage signals into executive reporting, partner with CSMs, Product, and Data Engineering, and use analytics and AI to scale reporting and drive retention.