meutudo. operates a credit platform built on Python, Java, Spring Boot, and Oracle, with a heavy analytics stack (Databricks, Spark, MLflow, Tableau, Superset) and tight Salesforce/HubSpot/Braze integration. Hiring is decelerating but skews finance and data (9 of 19 roles), while projects cluster around securitization reporting, ML-driven scoring, and M&A integration—revealing a company managing both consumer credit origination and capital-markets operations in parallel.
meutudo. is a Brazilian credit platform founded in 2016, headquartered in Fortaleza. The company has served over 20 million consumers and operates as a privately-held firm with 501–1,000 employees. The business spans consumer lending (unified scoring, CRM engagement) and capital markets (securitized vehicle reporting, post-merger integration). Technical operations rely on SQL, Python, and Java for application logic, with Databricks and Spark powering analytics, and Salesforce/HubSpot managing customer relationships. All hiring and operations are currently Brazil-based.
Python, Java, Spring Boot, Oracle, PostgreSQL, AWS for core systems; Databricks, Apache Spark, MLflow for ML and analytics; Tableau, Superset, Metabase for visualization; Salesforce, HubSpot, Braze for CRM and marketing automation.
Yes, but minimally. Of 19 active roles, only 1 is engineering; the bulk are in finance (5), data (4), and legal (3), with hiring velocity decelerating.
Fortaleza, Ceará, Brazil. The company was founded in 2016 and currently employs 501–1,000 people.
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