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LiveRamp

Identity platform enabling people-based marketing

Director, Quality Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$204.5k - $295k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, or a related field is required.
  • 12–15+ years of experience in software quality or test engineering.
  • 5–8+ years of experience in quality engineering leadership or people management, including building and scaling quality engineering organizations of 40+ engineers.
  • Deep expertise in functional, integration, end-to-end, performance/load, and robustness test strategy.
  • Experience owning release quality for large-scale distributed and data systems, including cloud infrastructure such as Google Cloud Platform, Kubernetes, and Amazon Web Services.
  • Experience with continuous integration and continuous delivery platforms such as Jenkins, Spinnaker, and 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 and partnering with quality engineering embedded in scrum teams.

Responsibilities

  • Own end-to-end product quality strategy and execution across infrastructure, platform, data, application, APIs, agents, and Model Context Protocol-based systems.
  • Lead and grow a quality engineering organization of 40+ engineers and managers, including hiring, coaching, building career paths, and managing performance.
  • Drive AI-led transformation of quality engineering processes and tooling across the organization.
  • Define and enforce standard quality engineering practices, frameworks, and quality gates across all product lines.
  • Own observability platform strategy across all layers, including 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, Infrastructure, and Security leadership to align quality strategy with business goals.
  • Report on quality metrics, release risk, and readiness to senior leadership.
  • Reduce production incidents tied to quality gaps, increase automated test coverage across platform, data, infrastructure, application, and agent surfaces, improve release predictability, and advance the organization's AI transformation roadmap.

Desired Qualifications

  • A master's degree in Engineering or a Master of Science in Quality Assurance is preferred.
  • 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 and analytics tools such as Tableau.
  • Experience working with or overseeing testing for AI agents and Model Context Protocol-based systems.

About the Company

LiveRamp

Identity platform enabling people-based marketing

LiveRamp provides an identity platform used by brands and their partners to connect people, data, and devices across both digital and physical spaces for more precise marketing. Its core product handles data onboarding, identity resolution, and data connectivity, helping customers unify fragmented data from multiple sources through a subscription-based platform. The system links various identifiers to create a people-based marketing graph, enabling targeted campaigns while emphasizing privacy and safe data use, and it integrates with a wide ecosystem of technology partners. This combination sets LiveRamp apart from competitors by prioritizing trusted identity with strong privacy controls and broad partner integrations. The company's goal is to help businesses deliver personalized customer experiences by connecting data in a privacy-conscious, scalable way.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2011

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