Senior Manager, AI Quality Engineering

Responsibilities

• Lead and develop an organization of engineering managers, software engineers, and quality engineers responsible for test infrastructure, automation, and product-quality validation.
• Define the vision, strategy, and multi-year roadmap for quality engineering and shared testing platforms across Samsara.
• Build scalable, self-service test infrastructure—including frameworks, environments, test data, device and service simulators, and CI/CD integrations—that can be adopted by engineering teams across the company.
• Establish measurable quality outcomes, including escaped-regression rates, automated coverage, test reliability, time to signal, defect-detection effectiveness, and release confidence.
• Drive a shift-left quality strategy that improves system testability and makes quality an integral part of architecture, development, code review, and continuous delivery.
• Partner with product engineering teams to identify high-risk customer journeys, close critical coverage gaps, and prevent recurring classes of regressions.
• Improve the reliability and usefulness of automated testing by reducing flaky tests, shortening feedback loops, and making failures easy to diagnose and act upon.
• Ensure Quality Engineering ICs have effective tooling and operating mechanisms for exploratory testing, complex end-to-end validation, release qualification, and regression analysis.
• Introduce intelligent and AI-assisted capabilities for test generation, failure classification, root-cause analysis, coverage identification, and quality insights.
• Build a strong technical and leadership bench by hiring, coaching, and developing inclusive, highly engaged, and high-performing teams.

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