Chaves na Mão Tech Stack

Real estate and vehicle marketplace with ML-driven recommendations and lead scoring

Internet Publishing Curitiba 51–200 employees Founded 2013 Privately Held

Chaves na Mão operates a dual-vertical classifieds marketplace for properties and vehicles in Brazil, built on a data-heavy stack (SQL, Python, dbt, Looker, Tableau, Power BI across AWS/GCP/Azure). The project list—data warehouse, MLOps, recommendation models, real-time reviews—combined with hiring across data and sales suggests the company is shifting from listing aggregation toward personalization and conversion optimization. Pain points around data quality and CRM accuracy indicate scaling friction typical of marketplaces moving from volume to precision.

Tech Stack 17 technologies

Core StackPower BI Looker Tableau Python dbt AWS pandas NumPy scikit-learn PyTorch TensorFlow SQL QuickSight GCP Azure Microsoft Office WhatsApp

What Chaves na Mão Is Building

◆Challenges

Data quality and consistency
Need automated alerts
Improving conversion rates
Enhancing personalization
Predictive modeling for decision making
Managing client portfolio
Maintaining accurate crm data

▲Active Projects

Data warehouse development
Kpi monitoring and automation
End-to-end ml pipelines
Mlops implementation
Recommendation and lead scoring models
Content strategy for imóveis vertical
Property tour series
Real-time property reviews

Hiring Activity

Accelerating5 roles · 2 in 30d

Department

Data

Sales

Marketing

Seniority

Mid

Intern

Junior

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About Chaves na Mão

Chaves na Mão is a Brazilian classifieds platform focused on real estate (imóveis) and vehicle listings. Founded in 2013 and headquartered in Curitiba, the company operates a two-sided marketplace connecting buyers and sellers. The business runs on a modern data infrastructure spanning AWS, GCP, and Azure, with BI and transformation tooling (dbt, Looker, Tableau, Power BI) supporting analytics and decision-making. Current product development centers on ML-backed recommendation and lead-scoring models, property tour content, and real-time review systems. The team of 51–200 is primarily Brazil-based, with active hiring in data and sales roles.

HeadquartersCuritiba

Company Size51–200 employees

Founded2013

Hiring MarketsBrazil

Frequently Asked Questions

What tech stack does Chaves na Mão use?

SQL, Python, dbt, and pandas for data pipelines; AWS, GCP, and Azure for cloud infrastructure; Looker, Tableau, Power BI, and QuickSight for analytics; PyTorch and TensorFlow for ML models.

What is Chaves na Mão working on?

Data warehouse development, MLOps implementation, recommendation and lead-scoring models, real-time property reviews, and content strategy for the real estate vertical.