Senior Manager, Quality Engineering

Product Quality Ownership And Leadership

Own & lead product quality by defining, implementing, and evolving 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 Dev Ops to embed quality standards early in the SDLC (Shift-Left approach). Identify, assess, and mitigate product quality risks before they impact production.

Drive AI Transformation & Innovation by researching, evaluating, and implementing 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.

People & Team Leadership involves fostering 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.

Qualifications include 10+ years of experience in Software Quality Assurance, with at least 5+ years in a dedicated people management or leadership role. A proven track record of owning product quality end-to-end for scalable SaaS, cloud, or enterprise applications is required. Demonstrated experience leading a team through a significant technological pivot (e.g., manual-to-automation or automation-to-AI transition) is also necessary.

Technical Skills encompass deep expertise in modern automation frameworks (e.g., Playwright, Selenium, Pytest) and CI/CD pipelines (Jenkins, Git Lab). A strong conceptual and practical understanding of how Generative AI, LLMs, and ML tools can be applied to the testing lifecycle is required. A solid grasp of coding/scripting languages (Python, JavaScript, or Java) is also necessary.

Soft Skills include exceptional ability to guide teams through organizational and technological shifts with empathy and clarity. The role requires a balance of long-term AI innovation with the daily demands of product shipping. Crisp and compelling communication skills are essential to explain complex AI concepts to stakeholders and engineering teams alike.

Opportunity to pioneer the future of QA in a forward-thinking environment. Competitive salary, equity package, and comprehensive benefits. A 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.

$ - $/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 accomm

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