Job Description

Your Career

As the Staff IT Salesforce Software Engineer, you will interface directly with business users and enterprise BSAs to understand business requirements, define solution architecture, create technical specs, design, develop, and implement solutions focused on the Salesforce platform. You will play a key role in leveraging advanced AI/ML capabilities to optimize Sales Cloud functionalities and drive data-driven insights.

We are looking for a rock star to work on one of the larger and more complex Salesforce implementations with lots of opportunities to learn new aspects of Salesforce, gain valuable experience, and make a huge impact in a fast-growing company.

You will apply an open communication and collaborative style and lead by example, being both customer-centric and service-minded, able to interact with end-users, executives, analysts, and technical colleagues – creating consensus and clear strategy where appropriate.

Your Impact

• Make it possible for the world’s leading cyber-security company to market, sell, quote, fulfill, and support amazing products that scale and protect our digital way of life in the era of Cloud Computing, Big Data, and AI
• Work with one of the larger Salesforce implementations, bringing your knowledge of how to develop high-quality solutions – and, more importantly, your hunger to learn and develop new technologies.
• Design and implement AI/ML-driven solutions within the Salesforce ecosystem to enhance sales processes, predictive analytics, lead scoring, and customer segmentation
• Collaborate with data scientists and business teams to identify opportunities for leveraging AI/ML to improve sales efficiency and effectiveness

Qualifications

Your Experience

• 5+ years of enterprise software coding experience with Salesforce platform technologies including:

  • Lightning Web Components (LWC) and Aura Components

  • Apex, Visualforce

  • REST APIs, SOQL, SOSL

  • Javascript (ES6+), CSS, HTML

  • Web design and UX design principles

• Hands-on, practical experience with the latest Salesforce Sales Cloud features and capabilities, including:

  • Sales Cloud (Salesforce CRM)

  • Salesforce Flow (Record-Triggered Flows, Screen Flows, Scheduled Flows)

  • Dynamic Forms & Dynamic Actions

  • Salesforce CPQ (Configure, Price, Quote)

  • Salesforce Revenue Cloud (CPQ & Billing)

  • Einstein AI capabilities within Sales Cloud (e.g., Einstein Activity Capture, Einstein Lead Scoring, Einstein Forecasting)

  • Experience with Salesforce APIs for integration (e.g., SOAP, REST, Bulk API)

• Demonstrable experience with AI/ML Data Science concepts and their application, including:

  • Understanding of machine learning algorithms.

  • Experience working with AI assistants

  • Familiarity with Python or R for data analysis and machine learning.

  • Experience with Salesforce Einstein Platform or other AI/ML platforms for building and deploying predictive models is highly desirable.

• Proven track record of delivering scalable, high-quality solutions on Salesforce – and the real-time ability to describe these solutions and iterate on them in the interview.

• Ability to work in a dynamic, fast-paced environment, pick up new skills quickly, and propose highly innovative solutions to a problem you have never seen before.

• Track record of creativity, problem-solving, and good time management.

• Ability to keep up with current technology trends to assess and make recommendations on processes, designs, operations, in keeping with the latest technology.

Additional Information

The Team

Working at a high-tech cybersecurity company in Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks.

We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.

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/commissioned roles) is expected to be between $124000/YR - $201500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

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.