**Our Mission** At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. **Who We Are** We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. **Your Career** We are looking for an experienced and dynamic Senior Manager of Quality Engineering who will lead our AI-First QE strategy for our Go-to-Market (GTM) and Customer Success platforms and processes. This pivotal role requires a deep understanding of Salesforce applications (Sales Cloud, Service Cloud, CPQ) and the end-to-end Quote-to-Cash (QTC) lifecycle. The ideal candidate will be instrumental in transforming our quality practices by pioneering the adoption of AI and Machine Learning techniques to ensure the highest standards of product reliability, performance, and user experience for our revenue-generating and customer-facing systems. **Your Impact** Strategic Leadership & Vision (AI-First QE): + Define and execute an AI-first Quality Engineering strategy and roadmap for GTM and Customer Success domains, aligning with overall business objectives and product roadmaps + Champion the adoption of cutting-edge AI/ML technologies and methodologies (e.g., predictive analytics, generative AI for test data/case generation, self-healing automation, anomaly detection) to enhance testing efficiency, coverage, and effectiveness + Drive a culture of quality, continuous improvement, and innovation across the GTM and Customer Success engineering teams + Pursue the build and adoption of 100% automation for all quality engineering efforts Domain Expertise & Application Knowledge: + Lead Quality Engineering for critical business processes within GTM (e.g., Lead-to-Opportunity, Sales Forecasting, Marketing Automation integrations) and Customer Success (e.g., Case Management, Service Delivery, Customer Support Portals) + Possess deep application knowledge of Salesforce Sales Cloud, Service Cloud, and Salesforce CPQ (Configure, Price, Quote), ensuring robust quality assurance for customizations, integrations, and upgrades + Demonstrate a strong hold on the end-to-end Quote-to-Cash (QTC) process, including quoting, order management, contract management, billing, and revenue recognition, ensuring seamless and accurate data flow and functionality across integrated systems AI-First QA/QE Implementation: + Oversee the design, development, and maintenance of advanced AI-driven test automation frameworks and tools tailored for Salesforce and QTC processes + Implement AI-powered solutions for intelligent test case prioritization, risk-based testing, and automated defect prediction + Drive the use of AI/ML for test data management, including synthetic data generation and data anonymization, to ensure comprehensive and secure testing + Leverage AI for continuous monitoring of production systems to proactively identify and address quality issues related to GTM and Customer Success workflows Team Management & Development: + Lead, mentor, and grow a high-performing team of Quality Engineers, fostering their expertise in both traditional QE practices and emerging AI/ML applications + Define clear roles, responsibilities, and performance metrics for the team, ensuring accountability and continuous professional development + Conduct performance reviews, provide constructive feedback, and facilitate career growth opportunities for team members Cross-functional Collaboration & Stakeholder Management: + Collaborate closely with Product Management, Engineering, DevOps, Sales Operations, Customer Success, and other business stakeholders to ensure a shared understanding of quality requirements and delivery timelines + Communicate complex technical concepts and quality insights effectively to both technical and non-technical audiences, influencing decision-making at all levels + Act as a key advocate for quality throughout the entire software development lifecycle Process Improvement & Metrics: + Establish and monitor key quality metrics and KPIs for GTM and Customer Success platforms, using AI-driven insights to identify trends and areas for improvement + Continuously evaluate and optimize QE processes, tools, and methodologies to enhance efficiency, reduce costs, and accelerate time-to-market + Ensure adherence to industry best practices, compliance standards, and regulatory requirements relevant to financial transactions and customer data **Your Experience** + 15+ years of progressive experience in Quality Engineering or Software Development, with at least 5 years in a leadership/management role + Proven experience in Quality Engineering for Go-to-Market (GTM) and Customer Success domains. + Extensive hands-on experience with Salesforce applications (Sales Cloud, Service Cloud, CPQ) and their associated testing strategies + Strong understanding and practical experience with Quote-to-Cash (QTC) processes and related enterprise systems + Demonstrable experience in implementing and leading AI-driven quality assurance initiatives, including familiarity with relevant AI/ML concepts, tools, and frameworks + Expertise in test automation frameworks, CI/CD pipelines, and modern software development methodologies (Agile, DevOps) + Excellent analytical, problem-solving, and decision-making skills + Exceptional communication, interpersonal, and leadership abilities, with a proven track record of building and motivating high-performing teams + Bachelor’s degree in computer science, information technology, or related field or equivalent military experience required, A Master’s degree is preferred **The Team** Our IT Quality assurance team is responsible for ensuring that high quality products are delivered to our business users. They are the first line of defense in vetting any new product build and assisting our engineers build reliable and scalable solutions. It's a critical function which will enable all of IT to execute with excellence, at a faster pace without compromising the delivery quality. **Our Commitment** We’re problem solvers that 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.