Trafilea

HQ
Montevideo
Total Offices: 3
437 Total Employees
Year Founded: 2014

Trafilea Benefits Overview

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Career Growth + Development

Provides customized development tracks

Job training & conferences

Compensation + Benefits

Offers generous parental leave

Offers health insurance

Offers charitable contribution matching

Offers performance bonuses

Company Culture

Office is pet friendly

Offers a remote work program

Offers diversity-based Employee Resource Groups

Recently posted jobs

2 Days AgoSaved
In-Office or Remote
Buenos Aires, Ciudad Autónoma de Buenos Aires, ARG
Artificial Intelligence • Big Data • Information Technology • Analytics
Own the global FP&A function, including annual planning, forecasting, performance management, variance analysis, KPI development, budgeting, investor relations, capital markets, and fundraising. Partner with executives, the Board, investors, and cross-functional teams to improve profitability, cash flow, and resource allocation. Lead and develop a high-performing finance team while delivering accurate, forward-looking financial insights.
10 Days AgoSaved
In-Office or Remote
Buenos Aires, Ciudad Autónoma de Buenos Aires, ARG
Artificial Intelligence • Big Data • Information Technology • Analytics
Design, build, and maintain scalable full-stack applications, internal APIs, and infrastructure. Develop backend and frontend capabilities, improve performance, reliability, security, and scalability, and address technical debt. Participate in architecture planning, code reviews, testing, CI/CD, observability, debugging, documentation, and backlog prioritization while aligning technical decisions with product and business goals.
11 Days AgoSaved
In-Office or Remote
3 Locations
Artificial Intelligence • Big Data • Information Technology • Analytics
Architect and maintain end-to-end ETL/ELT pipelines, Airflow workflows, production data models, BI reporting, and ML infrastructure. Ensure data quality through governance, monitoring, validation, anomaly detection, and root-cause analysis. Optimize SQL workloads and AWS data platforms for performance, cost, and scalability. Partner with marketing, analytics, commercial, and executive stakeholders to define metrics such as CAC, ROAS, LTV, and conversion funnels. Build internal data tools and operationalize machine learning models.