About this role
Role Overview
The Engineering Manager, Data Platform role at TRM Labs is a full-time, remote position based in North America within the R&D department. This opportunity suits an experienced engineering leader who wants to guide a team building mission-critical systems and data services analyzing blockchain activity at petabyte scale.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
The estimated US base salary range for this role is $230,000 to $260,000 per year, determined by skills, qualifications, experience, and location, with geographic cost adjustments outside the United States. Additionally, this role may be eligible to participate in TRM's equity plan.
About the Company
TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime, trace illicit activity, and build cases regarding threat networks. Operating as a distributed-first company headquartered in San Francisco with a high-velocity and high-ownership team, TRM is backed by major investors including Goldman Sachs, Bessemer, Y Combinator, and Thoma Bravo.
How to Apply
To apply for this position, please submit your application directly on the official TRM Labs careers page.
Skills and tech stack
Questions candidates ask
What is the salary range for the Engineering Manager, Data Platform role?
The estimated US base salary range is between $230,000 and $260,000 per year, and the role may also be eligible for TRM's equity plan.
Is this position remote?
Yes, this is a remote position located in North America.
What qualifications and experience are required?
Candidates need a Bachelor's degree in Computer Science or a related field, 5+ years of experience managing engineers (specifically teams of 8-15 people), and 5+ years of experience building distributed systems from ideation to production.
What technical skills and tools are needed for this job?
Proficiency in Python, SQL, and SparkSQL is required, along with experience across data stores like ClickHouse and Postgres, orchestration tools like Airflow and DBT, processing tech like Spark and Kafka, and infrastructure tools like Kubernetes, Docker, and Terraform.
How should I submit my application?
You should apply directly through the official TRM Labs careers page to ensure your candidacy is properly reviewed by the Talent team.
