[Remote] Senior Manager, Quality Engineering

Note: The job is a remote job and is open to candidates in USA. Palo Alto Networks is dedicated to protecting the digital way of life through innovative technology and collaboration. They are seeking a Senior Manager of Quality Engineering to define and implement comprehensive QA strategies, ensure the quality of software releases, and drive AI transformation within the organization.

Responsibilities

• Define, implement, and evolve the comprehensive QA strategy, test frameworks, and quality metrics across all product lines
• Take ultimate accountability for the quality of releases, ensuring software is scalable, secure, and high-performing
• Partner closely with Product Management, Engineering, and DevOps to embed quality standards early in the SDLC (Shift-Left approach)
• Identify, assess, and mitigate product quality risks before they impact production
• Research, evaluate, and implement cutting-edge AI/ML-driven testing tools and generative AI utilities to optimize test case generation, execution, and maintenance
• Act as a mentor and change agent, designing training pathways to help traditional manual and automation QA engineers transition into AI-augmented testing roles
• Evolutionize existing automation frameworks by incorporating predictive analytics, self-healing test scripts, and intelligent bug-clustering
• Establish baseline metrics to measure the ROI, speed, and accuracy improvements gained through AI adoption
• Foster a high-performance culture rooted in continuous learning, innovation, and psychological safety
• Manage headcount, budget, and resource allocation across multiple agile squads
• Set clear goals, conduct regular performance reviews, and guide career development for QA leads and engineers

Skills

• 10+ years of experience in Software Quality Assurance, with at least 5+ years in a dedicated people management or leadership role
• Proven track record of owning product quality end-to-end for scalable SaaS, cloud, or enterprise applications
• Demonstrated experience leading a team through a significant technological pivot (e.g., manual-to-automation or automation-to-AI transition)
• Deep expertise in modern automation frameworks (e.g., Playwright, Selenium, Pytest) and CI/CD pipelines (Jenkins, GitLab)
• Strong conceptual and practical understanding of how Generative AI, LLMs, and ML tools can be applied to the testing lifecycle
• Solid grasp of coding/scripting languages (Python, JavaScript, or Java)
• Exceptional ability to guide teams through organizational and technological shifts with empathy and clarity
• Ability to balance long-term AI innovation with the daily demands of product shipping
• Crisp and compelling communication skills, capable of explaining complex AI concepts to stakeholders and engineering teams alike

Benefits

• Equity package
• Comprehensive benefits
• Dedicated budget for AI tools, training, and professional development
• Flexible/hybrid work environment
• Restricted stock units
• Bonus

Company Overview

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