Salesforce AI Use Case Developer

Role Overview

The AI Specialist / Vibe Coder role is a critical part of Fluence's GTM Technology and Automation team. The role involves designing and configuring AI agents, prototyping automation workflows, building Salesforce Flow logic, and shipping working proofs-of-concept in days.

Key Responsibilities

• Design, configure, and iterate on Agentforce agents for Sales use cases including account briefs, proposal support, and next-best-action recommendations
• Develop and maintain Salesforce Flow automations that reduce manual handoffs, enforce lifecycle rules, and surface timely signals to reps and managers
• Prototype rapid AI and automation proofs-of-concept for stakeholder review, with a target turnaround of one to three days per prototype
• Support third-party implementation partner(s) on AI-adjacent implementation decisions, acting as the business-side AI authority during platform builds
• Produce adoption aids and internal tooling including prompt guides, workflow reference materials, quick-start assistants, and in-platform help content
• Evaluate new LLM and agent capabilities continuously and translate them into practical, governed, high-value business improvements
• Collaborate with IT on security review, data access governance, and production deployment of all AI-powered workflows
• Partner with Sales and Marketing teams in discovery sessions to define automation requirements and validate that shipped solutions match real workflows

Required Qualifications & Experience

• 3+ years of hands-on experience with Salesforce automation, including Salesforce Flow, Process Builder, or equivalent declarative tools
• Demonstrated experience with LLM APIs, prompt engineering, or AI agent frameworks — you have built agents or automated workflows using language models
• Proven ability to deliver working prototypes rapidly from a standing start; a portfolio of things you have shipped matters more than certifications
• Comfortable working directly and frequently with non-technical commercial stakeholders to define requirements and validate solutions
• Solid grasp of data security and governance principles relevant to AI systems, including prompt injection risks, data access scoping, and audit logging

Additional Skills

• Hands-on experience with Salesforce Agentforce or Einstein Copilot agent configuration
• Experience with Gong, Demandbase, or similar GTM platforms and their integration patterns is a strong plus
• Experience working alongside third-party implementation partners in a sprint-based delivery model
• Background in energy, infrastructure, industrial SaaS, or other complex B2B environments