Jobs at LiveRamp

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.

Design, implement, and operate activation backend workflows for large-scale data pipelines. Optimize matching, digest generation, delivery workflows, and system stability. Drive architecture, collaborate across engineering/product/SRE teams, and provide production support while improving performance, cost, and compliance.

Manage and grow the activation fullstack team by setting context, resolving blockers, and ensuring quality outcomes. Guide engineering on coding, design, and architecture, while fostering a productive environment and maintaining team alignment with strategic goals.

The Senior Backend Engineer role focuses on Java programming, REST API development, OAuth principles, and distributed applications while ensuring quality and performance in deliverables. Familiarity with cloud systems and messaging queues like Kafka is essential, with bonuses for experience in big data processing and adtech or martech domains.

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.

Design, build, and operate scalable, privacy-conscious backend and distributed systems for Clean Room products. Lead architecture, technical delivery, cross-functional collaboration, mentoring, incident response, and improvements in reliability, observability, testing, and developer workflows.

Design, implement, and scale backend systems and distributed services. Build REST APIs and microservices, apply OAuth2, write clean test-driven code, evaluate and architect cloud solutions (AWS/GCP/Azure), deploy cloud-native services with Kubernetes/Helm/Terraform, use cloud data platforms (BigQuery, SingleStore), and mentor engineers while influencing technical direction.

Design, develop, and maintain scalable software solutions. Collaborate with cross-functional teams, participate in Agile meetings, and provide operational support for production systems.

Lead executive relationships and manage a portfolio of strategic Brand customers. Drive adoption, customer health, renewals, contract negotiations, and upsell strategy. Coach and mentor CSMs, collaborate cross-functionally to improve customer experience, deliver QBRs/executive summaries, and lead initiatives that ensure customers realize value from LiveRamp products and solutions.

Serve as a subject matter expert for Workday Financials in Source-to-Pay processes, leading solution design, configuration, and enhancements while collaborating with stakeholders for operational efficiency.

The AI Software Engineer will develop backend services, AI components for monitoring, and maintain data pipelines while collaborating on system insights and reliability improvements. This role necessitates software development experience with AI/ML applications.

The Senior Staff Site Reliability Engineer at LiveRamp will define the SRE strategy, oversee critical automation, and lead operational excellence in a global infrastructure, influencing architectural decisions and mentoring teams.

Lead the development of scalable big data solutions, focusing on batch processing and API development while ensuring security and compliance. Collaborate with teams to modernize applications and enhance performance.

Design and maintain cloud infrastructure, build CI/CD pipelines, ensure data security, mentor engineers, and optimize platform performance.

The Senior Data Scientist at LiveRamp will develop and maintain measurement models, translating complex statistical methodologies into scalable production pipelines and collaborating with cross-functional teams to enhance data collaboration for ad tech applications.

Lead Order-to-Cash and revenue recognition activities, ensuring ASC 606 compliance, SOX controls, billing accuracy, and timely month/quarter close. Analyze contracts, prepare reconciliations and variance analyses, partner cross-functionally, and support commercial and customer success teams with contract and revenue questions.

The Senior Site Reliability Engineer will support global product deployments, provide 24/7 operational support, maintain CI/CD tooling, and optimize system performance. They will utilize their SRE practices and leadership abilities to improve product reliability and guide other engineers.