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Clubbi Tech Stack

B2B sourcing platform for small grocery retailers in Brazil

Technology, Information and Internet Rio de Janeiro 51–200 employees Founded 2020 Privately Held

Clubbi digitizes procurement for neighborhood grocery stores in Brazil, built on Python + FastAPI + AWS infrastructure with PostgreSQL and MySQL backing the order pipeline. The hiring mix is heavily skewed toward sales (5 roles) with minimal engineering presence (1 role), suggesting the company is scaling go-to-market rather than product velocity — typical for a B2B marketplace at this stage. Active projects center on API backend and third-party integrations, with legacy system maintenance flagged as a friction point.

Tech Stack 11 technologies

Core StackPython FastAPI AWS AWS Lambda PostgreSQL MySQL Power BI Salesforce AWS Step Functions AWS SQS AWS SNS

What Clubbi Is Building

◆Challenges

Legacy system maintenance
External system integration
Improving financial results

▲Active Projects

Api backend development
External system integration
Recruitment and selection processes
Culture and internal communication actions
Engagement initiatives

Hiring Activity

Accelerating8 roles · 4 in 30d

Department

Sales

5

Engineering

1

HR

1

Ops

1

Seniority

Junior

3

Intern

2

Mid

2

Senior

1

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About Clubbi

Clubbi operates a B2B sourcing platform targeting small grocery store owners across Brazil, particularly in Rio de Janeiro and surrounding neighborhoods. The platform simplifies how independent retailers buy fast-moving consumer goods from suppliers, replacing manual phone orders and in-person negotiations with a digital interface. Founded in 2020, the company now runs 51–200 employees and is hiring across sales, operations, and support functions, with engineering capacity concentrated on API development and integration work.

HeadquartersRio de Janeiro

Company Size51–200 employees

Founded2020

Hiring MarketsBrazil

Frequently Asked Questions

What tech stack does Clubbi use?

Python, FastAPI, and AWS services (Lambda, Step Functions, SQS, SNS) for the backend. PostgreSQL and MySQL for databases. Power BI for analytics and Salesforce for CRM.