Sales force AI & Automation Specialist

Essential Functions:

• Own the AI lifecycle for your customer portfolio prompt optimization, guardrail management, drift monitoring, output tuning, and configuration governance from go-live through renewal.

• Maintain a configuration baseline registry for each customer, tracking deployed versions, change history, and performance against design intent.

• Lead Quarterly Technical Success Reviews, delivering ROI analysis, drift findings, upgrade impact assessments, and optimization roadmaps to customer stakeholders.

• Serve as the primary AI advisor for your portfolio, translating Agentforce capabilities into measurable business outcomes and guiding customers on what is achievable within their existing architecture.

• Leverage deep Salesforce platform knowledge Apex, Flows, LWC, data cloud/data 360, and custom configurations to diagnose issues and assess enhancement feasibility directly within customer environments.

• Own the AI lifecycle for your customer portfolio prompt optimization, guardrail management, drift monitoring, output tuning, and configuration governance from go-live through renewal.

• Own production deployment approval for all post-go-live configuration changes, ensuring no undocumented changes enter production environments.

• Provide guidance, troubleshooting, and support for general configuration questions and issues

Required Qualifications:

· 3+ years in a technical customer-facing role such as Customer Success, Solutions Engineering, or Technical Account Management.

· Hands-on Salesforce platform expertise including Apex code, Flows, Lightning Web Components (LWC), custom buttons, page layouts, validation rules, and declarative and programmatic customizations.

· Demonstrated experience configuring and troubleshooting Salesforce automation, including Screen Flows, Record-Triggered Flows, and Apex triggers in production environments.

· Working knowledge of Salesforce data model, object relationships, and integration patterns including REST/SOAP APIs and Platform Events.

· Demonstrated experience with prompt engineering, LLM behavior, or AI output optimization in a production environment.

· Ability to translate complex AI behavior and technical Salesforce configuration into clear business language for non-technical stakeholders.

· Strong documentation discipline with experience producing technical specifications, runbooks, or operational guides.

· Bachelor’s degree in information systems, computer science, business, or a related field, or equivalent demonstrated experience.

Preferred Qualifications:

· Salesforce Agentforce experience or Salesforce AI Associate / AI Specialist certification, or active pursuit.

· Experience with Data Cloud

· Salesforce Administrator or Platform Developer I certification or active pursuit.

· Experience with Salesforce Data Cloud including schema design, data streams, or unified profiles.

· Proficiency with Salesforce debugging tools including Developer Console, debug logs, and flow error handling.

· Familiarity with change management frameworks or enterprise AI governance models.

· Background in B2B SaaS with enterprise accounts and SOW-based delivery cycles.

· Exposure to AI lifecycle management including drift monitoring, guardrail design, and model version governance.

Join the A-Team and experience the A-Life!