Engineering Manager, Data Science
TRM Labs, Washington, District of Columbia, United States
Build a Safer World. 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 is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all.
Impact You Will Have
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 We’re Looking For
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
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 (90%+ AI fluency expected)
Team Operating Rhythms
Distributed, not distant: the team is primarily US‑based and operates across EST/PST timezones; at least 6 hours of daily overlap with US Eastern time is expected
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
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Impact You Will Have
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 We’re Looking For
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
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 (90%+ AI fluency expected)
Team Operating Rhythms
Distributed, not distant: the team is primarily US‑based and operates across EST/PST timezones; at least 6 hours of daily overlap with US Eastern time is expected
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
#J-18808-Ljbffr