Palo Alto Networks

Senior Manager, Quality Engineering

Palo Alto Networks$185K — $298K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in Software Quality Assurance, with 5+ years in leadership roles.
  • Proven track record of managing product quality for scalable SaaS or cloud applications.
  • Experience leading teams through significant technological changes such as automation or AI integration.
  • Strong expertise in modern automation frameworks like Playwright and Selenium.
  • Knowledge of CI/CD pipelines and coding languages including Python and Java.

Responsibilities

  • Define and implement a comprehensive QA strategy across product lines.
  • Take accountability for release quality, ensuring scalability and security.
  • Collaborate with Product, Engineering, and DevOps to integrate quality early in development.
  • Identify and mitigate product quality risks pre-production.
  • Research and implement AI-driven testing tools to enhance QA processes.
  • Mentor teams and create training pathways for AI-Augmented testing transitions.
  • Establish performance metrics to assess AI adoption impact on testing efficiency.

Benefits

  • Opportunity to shape the future of QA in an innovative environment.
  • Dedicated budget for AI tools and professional development.
  • Flexible hybrid work arrangement.
Full Job Description
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

Is role eligible for Immigration Sponsorship?: Yes

About Palo Alto Networks

Palo Alto Networks, Inc. is an American multinational cybersecurity company with headquarters in Santa Clara, California. Its core products are a platform that includes advanced firewalls and cloud-based offerings that extend those firewalls to cover other aspects of security. The company serves over 70,000 organizations in over 150 countries, including 85 of the Fortune 100. It is home to the Unit 42 threat research team and hosts the Ignite cybersecurity conference.
Learn more about Palo Alto Networks
Size
11,870 employees
Market Cap
$42.6 billion
Industry
Net Income
-$368.2 million
Founded
2005
5 Year Trend
+25.7%
Revenue
$3.7 billion
NASDAQ

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