Jobs at LiveRamp

Lead the strategy, architecture, roadmap, and operations of LiveRamp’s enterprise GTM technology ecosystem. Own Salesforce and Quote-to-Cash architecture, integrations, production support, incident management, monitoring, AI governance, engineering standards, and data quality. Partner across business and technical teams to deliver scalable solutions, manage vendors, and improve reliability and seller productivity. Lead and mentor Salesforce engineers, developers, administrators, architects, and technical leads.

Lead the design, implementation, modernization, and optimization of large-scale big data systems processing trillions of identity graph connections. Develop batch processing solutions, REST APIs, and scalable applications using Spark, cloud platforms, and modern infrastructure tools. Collaborate with product managers and engineering teams while emphasizing performance, reliability, security, privacy, compliance, and cost effectiveness.

Supports Data Ethics and Legal teams by managing data subject requests, privacy questionnaires, responsible AI controls, playbooks, documentation, reporting, and process improvements. The role coordinates cross-functional projects, maintains knowledge resources and intranet content, develops training materials, and translates legal, regulatory, privacy, and data ethics requirements into practical workflows. It also applies AI and automation to controlled business processes while tracking risks, escalations, turnaround times, and operational performance.

Leads three activation and integration engineering teams totaling 20–25 engineers across the US and India. Owns platform reliability, partner integrations, incident response, roadmap, architecture, and modernization initiatives including Temporal migration, self-service, and AI-driven workflows. Hires and develops engineering leaders, manages large-scale data pipelines, improves delivery speed and cost, reduces duplicate data, and partners with Product, Quality, Support, executives, and external technology partners.

Drive enterprise sales and revenue growth across DACH verticals by managing the full sales cycle, developing strategic relationships, expanding existing accounts, forecasting pipeline, negotiating contracts, and meeting sales targets. The role requires consultative selling, C-level engagement, technical understanding of cloud, data collaboration, clean rooms, identity resolution, and privacy technologies, plus cross-functional collaboration and industry thought leadership. Fluency in German and English is required.

Leads end-to-end product quality strategy across infrastructure, platform, data, applications, APIs, and AI agent systems. Manages and scales a 40+ person quality engineering organization, establishes testing standards and quality gates, drives AI-enabled QE transformation, and owns observability, incident management, governance, audits, and compliance. Partners with senior Engineering, Product, Infrastructure, and Security leaders while reporting quality metrics, release risk, and readiness to executives.

Provides technical support to clients by managing ticket queues, troubleshooting complex system issues, and delivering timely, sustainable solutions. Collaborates with global customer support and internal stakeholders, investigates databases and logs, improves support processes, and communicates with customers via video conferences. The role requires strong problem-solving, follow-through, resourcefulness, and comfort working in ambiguous situations. It is a hybrid individual-contributor position with occasional on-call or weekend availability.

Develops financial models and forecasts for cloud infrastructure costs, supports budgeting and variance analysis, identifies optimization opportunities, tracks vendor contracts, and presents financial insights to executives. Partners with engineering, operations, and finance teams to guide cloud investment decisions and ensure financial compliance.

Manage top-of-funnel sales activities through inbound and outbound prospecting, lead follow-up, account research, and outreach campaigns. Collaborate with marketing, commercial leads, and leadership to generate pipeline, represent LiveRamp at industry events, uncover prospect needs, and introduce product offerings. The role offers a path toward becoming a quota-carrying Account Executive.

Develop and execute product strategy, vision, and roadmap; prioritize requirements; collaborate with engineering, design, sales, marketing, and customer success; oversee product launches; monitor performance; analyze feedback; and identify opportunities for innovation and continuous improvement.

Develops scalable self-service analytics, data science frameworks, predictive and causal models, experimentation strategies, semantic layers, and AI-powered analytics tools. Partners with Product, Engineering, Design, and data engineering teams to improve product adoption, engagement, retention, and monetization insights. Leads complex analytics initiatives, ensures analytical rigor and governance, communicates findings to executives, and mentors analysts and data scientists.

Manage top-of-funnel sales activities through inbound and outbound prospecting, cold and warm account follow-up, outreach campaigns, and lead qualification. Collaborate with Marketing, Commercial Leads, and leadership, represent LiveRamp at industry events, introduce prospects to product lines, and build a path toward an Account Executive role.

Leads cross-functional business transformation initiatives spanning process redesign, AI-enabled workflows, systems, data, and change management. Partners with executives and technology teams to identify opportunities, translate business needs into requirements and future-state designs, prioritize initiatives, manage delivery dependencies, and measure business value. Supports governed, secure, measurable solutions across Commercial, Finance, Customer Engagement, and Corporate Operations.

Designs, deploys, and improves production machine learning and statistical models for identity resolution, entity matching, measurement, and analytics. Responsibilities include transforming large datasets, engineering features, developing evaluation and experimentation frameworks, monitoring deployed systems, communicating recommendations, partnering with product and engineering, and mentoring data science colleagues.

Manage and develop a team of 4–6 analysts delivering customer reporting and analytics. Lead complex analyses, establish standards for rigor and reproducibility, oversee project delivery, present findings to stakeholders, and partner with Product and Engineering on measurement products and AI-enabled analytics tools. The role requires deep advertising measurement expertise, client-facing communication, dashboard development, and hands-on proficiency in SQL, Python, Excel, statistical methods, and analytics platforms.

Manage strategic enterprise partnerships by developing success plans, driving platform adoption, overseeing complex renewals, reducing churn, and identifying upsell opportunities. Build executive relationships, provide AdTech expertise, negotiate commercial terms, prepare QBRs, and coordinate with sales, product, engineering, and support teams to deliver client-specific solutions and product improvements.

Designs, develops, and delivers technical training for internal customer experience teams, partners, and SaaS customers. Responsibilities include learning complex products, creating instructional materials, leading virtual and in-person sessions, coordinating with Product and Engineering, supporting technical implementations and escalations, documenting knowledge, and improving courses through learner feedback. The role also establishes onboarding processes and applies adult-learning principles to make training scalable and effective.

Administer the LMS, maintain course and learner records, upload SCORM content, troubleshoot platform issues, and coordinate with vendors. Develop, customize, launch, and evaluate learning programs for the Hyderabad site, including onboarding and manager training. Apply adult learning theory and instructional design principles, manage project plans, analyze program metrics, produce reports, and recommend improvements while collaborating with HR and internal stakeholders.

Owns go-to-market strategy and commercialization for LiveRamp’s Identity portfolio. Partners with Product and Commercial leaders to shape strategy, positioning, packaging, competitive intelligence, adoption, and growth. Translates complex identity and data collaboration technology into customer value, engages enterprise customers and partners, measures pipeline and usage, and influences cross-functional stakeholders. Serves as an internal and external Identity thought leader.

Lead development of a large-scale data processing and ingestion platform, migrate complex use cases, architect and implement backend systems, support production operations, and mentor software engineers. The role involves processing billions of records daily, validating and anonymizing data, improving system performance, diagnosing technical issues, and driving initiatives across engineering teams.