Engineering Manager, Data Science

TRM Labs

2d • Remote

About The Position

TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM Labs 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. This role involves leading two highly synergistic sub-teams and driving end-to-end outcomes that get intelligence into customers' hands faster. The company operates as a distributed-first company with hubs in several major cities and is a Series C company with $220M in total funding. The work environment is described as high velocity, high ownership, fast-moving, direct, and AI-native, requiring adaptability, collaboration, and creative problem-solving in a complex and evolving field.

Requirements

• 4+ years managing data engineering, data science, or ML teams with direct people management responsibility
• 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

Responsibilities

• Own the platform that supports 1+ petabyte of intelligence products including batch processing, real-time, 24/7 API requirements
• Drive 10x improvement in the speed and overhead of getting new intelligence models and data products to customers
• Lead two sub-teams spanning from data infrastructure through product-facing delivery
• 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
• Hire, develop, and manage a team of engineers, raising the bar on technical quality and AI fluency

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 101-250 employees