ESG calculation and disclosure platform for sustainability reporting
Deep ESG builds software to compute and surface environmental and social impact metrics for corporate sustainability disclosures. The stack—Python, Spark, PostgreSQL, BigQuery, and Airflow—reflects a data-processing engine designed to ingest, transform, and serve ESG calculations at scale. Current hiring and active projects center on client onboarding, process scaling, and partner ecosystem development, signaling a shift from product-first to implementation-led growth.
Notable leadership hires: Head Partnerships
Deep ESG operates a platform that automates ESG metric calculation and disclosure generation for organizations reporting on social and environmental impact. Founded in 2020 and based in São José dos Campos, Brazil, the company serves mid-market enterprises and investors seeking standardized, real-time sustainability reporting. The product integrates with existing enterprise systems (SAP, HubSpot) and sits atop a data stack built on GCP, BigQuery, and Airflow. The company is Brazil-based and currently hiring across sales, data, product, marketing, and operations.
Python, Apache Spark, PostgreSQL, BigQuery, and Apache Airflow power the calculation and transformation layer. The platform runs on Google Cloud Platform infrastructure.
Yes. Active roles span sales (2), data (1), product (1), marketing (1), ops (1), and support (1). Most positions are mid-level or senior; hiring is currently Brazil-based.
Active projects include streamlining client onboarding, scaling implementation processes to handle more customers, and building a partner ecosystem and integration programs.
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