Engineering Manager, Data Platform

As an Engineering Manager at TRM Labs, you lead a team of 8-15 engineers building highly available and scalable data infrastructure for TRM's AI-powered intelligence platform. Your team executes mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, helping public and private sector agencies investigate and disrupt crime.

What you'll do

• Lead and nurture a team of high-impact engineers, offering guidance in technical and cultural aspects
• Provide regular coaching and technical mentorship to your immediate team while contributing to the broader engineering organization's growth
• Ensure the quality and timely delivery of your team's work while overseeing the availability and performance of critical services
• Drive projects aligned with well-defined goals and measurable outcomes, holding the team accountable to key performance indicators
• Foster best practices in design and usability, creating scalable solutions while emphasizing documentation and knowledge sharing
• Resolve operational escalations and collaborate with cross-functional teams to address production incidents
• Collaborate closely with management and product teams to plan, estimate, and prioritize roadmap objectives while identifying opportunities and mitigating risks
• Contribute to the creation of highly reliable data services that seamlessly integrate with numerous blockchains
• Engineer and optimize ETL pipelines that handle real-time transformation and processing of petabytes of structured and unstructured data
• Architect data models to ensure efficient storage and retrieval, maintaining sub-second latency for querying blockchain data
• Oversee the deployment and monitoring of large-scale database clusters, focusing on performance and high availability
• Collaborate cross-functionally with data scientists, backend engineers, and product managers to design, implement, and refine new data models supporting TRM's products

What you bring

• 5+ years managing engineers, including a team of roughly 8-15, with scope that has grown over time in terms of team size, surface area, or system complexity
• Technical depth you actively use. You read design docs closely, ask the question that changes the approach, and can unblock engineers on hard problems. You don't need to write production code daily to stay credible
• A point of view on leadership. You've thought about how you build teams and how you want engineers to work, and you can articulate it
• You disagree well. You've made a case against a roadmap, a design, or your own leadership, brought evidence, and remained in partnership afterward
• Influence beyond your own team. You've delivered work that depended on teams you don't manage by bringing people along rather than escalating
• Team building as core work. You've hired engineers you're proud of, grown people into senior and lead roles, and treated team quality as part of the product
• Communication that creates momentum. You can frame where a team is heading in a way that makes strong engineers want to build it with you
• A Bachelor's degree or equivalent in Computer Science or a related field
• 5+ years of experience conceiving and implementing distributed systems from ideation through production
• Proficiency in Python, along with strong SQL or SparkSQL experience
• Versatility across the full data engineering stack, including data stores such as ClickHouse, Elasticsearch, Postgres, Redis, and Neo4j; data pipeline and workflow orchestration tools such as Airflow, DBT, Luigi, Azkaban, and Storm; data processing technologies and streaming workflows including Spark, Kafka, and Flink; infrastructure deployment and monitoring in public cloud environments using Docker, Terraform, Kubernetes, and Datadog
• Demonstrated ability to load, query, and transform large-scale, complex datasets

What we offer

• Base salary range of $230,000 to $260,000 (US base salary; TRM factors in different costs for geographies outside the United States)
• Eligibility to participate in TRM's equity plan
• Participation in in-person R&D work weeks, typically 1-2 times per quarter at a TRM hub or other designated location (TRM coordinates and covers approved travel, lodging, and workspace)

About TRM Labs

TRM Labs is a Series C company with $220M in total funding backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. TRM provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime by tracing illicit activity, building cases, and constructing operating pictures of threat networks.