Job Summary
Our CRM team has spent years building a Salesforce foundation that is incredibly rare: clean data models, well-architected automation, and rock-solid processes across Sales, Marketing, and Finance.
Instead of scaling our operations through linear, traditional headcount, we are building an AI-first RevOps engine. We are looking for a Admin & AI Architect to step into this custom-built environment and build specialized, autonomous AI agents that handle complex Salesforce administration, data analysis, and custom development. These agents will serve as a digital workforce, empowering our RevOps team by automating complex tasks in Salesforce administration, data analysis, and custom development. This is a rare opportunity to pioneer a self-governing system within a clean CRM environment. You are not just building tools; you are architecting a digital workforce that acts as a massive force multiplier for our entire organization.
Key Responsibilities
You will be the architect and admin of Lotlinx's autonomous RevOps engine, focused on designing, deploying, and governing a fleet of AI agents in addition to administration of our Salesforce platform.
- Define the AI integration strategy across the full RevOps stack, identifying where multi-step agent workflows can completely automate heavy manual processes.
- Serve as the absolute authority on AI and Salesforce architecture, ensuring our org design is optimized for LLMs and agentic interaction.
- Establish rigorous guardrails and evaluation frameworks to ensure AI-generated configurations, code, and documentation meet a flawless production bar before deployment.
- Lead the evaluation of bespoke third-party agent frameworks versus native AI tooling with a strong preference for external agents to ensure Lotlinx leads the industry in autonomous operations.
Qualifications
- Bachelor’s degree or equivalent professional experience.
- Deep Salesforce fluency (2+ years in admin/developer type roles) where you've written complex Apex, navigated metadata APIs, and understand what breaks an enterprise org. We care about depth of knowledge over years on a resume (admin/architect certs preferred).
- You have hands-on experience building autonomous multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen.
- Deep understanding of prompt engineering, RAG architectures, and routing logic using the OpenAI or Anthropic APIs.
- You see the whole board. You know how to break down a complex RevOps problem into discrete, automatable tasks that a digital worker can execute safely.
- Comfort writing and reviewing code across Python (for AI orchestration) and Apex/JavaScript (for Salesforce).
- Bonus points for candidates who are actively excited about utilizing Claude / Claude Code for complex multi-agent logic and code generation, rather than just general framework users.
A Note on Experience:
We value production scars over a list of certifications. We want the person who has actually tried to put an autonomous agent into a production environment, broke things, learned from it, and knows how to build the necessary guardrails.
How Success is Measured
- Is the RevOps engine shipping faster and more reliably because your agents are handling the heavy development and administrative load?
- Your agents operate behind robust human-in-the-loop guardrails and automated test coverage that you designed. Regressions don't reach production because your review architecture catches them first.
- Are Finance, Marketing, Sales, Account Management and Product Operations getting compounding value from Salesforce via the intelligent systems you’ve deployed?