Cross-border logistics platform for Latin American e-commerce
MailAmericas operates a cross-border fulfillment network across Latin America, processing over 3 million packages monthly. The tech stack reveals a data-first engineering posture: Python + pandas + NumPy + scikit-learn for analytics, dbt + Airflow for pipeline orchestration, and Redshift + Athena for warehousing — now adopting OpenTelemetry for observability. Active hiring tilts heavily toward logistics (10 roles) and engineering (6), with concurrent projects in demand forecasting, data architecture redesign, and last-mile optimization, signaling a push to automate resource-intensive processes and reduce delivery variability.
MailAmericas operates a cross-border logistics and fulfillment platform serving e-commerce retailers and international companies entering Latin American markets. Based in Buenos Aires, the company has reduced regional delivery times from 30–40 days to 15 days on average while processing millions of monthly shipments across Peru, Costa Rica, Argentina, Chile, and Colombia. The platform handles printed matter, parcel delivery, and full fulfillment services, competing directly against domestic incumbents in emerging markets where international logistics infrastructure remains fragmented.
JavaScript, PHP, Laravel, React, Node.js for application layer; Python, pandas, NumPy, scikit-learn for analytics; dbt and Apache Airflow for data pipelines; AWS (Redshift, Athena, Lake Formation) for data warehouse and lake; Salesforce Service Cloud, Zendesk, and Freshdesk for customer service. Now adopting OpenTelemetry.
Headquartered in Ciudad Autónoma de Buenos Aires, Argentina. Currently hiring across Peru, Costa Rica, Argentina, Chile, Colombia, and the United States, with accelerating hiring velocity across 27 active roles.
End-to-end data architecture redesign, demand forecasting and inventory optimization, last-mile logistics improvement, heterogeneous system integration, and nearshoring initiatives with Chinese suppliers. Active focus on reducing cancellations and automating high-resource processes.
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