15 publicaciones de empleo destacadas de machine learning platform engineer en tlalpan cdmx (¡Están contratando!)

AI Business Operations Expert - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL
10d
Full Stack Developer/AI Engineer
WPP —Ciudad de México, CDMX
- Azure
- Inglés
- Python
Data Scientist - Life Sciences AI / ML
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Doctorado
- Inglés
- Maestría
Postulación rápida
Channel Partner Operations Manager
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Seguro de vida
Forward Deployed Engineer II, Generative AI, Global Service Delivery (English, Spanish)
Google —Ciudad de México, CDMX
- Administración de personal
- Doctorado
- Informática
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Data Scientist (Científico de Datos) - Hybrid
Clara —Ciudad de México, CDMX
- Administración de personal
- Inglés
- SQL
11d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
AI Business Operations Analyst - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL
Software Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Licenciatura
Postulación rápida
Data Analyst
Sezzle —Ciudad de México, CDMX
- $2,800 a $6,800 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Maestría
- SQL
Sr. Software Development Engineer (Tech Lead), Devices Sales & Customer Experience
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Java
QA Automation Engineer (API & Database Validation)
Nexaminds —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
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AI Business Operations Expert - Mexico City (Hybrid)

Clara -
Ciudad de México, CDMX

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Información del empleo

Hace 10 días

Beneficios

Opciones sobre acciones

Cualificaciones

Ventas SaaS
Derecho
Plurilingüe
Salesforce
Slack
Inglés
SQL
B2B
Portugués
HubSpot
Python

Descripción completa del empleo

Ready to accelerate your career?

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.

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.

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.

What you'll do

We're looking for an AI Business Operations Expert 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.

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.

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.
Lead the design, deployment, and iteration of advanced AI-powered workflows using N8N, Claude Code/Codex, and other LLM APIs to replace manual, error-prone processes and unlock new operational capabilities.
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.
Architect and maintain sophisticated operational dashboards in Metabase to surface critical KPIs and flag anomalies before they impact the business.
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.
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.
Identify critical data gaps and collaborate closely with Engineering to design the instrumentation and Databricks pipelines needed to power advanced operational decisions.
Document architectures and processes comprehensively in Google Drive and Slack to ensure maintainability, scalability, and seamless cross-functional handoffs.
Lead and scale a "team of AIs"—maximizing an unlimited token budget to drive exponential output—rather than focusing on traditional people management.

Who you are

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.

Must haves

Working proficiency in English and Spanish.
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.
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.
Advanced hands-on experience building automated workflows with platforms like N8N, Make, or Zapier—no-code and low-code fluency is a strict requirement.
Deep familiarity with enterprise systems of record, including CRMs like Hubspot or Salesforce, support triage (e.g., Zendesk), data warehouses (e.g., Databricks, Snowflake), and BI platforms.
High comfort level working directly with LLM APIs (OpenAI, Anthropic, etc.) to build advanced operational tools and agents, with the technical acumen to bridge the gap between business operations and engineering.
Exceptional analytical skills, with the ability to query data in SQL or build complex visibility models in Metabase to drive executive decision-making.
A structured, strategic thinker with a strong bias for action: you break down ambiguous problems, make high-stakes decisions with incomplete data, and move fast while maintaining system integrity.
Excellent verbal and written communication skills, seamlessly translating technical AI solutions into business terms for senior stakeholders and business needs into precise specs for engineers.
Proven role-specific execution in a fast-paced environment, showcasing your adaptability to fast-changing priorities.
An intrinsic passion for leveraging AI tools to automate workflows and redefine what is operationally possible.

Nice to haves

Independent analytical skills using Python to drive data-informed decision-making.
A good sense of humor.

Why join Clara

At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.

Who we are

We’re the leading B2B fintech for spend management in Latin America.
Certified as one of the world's fastest-growing companies, a Great Place to Work, and a LinkedIn Top Startup.
Passionate about making Latin America more prosperous and competitive.
Constantly innovating to build financial infrastructure that enables each of our customers to thrive.
Product-led, high-talent-density culture — designed for builders who raise the bar.
Proud of our open, inclusive, and values-driven environment.

What we believe in

#Clarity. We say things clearly, directly, and proactively.
#Simplicity. We reduce noise to focus on what really matters.
#Ownership. We take responsibility and never wait to be told.
#Pride. We build products and experiences we’re proud of.
#Always Be Changing (ABC). We grow through feedback, risk-taking, and action.
#Inclusivity. Every voice counts. Everyone contributes to our mission.

What we offer

Competitive salary and stock options (ESOP) from day one
Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
Annual learning budget and internal accelerated development paths
High-ownership environment: we move fast, learn fast, and raise the bar — together
Smart, ambitious teammates — low ego, high impact
Flexible vacation and hybrid work model focused on results

If you’re ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.

Clara’s Hybrid Policy

Claridians in a hybrid mode split their time between working from the office, talking to or visiting customers, or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for each individual and team.

We don't enforce a minimum number of days for most roles, but you're expected to spend time at the office organically, and be at the office most days during your ramp-up or when required by your leader.

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