What You Will Do

• Design and build complex Salesforce Flows, validation rules, and automation to support Sales, Customer Success, Finance, and Contract Management processes
• Develop Apex classes, triggers, batch jobs, and Lightning Web Components for requirements that go beyond declarative capabilities
• Own the technical design of CPQ solutions including product configuration, pricing rules, quote templates, and contract amendments
• Build and maintain integrations between Salesforce and third-party systems using REST/SOAP APIs and middleware platforms such as MuleSoft
• Manage deployments across sandbox and production environments using CI/CD best practices and change sets
• Take ownership of technical design decisions, ensuring solutions are scalable, maintainable, and aligned with Salesforce best practices
• Contribute to platform governance data model design, security model, profile and permission set architecture, and org health
• Partner with the Process team to review business requirements early and identify technical risks before build begins
• Define and document technical specifications that junior developers and admins can execute against
• Act as a technical reviewer for peer work and contribute to raising the overall quality bar of the team
• Work directly with business stakeholders across Sales, CS, Finance, and Operations to understand requirements and translate them into well-scoped technical solutions
• Participate in business process design sessions and contribute a technical perspective to how processes should be structured before they are built
• Communicate technical decisions clearly to non-technical stakeholders explaining trade-offs, constraints, and recommendations in plain language
• Use AI tools (e.g. Einstein, Agentforce, or third-party LLM integrations) to enhance forecasting, opportunity scoring, and automated content generation within Salesforce
• Evaluate and prototype AI-assisted workflows such as intelligent lead routing, AI-generated task recommendations, and automated data enrichment and assess their suitability for production
• Stay current with Salesforce AI developments and contribute ideas on where AI can replace manual processes or improve data quality within the existing architecture