Sr. Engineering Manager, Sales Cloud

Palo Alto Networks

1d • Onsite

About The Position

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

Requirements

• 12+ years of experience in enterprise software engineering, with at least 8+ years specialized in Salesforce architecture and development.
• 3+ years of direct engineering management experience, successfully leading technical teams and managing complex project portfolios.
• Deep Sales Domain Expertise: Extensive hands-on experience implementing and optimizing Salesforce Sales Cloud, with a profound understanding of enterprise sales processes (e.g., complex sharing models, territory management, quote-to-cash).
• Modern SFDC Stack: Expert-level proficiency in Apex (Triggers, Batch, Asynchronous), LWC, Aura Components, SOQL, and robust security models.
• Integration & Middleware: Hands-on experience with complex integration patterns, APIs, and enterprise middleware platforms (strong preference for SnapLogic or similar orchestration tools).
• AI/LLM Proficiency: Demonstrable practical knowledge of Generative AI architectures. Proven experience designing, integrating, or prototyping LLMs and AI-driven features within an enterprise business context.
• Agentic Frameworks: Familiarity with Agentic AI concepts and a proactive enthusiasm for bringing autonomous AI solutions into the Salesforce ecosystem.
• Analytical Rigor: Exceptional problem-solving skills with a track record of troubleshooting and resolving complex, high-stakes technical issues.
• Communication: Excellent interpersonal skills with the ability to articulate highly technical concepts (like AI architectures) to non-technical business stakeholders seamlessly.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager