Senior Manager, Quality Engineering

Palo Alto Networks•Santa Clara, CA

3d•$185,000 - $298,000•Remote

About The Position

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.

Requirements

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.

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.