Media Hero Tech Stack

ML-powered media budget optimization for enterprise brands

Marketing Services São Paulo 11–50 employees Founded 2023 Partnership

Media Hero applies machine learning to a core problem in enterprise marketing: how to allocate budgets across channels and campaigns to maximize business outcomes. The tech stack is heavily data-engineered (Python, Pandas, SQL, dbt, Airflow, Prefect, Dagster, BigQuery) with deep integrations into ad platforms (Google Ads, Meta, DV360, YouTube) and a mature analytics layer (Power BI, Tableau, Looker, Metabase). The pain-point list—data quality traceability, transformation performance, manual rework, standardized delivery—indicates a services-delivery org scaling toward product repeatability: they're building pipelines and dashboards per client, then systematizing those workflows.

Tech Stack 32 technologies

Core StackPython Pandas dbt Slack Power BI Jira Monday.com Figma Tableau Metabase Looker BigQuery Apache Airflow Prefect Dagster Google Ads AWS Kubernetes SQL Excel Google Sheets Google Docs Linear Microsoft Project GCP Google Cloud Functions Git Meta DV360 YouTube

What Media Hero Is Building

◆Challenges

Ensuring data quality traceability
Usability friction
Continuous data processing improvement
Improving transformation performance
Reducing manual rework costs
Lack of standardized delivery processes
Agilizing data update process
High rework rates
Complex data interpretation
Scalability of data infrastructure

▲Active Projects

Client dashboard construction
Pipeline automation for data transformation
Client solution delivery projects
Onboarding and implementation projects
Data architecture evolution
Pipeline development
Media mix optimization
Budget allocation
Causal diagram development
Simulator development

Hiring Activity

Decelerating15 roles · 3 in 30d

Department

Data

Ops

Design

Engineering

Finance

Marketing

Product

Sales

Seniority

Senior

Mid

Junior

Staff

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About Media Hero

Media Hero is a Brazilian machine-learning software company founded in 2023 that solves media budget allocation for large enterprise brands. The product combines historical campaign and sales data with ML models to recommend media mix and budget splits across channels. The company operates as a partnership-model firm with 11–50 employees based in São Paulo, with active projects spanning client dashboards, pipeline automation, data architecture, media mix optimization, and budget allocation simulators. Hiring is concentrated in data roles (5 positions) with supporting operations, engineering, product, and delivery staff, indicating a data-engineering-first culture.

HeadquartersSão Paulo

Company Size11–50 employees

Founded2023

Hiring MarketsBrazil

Frequently Asked Questions

What tech stack does Media Hero use?

Python, Pandas, SQL, dbt, Apache Airflow, Google Cloud (BigQuery, Cloud Functions), AWS, Kubernetes, and analytics tools (Power BI, Tableau, Looker, Metabase). Ad platform integrations: Google Ads, Meta, DV360, YouTube.

What is Media Hero working on?

Client dashboard construction, pipeline automation, media mix optimization, budget allocation, causal diagram development, simulators, and data architecture evolution. Focus areas include data quality traceability, transformation performance, and standardized delivery processes.