Palo Alto Staff Software Engineer Service Cloud 

United States, California 

731484029

Being the cybersecurity partner of choice, protecting our digital way of life.

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.

Your Experience

• Demonstrated experience with full-stack custom application development (React and Node.js), including architecting and building robust, scalable solutions from the ground up.

• 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 Service Cloud features and capabilities, including:

  • Service Cloud (Salesforce CRM)

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

  • Dynamic Forms & Dynamic Actions

• 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, with the ability to describe these solutions and iterate on them effectively in an interview setting.

• Ability to work in a dynamic, fast-paced environment, quickly acquire new skills, and propose highly innovative solutions to unfamiliar problems.

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

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

• Bachelor’s degree OR equivalent experience.

All your information will be kept confidential according to EEO guidelines.

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 - $201500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.