Engineering Manager, Data (Web3)

TL;DR

Engineering Manager, Data (Web3): Leading data infrastructure and product delivery teams to build advanced blockchain intelligence platforms with an accent on high-scale data processing and AI integration. Focus on driving 10x improvements in delivery speed, managing production systems at petabyte scale, and fostering a high-ownership, AI-native engineering culture.

Location: Must be based in South America

Company

hirify.global provides AI-powered blockchain intelligence solutions that help public and private sector agencies investigate and disrupt financial crime.

What you will do

• Own the platform supporting 1+ petabyte of intelligence products, including batch and real-time processing.
• Lead and hire for two sub-teams spanning data infrastructure through product-facing delivery.
• Set technical direction for production systems, making strategic bets on architecture and tooling.
• Build platforms that accelerate data science workflows and intelligence product delivery.
• Drive 10x improvements in the speed and overhead of deploying new intelligence models.
• Stay close to technical work by reviewing architecture, debugging pipelines, and making system design decisions.

Requirements

• 8+ years of hands-on data or engineering experience with 4+ years of direct people management.
• Proven experience owning production-scale customer-facing data products, APIs, or decisioning engines.
• Strong proficiency in Python and SQL.
• Experience with BigQuery, Airflow, data lake architecture, and serving layers.
• Must be based in South America to align with team operations.
• Active daily user of AI tools to accelerate development and challenge assumptions.

Culture & Benefits

• High-trust, technically rigorous, and fast-moving environment.
• Distributed-first company culture with async-first communication.
• Focus on high ownership, adaptability, and continuous feedback.
• Work at the intersection of AI, national security, and blockchain technology.
• Emphasis on AI fluency as a core operational standard.