Back
Metro location and generic senior engineering title increase competition, offset by specialized Salesforce AI/Data Cloud requirements.
High because deep Salesforce, Revenue Cloud, Data Cloud and integrations specialization reduces cross-industry portability.
High due to extensive mandatory Salesforce platform, integration, and AI/Data Cloud expertise requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable, secure Salesforce applications across multiple Clouds including Sales Cloud, Service Cloud, Revenue Cloud, Experience Cloud, and CLM.
Build AI-powered business processes leveraging Agentforce, Einstein AI, Prompt Builder, and AI-assisted automation to enhance workflows and personalization.
Lead architecture and implementation of complex Salesforce solutions including integrations, automation, performance optimization, and mentoring junior engineers.
Strong expertise in Salesforce platform development including Apex, Lightning Web Components, Salesforce Flows, and APIs.
Experience developing enterprise solutions within Sales Cloud, Service Cloud, Revenue Cloud, Experience Cloud, and Contract Lifecycle Management.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to design and implement AI-powered automation and Salesforce Data Cloud capabilities.
Experienced in architectural design and implementation of scalable, enterprise-grade Salesforce solutions.
Skilled in integrating AI technologies like Einstein AI and Agentforce into business workflows.
Capable of leading engineering initiatives including code reviews, performance tuning, and mentoring within Agile product teams.