Sr. Engineering Manager, Sales Cloud

Palo Alto Networks, Inc.; Santa Clara (CA); On-site; USD 178,000 - 288,000; Full time

Job summary

Palo Alto Networks, Inc. is seeking a Sr. Engineering Manager for their Sales Cloud portfolio in Santa Clara, CA. This position involves redefining how the sales organization operates by integrating AI and modern frameworks into Salesforce. The ideal candidate will have over 12 years of experience in software engineering, specializing in Salesforce, along with proven leadership skills. Compensation ranges from $178,000 to $288,000 annually, depending on qualifications and experience. This is an in-office role, with a commitment to diversity and inclusion.

Qualifications

• 12+ years of experience in enterprise software engineering, with at least 8+ years in Salesforce.
• 3+ years of direct engineering management experience.
• Deep Sales Domain Expertise with Salesforce Sales Cloud.

Responsibilities

• Lead AI-driven engineering initiatives for Sales Cloud.
• Own the technical vision for Salesforce Sales Cloud portfolio.
• Oversee customizations and ensure optimal performance.

Skills

Salesforce architecture

AI-driven features

Agile management

Integration patterns

Problem-solving

Education

Bachelor’s degree in Computer Science or related field

Tools

Apex

Salesforce Sales Cloud

Lightning Web Components

SnapLogic

MuleSoft

Job description

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+ 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).

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.

$178,000.00 - $288,000.00/yr

Our Commitment

We’re trailblazers that dream big, 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 [e-mail].

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.