Must-Haves

• 5+ years of hands-on Salesforce development experience with Apex, Lightning Web Components (LWC), and Visualforce.
• Strong knowledge of Salesforce Flows, data modeling, reporting, dashboards, and platform security, including roles, profiles, and permissions.
• Experience building enterprise integrations using REST/SOAP APIs and middleware.
• Experience with AI/ML concepts and enterprise platforms such as Einstein AI, Salesforce Data Cloud, or an equivalent, plus an understanding of data pipelines.
• Experience delivering in an Agile environment and owning code quality through testing and peer reviews.
• Bachelor’s degree in Computer Science, Engineering, or a related field and a Salesforce Platform Developer certification.

Plusses

• Experience shipping AI-enabled CRM features such as forecasting, recommendations, or workflow automation.
• Experience with MuleSoft, Oracle integrations, or ServiceNow.
• Salesforce Platform Developer II, Application Architect, System Architect, or AI/Data Cloud certifications.

Day-to-Day

• Design, build, test, and deploy Salesforce applications, integrations, and enhancements supporting Sales, Marketing, and Engineering.
• Lead technical design for real-time and batch integrations. Guide data modeling, performance, and platform design decisions.
• Partner with business and data teams to identify AI use cases, shape the Salesforce AI roadmap, and design solutions with appropriate data governance and security.
• Mentor developers, review code and designs, and maintain technical documentation and runbooks.
• Support releases, troubleshoot production issues, and lead root-cause analysis. Travel and occasional after-hours release support may be required.