Note: The job is a remote job and is open to candidates in USA. TRM Labs provides AI-powered blockchain intelligence solutions that help public and private sector agencies investigate and disrupt crime. The Engineering Manager, Data will lead teams responsible for data infrastructure and product-facing delivery, owning platforms for large-scale intelligence products, AI architecture, data processing, APIs, and data scientist workflows.

Responsibilities

• 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

Skills

• 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

Benefits

• This role may be eligible to participate in TRM’s equity plan
• Distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore

Company Overview

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