Senior Manager, Data Science

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.

• 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.

• 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.

• 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.

• 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.

- 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.

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

- Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.

- The estimated base salary range for this role is $210,000 - $230,000

- Additionally, this role may be eligible to participate in TRM’s equity plan.

- Please note – we factor in the different costs for geographies outside the United States.