Engineering Manager, Data

TRM Labs; Brasil; Híbrido; BRL 223 200 - 334 800; Tempo integral

Resumo da oferta

TRM Labs in Brazil is seeking an Engineering Manager, Data Science to lead teams focused on the development and delivery of AI-powered intelligence solutions. The successful candidate will be responsible for platform performance, team management, and driving improvements in data science workflows. Applicants must have 8+ years in data engineering, proven leadership experience, and proficiency in Python & SQL. This role offers a fast-paced environment with high expectations for agility and quality.

Qualificações

• 8+ years of hands-on data/engineering experience with 4+ years of direct people management.
• Must have owned production systems at scale.
• Strong Python and SQL skills.

Responsabilidades

• Own the platform supporting 1+ petabyte of intelligence products.
• Drive significant improvements in delivery speed of intelligence models.
• Set technical direction for production systems.

Conhecimentos

Data engineering experience

Python

SQL

AI tools usage

Systems design decisions

Ferramentas

BigQuery

Airflow

Descrição da oferta de emprego

TRM Labs provides AI‑powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. The company is building the world’s most advanced blockchain intelligence platform and is looking for an Engineering Manager, Data Science to own the platforms that power TRM’s intelligence data products, from ingestion and processing to serving and front‑end delivery. You will lead two highly synergistic sub‑teams and drive end‑to‑end outcomes that bring intelligence to customers faster.

Impact You Will Have

• Own the platform that supports 1+ petabyte of intelligence products including batch processing, real‑time, 24/7 API requirements
• Build the next‑generation of foundational AI architecture for blockchain intelligence infrastructure
• Drive 10x improvement in the speed and overhead of getting new intelligence models and data products to customers
• Lead and hire for two sub‑teams spanning from data infrastructure through product‑facing delivery, raising the bar on technical quality and AI fluency
• Set the technical direction for production systems, making sound bets on architecture, tooling, and platform investments
• Build platforms that accelerate DS team work; making it seamless and fast for data scientists to test and deliver intelligence data products

What We’re Looking For

• 8+ years of hands‑on data/engineering experience with 4+ years of direct people management
• A player‑coach who stays close to the technical work—reviewing architecture, debugging pipelines, making system design decisions—while also setting team strategy
• Must have owned production systems at scale (customer‑facing data products, APIs, or decisioning engines—not analytics or BI systems)
• Strong Python and SQL; experience with BigQuery, Airflow, data lake architecture, serving layers
• Active daily user of AI tools to accelerate development and challenge assumptions
• Good judgment; you’ll be making decisions on the technological bets and investments that define TRM’s platform

About The Team

• The computational intelligence team builds the production data science capabilities that power TRM's intelligence products
• This manager role owns the Blockchain Intel Product Pod and Intel Platform sub‑teams, a cohesive unit spanning platform infrastructure through product delivery
• Culture is high‑trust, technically rigorous, fast‑moving, direct, ownership‑heavy, and AI‑native

Team Operating Rhythms

• Distributed, not distant: the team is primarily US‑based and operates across EST/PST timezones
• Async‑first communication via Slack for day‑to‑day coordination; Notion and Jira for project tracking and documentation
• Regular cross‑functional syncs with public sector GTM, threat intelligence, and product teams to align on intelligence requirements and delivery timelines

At TRM, You Should Expect

• Priorities and targets that change quickly as we experiment and iterate
• Work that often requires operating with a high degree of ambiguity
• A high level of personal ownership and accountability
• Close collaboration across teams and functions
• Frequent, high‑touch communication
• Creative problem solving and out‑of‑the‑box thinking
• A pace that rewards urgency, adaptability, and outcomes

AI Fluency at TRM

• Accelerate repeatable workflows
• Structure and solve problems
• Improve output quality
• Increase speed and leverage

Leadership Principles

• Impact‑Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
• Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.
• Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger.