Director, Quality Engineering

LiveRamp Holdings Inc
  • San Francisco, CA
  • $204,500–$295,000 Per Year
  • Autofill and Review
11 days ago

Job Description

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 systems

Lead and grow a QE organization of 40+ engineers and managers - hiring, coaching, building career paths, and managing performance

Drive AI-led transformation of quality engineering processes and tooling across the org

Define and enforce standard QE practices, frameworks, and quality gates across all product lines

Own the Observability platform strategy across all layers - test frameworks, coverage, and monitoring/alerting

Own Incident Management processes for quality-related production issues, driving root cause analysis and prevention

Own Governance and audit processes for Product Quality compliance and reporting

Partner cross-functionally with Engineering, Product, Infra, and Security leadership to align quality strategy with business goals

Report 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 orgs AI-transformation roadmap over the first 6, 12, and 18 months

Your team will:

Solve the hardest quality problems at LiveRamps 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 LiveRamps products safe, reliable, and fast to ship.

About you:

Bachelors degree in Computer Science, Information Technology, or a related field is required; a Masters degree in Engineering or a Master of Science in Quality Assurance is preferred

12-15+ years of experience in software quality/test engineering

5-8+ years of experience in QE leadership or people management, including building and scaling QE organizations of 40+ engineers

Deep expertise in test strategy across Functional, Integration, End-to-End, Performance/Load, and Robustness testing

Experience owning release quality for large-scale distributed and data systems, including cloud infrastructure such as GCP, Kubernetes, and AWS

Experience with CI/CD platforms (Jenkins, Spinnaker, CircleCI) and modern test infrastructure at scale

Experience setting up and owning Observability tooling across frameworks, monitoring, and alerting

Experience leading Incident Management and driving Governance, audit, and compliance practices

Strong executive communication and stakeholder management skills

Experience operating in agile environments, partnering with QE embedded in scrum teams

Preferred Skills:

Experience integrating AI and automation into quality engineering processes and tooling

Experience with backend data processing or data pipeline systems

Familiarity with log analysis tools such as LogDNA, Datadog, or Kibana

Familiarity with reporting/analytics tools such as Tableau

Experience 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 applicants 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 persons 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 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.

Numbers & Facts

LocationSan Francisco, CA
Salary$204,500–$295,000 Per Year

Skills

  • Amazon Web Services (AWS)unmatched
  • Analysis Skillsunmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Agentsunmatched
  • Automationunmatched
  • Automation Systemsunmatched
  • Career Counselingunmatched
  • Cloud Computingunmatched
  • Communication Skillsunmatched
  • Compensation and Benefitsunmatched
  • Computer Networksunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Cross-Functionalunmatched
  • Customer/Client Researchunmatched
  • Data Managementunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Distributed Computingunmatched
  • Embedded Systemsunmatched
  • Financial Servicesunmatched
  • Functional Testingunmatched
  • GCP (Good Clinical Practices)unmatched
  • Geographyunmatched
  • Global Brandingunmatched
  • Healthcare Providersunmatched
  • Incident Managementunmatched
  • Information Technology & Information Systemsunmatched
  • Jenkinsunmatched
  • Leadershipunmatched
  • Load Testingunmatched
  • MCP - Microsoft Certified Professionalunmatched
  • Machine Toolunmatched
  • Marketingunmatched
  • Multiplatform/Cross-Platformunmatched
  • People Managementunmatched
  • Performance Managementunmatched
  • Performance Metricsunmatched
  • Product Strategyunmatched
  • Quality Assuranceunmatched
  • Quality Engineeringunmatched
  • Recruiting/Staffing Agencyunmatched
  • Root Cause Analysisunmatched
  • Scrum Project Management and Software Developmentunmatched
  • Software Testingunmatched
  • Standards Developmentunmatched
  • Tableauunmatched
  • Test Automationunmatched
  • Test Strategyunmatched
  • Testingunmatched

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