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TRM Labs

Blockchain analytics for financial crime

Engineering Manager - Data Platform

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAHybrid

About the Job

Requirements

  • At least 5 years managing engineers, including a team of roughly 8–15, with scope that has grown over time in surface area, team size, or system complexity.
  • Technical depth sufficient to closely review design documents, ask questions that can change an approach, and unblock engineers on difficult problems; daily production coding is not required.
  • A considered leadership approach and ability to articulate how to build teams and how engineers should work; public writing, talks, open-source work, or community contributions are advantageous.
  • Ability to disagree constructively, support positions with evidence, and maintain effective partnerships.
  • Experience delivering work that depends on teams outside the candidate’s own team by bringing people along rather than escalating.
  • Experience hiring engineers, developing people into senior and lead roles, and treating team quality as part of the product.
  • Ability to frame team direction in a way that motivates engineers to build it.
  • A Bachelor's degree or equivalent in Computer Science or a related field.
  • At least 5 years of experience conceiving and implementing distributed systems from ideation through production.
  • Proficiency in Python and strong SQL or SparkSQL experience.
  • Versatility across the data engineering stack, including data stores such as ClickHouse, Elasticsearch, Postgres, Redis, and Neo4j; pipeline and workflow orchestration tools such as Airflow, DBT, Luigi, Azkaban, and Storm; processing technologies and streaming workflows including Spark, Kafka, and Flink; and public-cloud infrastructure deployment and monitoring using Docker, Terraform, Kubernetes, and Datadog.
  • Demonstrated ability to load, query, and transform large-scale, complex datasets.
  • AI fluency applied to accelerating repeatable workflows, structuring and solving problems, improving output quality, and increasing speed and leverage; this will be evaluated during interviews.

Responsibilities

  • Lead and develop a team of engineers, providing technical and cultural guidance and mentorship.
  • Ensure the quality and timely delivery of the team's work and oversee the availability and performance of critical services.
  • Drive projects toward defined goals and measurable outcomes, with accountability for key performance indicators.
  • Promote design and usability best practices, scalable solutions, documentation, and knowledge sharing.
  • Resolve operational escalations and collaborate with cross-functional teams to resolve production incidents.
  • Collaborate with management and product teams to plan, estimate, and prioritize roadmap objectives, identify opportunities, and mitigate risks.
  • Build highly reliable data services that integrate with numerous blockchains.
  • Engineer and optimize ETL pipelines for real-time transformation and processing of petabytes of structured and unstructured data.
  • Architect data models for efficient storage and retrieval while maintaining sub-second query latency for blockchain data.
  • Oversee deployment and monitoring of large-scale database clusters, focusing on performance and high availability.
  • Collaborate with data scientists, backend engineers, and product managers to design, implement, and refine data models supporting TRM products.
  • Participate in in-person R&D work weeks, typically 1–2 times per quarter, at a TRM hub or other designated location; additional travel may be required based on team and cross-functional needs.

Desired Qualifications

  • Public writing, talks, open-source contributions, or community involvement sharing the candidate's leadership perspective.

About the Company

TRM Labs

Blockchain analytics for financial crime

TRM Labs provides blockchain intelligence tools for financial institutions, crypto businesses, and government agencies to detect and investigate crypto-related financial crime and fraud. It analyzes blockchain activity using data engineering, data science, and threat intelligence to surface risk signals, enable investigations, and support compliance workflows. Its products combine on-chain and off-chain data, risk scoring, and case management through subscription services and customized solutions. Compared to others, TRM Labs serves a diverse client base (banks, exchanges, regulators) and emphasizes end-to-end investigative capabilities and tailored risk insights rather than generic analytics. The company’s goal is to improve the security and integrity of the global financial system by reducing illicit activity in the crypto space.

Company size
201-500
Company stage
Series C
Total funding
$220M
Headquarters
San Francisco, CA
Founded
2018

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