Sr. Engineering Manager, Sales Cloud

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! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary We are seeking a visionary Sr. Engineering Manager, Sales Cloud to lead our Salesforce engineering portfolio into the future. In this role, you will not just manage a team—you will redefine how our sales organization operates by infusing our Salesforce ecosystem with cutting-edge AI, Agentic frameworks, and Large Language Models (LLMs). You will own the technical architecture and delivery of our Sales Cloud platform, bridging the gap between deep sales domain expertise (Lead-to-Opportunity, Quote-to-Cash, Forecasting) and futuristic engineering practices. If you are an empathetic leader, a strategic architect, and a technologist passionate about driving automation and intelligence at scale, this is the role for you. This is an in office role in our HQ, Santa Clara, CA 3 days/week Key Responsibilities AI-Led Engineering: Actively research, prototype, and implement Generative AI tools, Agentic frameworks, and LLMs to enhance Sales Cloud functionalities, automate repetitive rep workflows, and drive proactive sales intelligence. Portfolio Ownership: Define and own the technical vision, roadmap, and architecture for our entire Salesforce Sales Cloud engineering portfolio. Futuristic Design: Lead the technical design of AI-driven projects—from initial proof-of-concepts and pilot programs to full-scale enterprise implementations. Sales Cloud Mastery: Oversee complex, highly scalable customizations within Sales Cloud, ensuring optimal performance for Lead Management, Opportunity Management, and Forecasting. Modern Development: Guide the team in executing complex development tasks using Apex, Lightning Web Components (LWC), and Flows. Push platform boundaries by strategically integrating external frameworks to solve unique UX challenges. Integration Strategy: Architect robust, high-volume data integrations between Salesforce and external enterprise systems (ERP, DataLake etc) using APIs (REST/SOAP/Bulk) and middleware (e.g., SnapLogic, MuleSoft), ensuring flawless data integrity across the quote-to-cash flow. Agile Leadership: Manage, mentor, and inspire a high-performing team of Salesforce developers and architects in a fast-paced Agile environment. Governance & DevOps: Institutionalize engineering best practices. Enforce strict DevOps standards (CI/CD, Git), conduct rigorous code reviews, and ensure all solutions align with security and data governance policies. Stakeholder Partnership: Collaborate intimately with Product Management, Sales Operations, and Business Leaders. Translate ambiguous business needs into concrete technical specifications, providing accurate effort sizing and alternative solutions to maximize ROI. Qualifications Required Qualifications 12+ years of experience in enterprise software engineering, with at least 8+ ye ... (truncated, view full listing at source)