- Serve as the primary point of contact for user-facing support escalations
- Manage back-end hand-offs and provide a seamless resolution touchpoint to end users
- Build and leverage AI tools for diagnosis, reproduction, root-cause analysis, and continuous improvement
- Apply AI tools to Salesforce configuration and support workflows
- Evaluate AI-generated outputs, prompt quality, knowledge-base accuracy, and agent response performance
- Explore and prototype new AI capabilities and agentic workflows
- Administer and configure Salesforce Service Cloud declaratively, including Flow Builder and metadata-driven solutions
- Monitor integration touchpoints, authentication, and API-level failures
- Partner with engineering teams to resolve integration issues
- Maintain and troubleshoot complex, critical custom-built Service Cloud solutions
- Execute go-to-market rollouts, training, support planning, launch, and hypercare activities
- Implement product onboarding, support operations infrastructure, prioritization, and feedback loops
- Run UAT testing from a user-experience perspective
- Partner with Operations on Model Context Protocol (MCP) integrations
- Drive user engagement, adoption, and product recommendations
- Review case trends and identify adoption-improvement opportunities
- Maintain expertise in product functionality, roadmap, release cycles, UAT, outages, engineering hand-offs, and case workflows
- Translate user feedback into product improvement recommendations
- Own continuous improvement of user-facing and internal knowledge bases
Requirements
- Salesforce Service Cloud Certification (Administrator or Service Cloud Consultant, or current equivalent), or hands-on experience configuring Salesforce, building integrations, and working AI/API-driven workflows in lieu of certification
- Comfortable reading API logs and debug logs to trace authentication and integration failures, including OAuth 2.0 token issues
- Able to read and interpret Apex classes and HTTP callouts well enough to diagnose issues, reproduce them, and hand them off to engineering with clear reproduction paths and supporting logs
- Hands-on experience with AI tools such as Claude and ChatGPT and agentic AI systems, including prompt building and AI-assisted workflows
- Combined 3–5+ years of product support, Salesforce administration, or related technical support experience; less accepted with an accompanied recommendation
- Preferred: Comfortable working in Lightning Web Components (LWC) and legacy Aura
- Preferred: Hands-on experience with VS Code, Postman, or Developer Console
- Preferred: Working understanding of Data Cloud fundamentals
- Preferred: Experience building or experimenting with Agentforce or MCP (Model Context Protocol)
- Preferred: Comfortable with Azure DevOps, Jira, MoveWorks, and ServiceNow or similar tools
- Growth-oriented and proactive, respecting chain of command
- Seeks and incorporates feedback
- Values documentation and change-management communication
- Strong presentation skills
- Able to work independently, take ownership, and take direction from a peer-level lead
Core Competencies
Demonstrates expertise in Salesforce Service Cloud administration and configuration, with a strong focus on AI tools for support workflows and user engagement. Capable of managing integrations, troubleshooting complex solutions, and driving continuous improvement through user feedback and data analysis.
Highest-signal resume keywords
- Salesforce Service Cloud Certification
- AI Tools Experience (Claude, ChatGPT)
- Salesforce Administration
- API Debugging and Integration
- User Acceptance Testing (UAT)
ATS Optimization Keywords
Hard Skills
- Salesforce Configuration
- AI-Driven Workflows
- Apex Classes Interpretation
- Integration Troubleshooting
- Flow Builder
- Lightning Web Components (LWC)
- Data Cloud Fundamentals
- Agentforce
- Model Context Protocol (MCP)
- Prompt Building
Soft Skills
- Proactive Attitude
- Strong Presentation Skills
- Feedback Incorporation
- Ownership
- Independent Work
Certifications & Qualifications
- Salesforce Service Cloud Certification
Industry Keywords
- User Engagement
- Product Support
- Continuous Improvement
- Knowledge Base Management