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Jelou AI Tech Stack

AI agents for financial transactions and RPA across Latam fintech

Software Development New York, New York 51–200 employees Founded 2017 Privately Held

Jelou AI builds conversational AI agents that execute financial transactions by connecting fintech platforms and legacy systems—targeting Latin American businesses automating operations at scale. The stack reveals a data-pipeline-heavy architecture (Airflow, Prefect, Dagster, Redshift, Elasticsearch) paired with WhatsApp as the primary user interface, suggesting Jelou routes transactions through mobile-first channels rather than traditional banking UI. Hiring accelerates across sales, marketing, and implementation roles while leadership focuses on enterprise playbooks and CRM—consistent with shifting from product-led adoption toward deal-driven growth in the region.

What Jelou AI Is Building

Challenges

  • Long sales cycles
  • Churn risk
  • Security compliance requirements
  • Complex deal closure
  • Marketing roi improvement
  • Optimizing acquisition funnels
  • Enterprise account acquisition
  • Multiple accounts in accelerated growth
  • Optimizing implementation process
  • Reducing ticket misdirection

Active Projects

  • Account-based marketing
  • Data integration and modeling
  • Marketing of channels
  • Design consultative sales playbooks
  • Build enterprise sales pipeline
  • Implement crm and forecasting
  • Design system
  • Product web and mobile interfaces
  • Designing support operation
  • Implementing automation and self-service

Hiring Activity

Accelerating30 roles · 25 in 30d

Department

Engineering
7
Sales
5
Marketing
4
Data
3
Design
2
Support
2
Finance
1
Operations
1

Seniority

Mid
12
Senior
7
Lead
4
Junior
1
Manager
1

Notable leadership hires: Tech Lead Implementations

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About Jelou AI

Jelou AI enables businesses in Mexico, Colombia, and Ecuador to build and deploy AI agents that automate financial operations and transactions. The product integrates e-commerce and fintech tools into a conversational interface, primarily via WhatsApp, removing manual steps in transaction execution. Jelou serves mid-market and enterprise customers navigating complex operational integration; the company was founded in 2017 and is based in New York. Current focus areas span account-based marketing, enterprise sales pipeline construction, CRM implementation, and support automation—reflecting growth-stage priorities around deal closure, forecasting, and operational scaling.

HeadquartersNew York, New York
Company Size51–200 employees
Founded2017
Hiring MarketsMexico, Colombia, Ecuador

Frequently Asked Questions

What tech stack does Jelou AI use?

Jelou uses Node.js, Python, and JavaScript for backend services; React and Angular for frontend; AWS Lambda and AWS Glue for compute and ETL; Redshift, SingleStore, PostgreSQL, and MySQL for data storage; Airflow, Prefect, and Dagster for orchestration; and WhatsApp Business API as the transaction interface.

What is Jelou AI working on?

Active projects include account-based marketing, data integration and modeling, CRM and forecasting implementation, enterprise sales pipeline build-out, design systems, support operation design, and automation and self-service implementation.

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