Engineering Manager, Data
TRM Labs - North America | Remote | South America
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
- Not verified
- Childcare support
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- Learning budget
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- Verification
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- Salary
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Engineering Manager, Data North America | Remote | South America BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. TRM Labs is building the world's most advanced blockchain intelligence platform. We're 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'll lead two highly synergistic sub-teams and drive end-to-end outcomes that get intelligence into customers' hands faster. The 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
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