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Own post-sale relationships for strategic technology partners to drive adoption, renewals, and net revenue retention. Build and execute joint success plans, run executive reviews, coordinate cross-functional teams to remove blockers, analyze account health to identify risk and expansion, advise on data collaboration and privacy-safe activation, forecast renewals and upsell motions, and feed partner feedback into product and enablement improvements.

Design, build, and maintain scalable Workday integrations (EIB, Core Connectors, Studio, REST/SOAP) across HR, Payroll, Finance and downstream systems. Own end-to-end lifecycle, monitoring, incident response, data reconciliation, documentation, and collaboration with HR/Finance/vendors. Drive integration best practices, automation, AI-assisted tooling, and metrics for uptime and data quality.

Manage top-of-funnel outreach and prospecting to fuel Commercial Leads' pipelines. Work inbound and outbound, coordinate with marketing and sales, represent LiveRamp at industry events, qualify prospects, and progress leads toward Account Executive handoff with a clear path to quota-carrying roles.

Manage end-to-end lifecycle of high-priority post-sales technical escalations. Coordinate Support, Engineering, Product, Customer Success, and executives to triage, drive resolution, deliver executive-ready updates, maintain audit-ready communication, author root cause and path-forward documents, identify trends, build playbooks, and report escalation metrics. Participate in on-call rotation for P0/high-severity incidents.

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.

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

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.

The role involves developing and maintaining authentication and authorization systems, leading projects, code reviews, and collaborating with UX teams to enhance customer experiences.

Lead the product roadmap and execution for Data Subject Rights (DSR) tools, improving vendor integrations, automating DSR processes, routing requests to downstream platforms, and optimizing opt-out/deletion user experiences while collaborating with cross-functional teams and supporting customers and internal stakeholders on privacy and data ethics initiatives.

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.