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.

The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's products and services. As an Engineering Manager, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.

The impact you’ll have here:

Lead and develop a team of talented, high-impact engineers, providing cultural, technical, and hands-on leadership.
Provide regular coaching and technical mentorship to your immediate team as well as the broader engineering department.
Take direct responsibility for the quality and delivery of the team's work, and manage the end-to-end availability and performance of critical services.
Drive work based on goals and measurable outcomes that are accountable to KPIs.
Encourage best practices in design and usability, creating scalable engines with thorough documentation and knowledge sharing.
Resolve escalations arising from operations and work with various teams to solve production incidents through to resolution.
Collaborate with management and product teams to plan, estimate, and prioritize roadmap objectives and identify upcoming opportunities and risks.
Build highly reliable data services to integrate with dozens of blockchains.
Develop ETL pipelines that transform and process petabytes of structured and unstructured data in real time.
Design data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Deploy and monitor large database clusters that are performant and highly available.
Work cross-functionally with data scientists, backend engineers and product managers to design and implement, and new data models to support TRM’s products.

What we’re looking for:

Bachelor's degree (or equivalent) in Computer Science or a related field.
5+ years of experience building distributed system architecture, from whiteboard to production.
Strong programming skills in Python, and SQL or SparkSQL.
Versatility. Experience across the entire spectrum of data engineering, including:
- Data stores (e.g., ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j)
- Data pipeline and workflow orchestration tools (e.g., Airflow, DBT, Luigi, Azkaban, Storm)
- Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink)
- Deployment and monitoring infrastructure in public cloud platforms (e.g., Docker, Terraform, Kubernetes, Datadog)
- Loading, querying, and transforming large data sets
AI-native mindset: ability to leverage modern AI/ML tools and workflows to accelerate engineering productivity, data processing, and problem solving

About the Team:

Our team is spread out over several countries and time zones. To leverage the opportunities and address challenges that come with this working model, we've built a culture grounded in trust, transparency, and adaptability. Even though we're scattered across different time zones, we stay closely connected through open communication and regular check-ins. Our use of digital tools helps us collaborate seamlessly and work at an impressive pace, delivering results at TRM speed while staying in sync.
The diversity of perspectives and expertise within our team sparks creative exchanges and enhances our problem-solving capabilities, allowing us to leverage our global synergy to drive innovation and efficiency.
We're driven by a deep sense of ownership, constant pursuit of improvement and an obsession with delivering magical experiences to our customers; these are a core part of our culture.
We're driven by the desire to continuously hone our craft and to this end, we regularly assess our processes, seek feedback, and embrace iterative development to refine what we do.
We structure problems and use the 80/20 rule(for many outcomes, roughly 80% of consequences come from 20% of causes) to identify where to direct our razor-sharp focus.
Each of us is passionate about excellence and growth, and we're encouraged to challenge the status quo and experiment with new methods. This mindset creates an environment where innovation is part of our daily routine and every team member is an impact-oriented trailblazer.
By celebrating our successes and learning from our setbacks, we stay agile and forward-thinking, always striving to elevate our performance and impact.

Learn about TRM Speed in this position:

The team received a request from customers to show the running balance for assets tied to an address within the product. They brainstormed to determine the minimal viable solution that could be delivered within two weeks. The team decided to develop a framework that would facilitate enabling this feature for each chain (such as BTC, ETH, etc.) individually. They successfully implemented and tested this solution for the BTC chain and delivered it to customers within the two-week timeframe. This approach allowed the team to quickly provide value to customers and establish a repeatable process.
The team was tasked with implementing a new feature that would enable TRM to gather feedback from the user community swiftly. Due to the company's goal of showcasing the feature at an upcoming event, the timeline was tight. The team quickly adjusted to the request, assessed the requirements, and developed a solution that addressed 80% of the needs and could be executed within a very short timeframe. They successfully delivered the feature on schedule, impressing customers with both the functionality and the speed of execution.
The team was tasked with developing a solution to reveal Indirect Exposure through cross-chain swaps in response to a competitor's similar feature. Before choosing the technical approach, the team consulted with stakeholders to establish a feasible timeline for the implementation. With this input, the team devised a solution that fit the timeline, communicated the tradeoffs to stakeholders, and successfully delivered the solution as promised.

The following represents the expected range of compensation for this role:

The estimated base salary range for this role is $220,000 - $240,000.
Additionally, this role may be eligible to participate in TRM’s equity plan.

Life at TRM

We are building a safer world. That promise shows up in how we work every day.

TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.

Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.

At TRM, you should expect:

Priorities and targets to change quickly as we experiment and iterate
Work that often requires operating with a high degree of ambiguity
A high level of personal ownership and accountability
Close collaboration across teams and functions
Frequent, high-touch communication
Creative problem solving and out-of-the-box thinking
A pace that rewards urgency, adaptability, and outcomes

This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.

We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.

At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like

AI Fluency at TRM

AI fluency is a baseline expectation at TRM.

We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.

At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:

Accelerate repeatable workflows
Structure and solve problems
Improve output quality
Increase speed and leverage

You will be evaluated on applied AI fluency during the interview process.

Leadership Principles

We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.

Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.
Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger.

Join our Mission

At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast.

TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, 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.

Privacy Policy and Additional Information

By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy.

Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law.

To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.

Recruitment agencies

TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

Learn More: Company Values | Interviewing | FAQs

Engineering Manager, Data Engineering - US Remote