Director, Quality Engineering

LiveRamp; San Francisco (CA); Presencial; USD 205.000 - 295.000; Jornada completa

Descripción de la vacante

LiveRamp is seeking a Director of Quality Engineering to lead a 40+ person QE organization across infrastructure, platform, data, and applications. You will own testing strategy, governance, and AI-driven transformation while partnering with engineering and security leadership to align quality with business goals.

The role emphasizes executive communication, scalable QA practices, and overseeing observability, incident management, and release readiness for a data collaboration platform trusted

Formación

• Bachelor's degree in Computer Science, Information Technology, or a related field is required; a Master's degree is preferred.
• 12-15+ years of software quality/test engineering experience.
• 5-8+ years in QE leadership or people management, scaling QE orgs of 40+ engineers.
• Deep test strategy expertise across Functional, Integration, E2E, Performance/Load, Robustness.
• Experience owning release quality for large-scale distributed/data systems (GCP/Kubernetes/AWS).
• Experience with CI/CD platforms (Jenkins/Spinnaker/CircleCI) and scale testing infra.
• Experience setting up Observability tooling across frameworks, monitoring, alerting.
• Experience leading Incident Management and governance/compliance practices.
• Strong executive communication and stakeholder management.

Responsabilidades

• Own end-to-end Product Quality strategy and execution across multiple layers and systems.
• Lead and grow QE organization of 40+ engineers and managers; hire and coach.
• Drive AI-led transformation of QE processes and tooling across the org.
• Define and enforce standard QE practices, frameworks, and quality gates.
• Own Observability platform strategy across all layers; test coverage and monitoring.
• Own Incident Management processes for quality-related issues; RCA and prevention.
• Own governance/audit processes for Product Quality compliance and reporting.
• Partner with Engineering, Product, Infra, and Security to align QE with business goals.
• Report quality metrics, release risk, and readiness to senior leadership.

Conocimientos

Leadership

Quality strategy

Executive communication

Agile / Scrum

QE leadership

AI in QE

Educación

Bachelor's degree in CS/IT

Master's degree in Engineering or QS

Herramientas

Jenkins

Spinnaker

CircleCI

LogDNA

Datadog

Kibana

Tableau

Descripción del empleo

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 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 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 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.

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