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Salesforce Admin & AI Architect, RevOps

Job in Chandler, Maricopa County, Arizona, 85249, USA
Listing for: Lotlinx
Full Time position
Listed on 2026-07-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 120000 USD Yearly USD 110000.00 120000.00 YEAR
Job Description & How to Apply Below

Since our founding in 2012, Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cutting-edge data and technology, delivering a distinct market advantage for every single vehicle transaction. Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management.

Lotlinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and career development opportunities.

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 Rev Ops 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 Rev Ops 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 Rev Ops 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 Rev Ops 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 Lang Graph, CrewAI, or Auto Gen.
  • 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 Rev Ops 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 Rev Ops 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…
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