TRM Labs builds AI-powered blockchain intelligence tools that help governments and financial institutions detect and disrupt crypto-related crime.
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. At TRM Labs, we’re on a mission to build the best blockchain intelligence on earth — and we’re looking for a seasoned Data Science Manager to lead the charge on one of our most foundational initiatives: connecting blockchain activity to real-world entities with unmatched precision and scale. This team tackles one of the most challenging and high-impact problems in blockchain analytics — combining intelligence, data science, and applied machine learning. The role is a unique blend of technical leadership, product strategy, and people management — perfect for someone who thrives in ambiguity and wants to shape how the world understands what’s happening on-chain. The impact you will have: • Lead and mentor a high-performing data science team operating at the intersection of blockchain, intelligence, and machine learning — balancing individual execution with strategic vision. • Drive technical innovation across a diverse stack (e.g., Airflow, BigQuery, Kafka, Python), ensuring our data models and pipelines scale with quality and precision. • Collaborate cross-functionally with engineering, product, and intelligence teams to transform raw blockchain data into insights that power TRM’s products and customer experiences. • Help make TRM the market leader in blockchain Attribution, setting new standards for accuracy, trust, and usability in blockchain data. • Recruit, develop, and retain top talent — and play a critical role in growing the team’s technical and product maturity. What we’re looking for: • Technical depth: You’ve led data science teams in complex, ambiguous environments, and can operate across the stack — from debugging DAGs to modeling strategy. • Product sense: You understand customer problems deeply and can shape product direction through data and experimentation. • Hands-on leadership: You’re not just a people manager. You stay close to the work, unblock your team, and lead by example. • Curiosity & growth mindset: You’re energized by novel problems, seek truth through data, and thrive in fast-paced, scrappy environments. • Strong communicator: You make your thinking legible — to engineers, PMs, and executives — and influence through clarity, not volume. Minimum qualifications: • 4+ years of experience managing data science or ML teams. • Proven experience with large-scale data systems (e.g., BigQuery, Snowflake). • Strong programming skills in Python and familiarity with production code practices (git, testing, notebooks). • Bachelor’s degree or higher in a quantitative field (CS, Stats, Physics, Engineering). Advanced degree preferred. About the team: • A team of ~8 DSists , fully remote, with regular async and synchronous collaboration. • High-trust, fast-moving, and relentlessly curious — we work at the bleeding edge of blockchain intelligence. • US time zones preferred; at least 6 hours overlap with US Eastern time required. • On-call responsibilities rotate every ~2 months. Examples of TRM Speed in this position - Understands the importance of customer-facing incidents (if and when they occur). Is willing to push the boundaries of a simple work day if an incident arises to ensure the issue is mitigated. e.g. A customer incident starts around 4:45PM on a Thursday. Is able to engage, rally support, and manage resolution of the incident even when it bleeds into non-9-to-5 work time. - Also understands that incident prevention is squarely in the control and ownership of engineering & DS leadership and correctly prioritizes the type of work to prevent customer incidents. “Project Zero” - prioritize high-quality, long-term fixes to incident issues. - Effectively uses AI and self-driven investigation to understand the capabilities and boundaries of partner team infrastructure. - The answer to “can we display a new type of swap” can be answered 100% by a savvy individual with help from AI. - Used AI tools to rapidly solve a UI issue with same-chain-swaps signatures. When testing, we discovered the UI wasn't showing funds flow lines as expected. After initially considering pulling the product feature, or looping in product engineering and product management, I used Codex to identify the exact line of code causing the issue in an unfamiliar codebase. This allowed us to ask a targeted question to the right teams, resulting in a same-day fix. 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, solvi