Director, Quality Engineering

Employment Type: FullTime

Location Type: OnSite

Department: Platform and Identity Engineering

LiveRamp is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the LiveRamp data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. LiveRamp is headquartered in San Francisco, California, with offices worldwide. Learn more at LiveRamp.com.

Director, Quality Engineering

You will:

Own end-to-end Product Quality strategy and execution across Infrastructure, Platform, Data, Application, APIs, Agents, and MCP-based systemsLead and grow a QE organization of 40+ engineers and managers — hiring, coaching, building career paths, and managing performanceDrive AI-led transformation of quality engineering processes and tooling across the orgDefine and enforce standard QE practices, frameworks, and quality gates across all product linesOwn the Observability platform strategy across all layers — test frameworks, coverage, and monitoring/alertingOwn Incident Management processes for quality-related production issues, driving root cause analysis and preventionOwn Governance and audit processes for Product Quality compliance and reportingPartner cross-functionally with Engineering, Product, Infra, and Security leadership to align quality strategy with business goalsReport on quality metrics, release risk, and readiness to senior leadership (VP, Engineering and above)Measures of success: reduction in production incidents tied to quality gaps, increased automated test coverage across Platform/Data/Infra/Application/Agent surfaces, faster and more predictable release cycles, and measurable progress on the QE org's AI-transformation roadmap over the first 6, 12, and 18 months

Your team will:

Solve the hardest quality problems at LiveRamp's scale — ensuring the reliability of a data collaboration platform trusted by hundreds of global brands. The team owns quality across every layer of the stack (platform, data, infrastructure, application, and emerging AI agent/MCP surfaces), builds the observability and automation systems that catch issues before customers do, and is at the forefront of applying AI to modernize how quality engineering is done. This is a high-visibility organization of 40+ engineers and managers working directly with Engineering, Product, Infra, and Security leadership to keep LiveRamp's products safe, reliable, and fast to ship.

About you:

Bachelor's degree in Computer Science, Information Technology, or a related field is required; a Master's degree in Engineering or a Master of Science in Quality Assurance is preferred12-15+ years of experience in software quality/test engineering5-8+ years of experience in QE leadership or people management, including building and scaling QE organizations of 40+ engineersDeep expertise in test strategy across Functional, Integration, End-to-End, Performance/Load, and Robustness testingExperience owning release quality for large-scale distributed and data systems, including cloud infrastructure such as GCP, Kubernetes, and AWSExperience with CI/CD platforms (Jenkins, Spinnaker, CircleCI) and modern test infrastructure at scaleExperience setting up and owning Observability tooling across frameworks, monitoring, and alertingExperience leading Incident Management and driving Governance, audit, and compliance practicesStrong executive communication and stakeholder management skillsExperience operating in agile environments, partnering with QE embedded in scrum teamsPreferred Skills:Experience integrating AI and automation into quality engineering processes and toolingExperience with backend data processing or data pipeline systemsFamiliarity with log analysis tools such as LogDNA, Datadog, or KibanaFamiliarity with reporting/analytics tools such as TableauExperience working with or overseeing testing for AI agents and MCP-based systems

The approximate annual base compensation range is $204,500-295,000.00. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.

LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.

California residents: Please see our California Personnel Privacy Policy (https://liveramp.com/privacy/california-personnel-privacy-policy/) for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.

We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.

To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.

We are proud to be an equal employment opportunity and affirmative action employer. We believe in diversity and do not discriminate based on race, color, religion, sex, age, national origin, veteran status, sexual orientation, gender identity, disability, or any other basis of discrimination prohibited by law.