Engineering Manager, Data

TRM Labs
Remote

About The Position

TRM Labs is seeking an Engineering Manager, Data Science to lead the platforms that power TRM's intelligence data products. This role involves managing the end-to-end lifecycle from ingestion and processing to serving and front-end delivery. The successful candidate will lead two synergistic sub-teams, driving outcomes that accelerate the delivery of intelligence to customers. The role requires a player-coach who can balance technical oversight with team strategy, owning production systems at scale and making key architectural and tooling decisions.

Requirements

  • 8+ years of hands-on data/engineering experience
  • 4+ years of direct people management
  • 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

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
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