AI Business Operations Expert - Mexico City (Hybrid)

About the company

Clara is a Mexico-based fintech that provides corporate cards and AI-powered spend-management software to medium and large enterprises across Latin America.

About this role

<div class="content-intro"><h2><strong data-start="314" data-end="386">Ready to accelerate your career?</strong></h2> <div> <p data-start="563" data-end="823">Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.</p> <p data-start="563" data-end="823">Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.&nbsp;<br><br>We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.</p> </div></div><h3 data-path-to-node="1">What you'll do</h3> <p data-path-to-node="2">We're looking for an <strong data-path-to-node="2" data-index-in-node="21">AI Business Operations Expert</strong> to join Clara Ops and architect a new era of how we run the company. This is a highly strategic, senior individual contributor role. You will be the visionary who spots where human effort can be optimized by machines—and then designs, deploys, and scales the enterprise-grade systems that make it happen. Sitting at the intersection of strategy, automation, and execution, you will work across leadership teams to eliminate friction, accelerate decisions, and raise the operational ceiling of Clara.</p> <p data-path-to-node="3">You will report to the Global Head of Operations and act as a strategic partner to senior leaders in Product, Sales, Finance, and Engineering. You will own the full automation lifecycle: identifying the opportunity, architecting the solution, deploying it with advanced AI tooling, and measuring the enterprise-wide impact.</p> <ul data-path-to-node="4"> <li> <p data-path-to-node="4,0,0">Map complex, high-friction operational workflows across Clara and strategically prioritize them for AI augmentation, building a high-impact roadmap that compounds in value over time.</p> </li> <li> <p data-path-to-node="4,1,0">Lead the design, deployment, and iteration of advanced AI-powered workflows using <strong data-path-to-node="4,1,0" data-index-in-node="82">N8N</strong>, Claude Code/Codex, and other LLM APIs to replace manual, error-prone processes and unlock new operational capabilities.</p> </li> <li> <p data-path-to-node="4,2,0">Collaborate with executive and operational leaders to implement agent-based or rule-based automation that drastically improves speed, accuracy, and capacity—scaling the business without linearly adding headcount.</p> </li> <li> <p data-path-to-node="4,3,0">Architect and maintain sophisticated operational dashboards in <strong data-path-to-node="4,3,0" data-index-in-node="63">Metabase</strong> to surface critical KPIs and flag anomalies before they impact the business.</p> </li> <li> <p data-path-to-node="4,4,0">Partner with Product and Product Marketing to ensure seamless operational readiness for new feature launches, designing the automated processes that support them from day one.</p> </li> <li> <p data-path-to-node="4,5,0">Serve as Clara’s preeminent internal expert on AI operations—evaluating new technologies, establishing best practices, and building the definitive playbook on how we leverage AI for operational excellence.</p> </li> <li> <p data-path-to-node="4,6,0">Identify critical data gaps and collaborate closely with Engineering to design the instrumentation and <strong data-path-to-node="4,6,0" data-index-in-node="103">Databricks</strong> pipelines needed to power advanced operational decisions.</p> </li> <li> <p data-path-to-node="4,7,0">Document architectures and processes comprehensively in <strong data-path-to-node="4,7,0" data-index-in-node="56">Google Drive</strong> and <strong data-path-to-node="4,7,0" data-index-in-node="73">Slack</strong> to ensure maintainability, scalability, and seamless cross-functional handoffs.</p> </li> <li> <p data-path-to-node="4,8,0">Lead and scale a "team of AIs"—maximizing an unlimited token budget to drive exponential output—rather than focusing on traditional people management.</p> </li> </ul> <h3 data-path-to-node="5">Who you are</h3> <p data-path-to-node="6"><em data-path-to-node="6" data-index-in-node="0">We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.</em></p> <p data-path-to-node="7"><strong data-path-to-node="7" data-index-in-node="0">Must haves</strong></p> <ul data-path-to-node="8"> <li> <p data-path-to-node="8,0,0">Working proficiency in English and Spanish.</p> </li> <li> <p data-path-to-node="8,1,0">7+ years of experience in operations, strategy, or a related field—ideally in a LatAm fintech, payments, or high-growth B2B SaaS company. A background at a top consulting firm (Bain/BCG/McKinsey) or high-velocity startup is highly valued.</p> </li> <li> <p data-path-to-node="8,2,0">Proven, expert-level AI automation track record. You have demonstrated experience architecting, scaling, and augmenting operations with AI at an enterprise level. This is not aspirational—we want to see complex, automated systems you've successfully shipped.</p> </li> <li> <p data-path-to-node="8,3,0">Advanced hands-on experience building automated workflows with platforms like <strong data-path-to-node="8,3,0" data-index-in-node="78">N8N</strong>, Make, or