Senior Manager, Quality Engineering at Palo Alto Networks

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.

Job Summary

Own & Lead Product Quality

• Quality Strategy & Vision: Define, implement, and evolve the comprehensive QA strategy, test frameworks, and quality metrics across all product lines.

• End-to-End Ownership: Take ultimate accountability for the quality of releases, ensuring software is scalable, secure, and high-performing.

• Cross-Functional Collaboration: Partner closely with Product Management, Engineering, and DevOps to embed quality standards early in the SDLC (Shift-Left approach).

• Risk Management: Identify, assess, and mitigate product quality risks before they impact production.

Drive AI Transformation & Innovation

• AI Tool Integration: Research, evaluate, and implement cutting-edge AI/ML-driven testing tools and generative AI utilities to optimize test case generation, execution, and maintenance.

• Team Upskilling: Act as a mentor and change agent, designing training pathways to help traditional manual and automation QA engineers transition into AI-augmented testing roles.

• Smart Automation: Evolutionize existing automation frameworks by incorporating predictive analytics, self-healing test scripts, and intelligent bug-clustering.

• Efficiency Metrics: Establish baseline metrics to measure the ROI, speed, and accuracy improvements gained through AI adoption.

People & Team Leadership

• Mentorship & Culture: Foster a high-performance culture rooted in continuous learning, innovation, and psychological safety.

• Resource Planning: Manage headcount, budget, and resource allocation across multiple agile squads.

• Performance Management: Set clear goals, conduct regular performance reviews, and guide career development for QA leads and engineers.

Qualifications

• 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).

Technical Skills

• 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).

Soft Skills

• Change Management: Exceptional ability to guide teams through organizational and technological shifts with empathy and clarity.

• Strategic Thinker: Ability to balance long-term AI innovation with the daily demands of product shipping.

• Communication: Crisp and compelling communication skills, capable of explaining complex AI concepts to stakeholders and engineering teams alike.

What We Offer

• Opportunity to pioneer the future of QA in a forward-thinking environment.

• Competitive salary, equity package, and comprehensive benefits.

• Dedicated budget for AI tools, training, and professional development.

• Flexible/hybrid work environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$185,000.00 - $298,000.00/yr

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship?: Yes