Senior Manager, IT QA , Opportunity to Revenue
Senior Manager, IT QA , Opportunity to Revenue
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Job Description
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.
Qualifications :
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.
Bachelors degree in computer science information technology or related field or equivalent military experience required A Masters degree is preferred
Additional Information :
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. Its a critical function which will enable all of IT to execute with excellence at a faster pace without compromising the delivery quality.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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 .
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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
