Salesforce Developer

Description:

As the primary Salesforce Developer, you’ll design, build, and enhance scalable Salesforce solutions that support intelligent automation, unified data, and AI-powered workflows. You will collaborate closely with business and technical stakeholders, leading development initiatives that streamline operations, improve data quality, and unlock actionable insights.

What You’ll Do

• Serve as the lead Salesforce Developer across Service Cloud, Sales Cloud, and Data Cloud (Data 360)
• Design and develop Apex, Lightning Web Components (LWC), integrations, and platform automations
• Build and optimize Agentforce agentic AI workflows to automate complex business processes
• Implement data ingestion, data modeling, harmonization, and activation to create AI-ready datasets
• Integrate Salesforce with CLM platforms (e.g., Conga) and other enterprise systems
• Partner with business stakeholders to translate requirements into scalable, high-impact solutions
• Proactively improve system performance, scalability, and data integrity
• Collaborate with cross-functional teams to deliver enhancements and resolve issues
• Manage and prioritize development work using Jira in an Agile environment
• Support adoption through thoughtful change management and technical leadership

What You Bring

Minimum Qualifications

• 5+ years of experience as a Salesforce Developer or similar technical role
• Strong hands-on experience with Service Cloud and Sales Cloud
• Experience supporting technology initiatives in or alongside pharmaceutical or drug manufacturing organizations
• Solid understanding of healthcare operations and complex buying environments
• Salesforce Platform Developer I Certification (preferred)

Critical Skills & Expertise

• Advanced Salesforce development (Apex, LWC, integrations, automation)
• Hands-on experience with Data Cloud (Data 360), including data modeling and activation
• Proven experience building Agentforce agentic AI workflows
• Strong understanding of enterprise data architecture and AI-ready data preparation
• Experience integrating Contract Lifecycle Management (CLM) tools such as Conga
• Excellent analytical, problem-solving, and communication skills
• Ability to manage competing priorities and deliver high-value outcomes
• Natural curiosity and creativity in connecting data, AI, and automation