Senior Manager, Engineering – Clustering & Exposure

Chainalysis Inc.

Senior Manager leading engineering teams for clustering infrastructure and exposure data systems. Driving technical vision and partnering with stakeholders to enhance product development.

Posted 6/24/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

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Hard Skills

software engineeringdata engineeringlarge-scale data processingdistributed systemsarchitecture decisionsdebuggingdesign documentationreal-time data tracingclusteringAI

Soft Skills

leadershipmentoringcollaborationtechnical credibilityproblem-solvingcontinuous improvementcommunicationtrust-buildingstrategic planningcontext-switching

Tools & Technologies

SparkFlinkDatabricksAirflowblockchaincryptocurrenciesengineering processestoolingincident responsedata systems

Industry Keywords

clustering infrastructureexposure data systemsmission-critical infrastructurecost efficiencyscalabilityreliabilitydata correctnessnation-state actorsdarknet marketsdata science

Tech Stack

Tools & technologies

AirflowDistributed SystemsSpark

About the role

Key responsibilities & impact

Build, lead, and mentor two high-performing engineering teams spanning clustering infrastructure and exposure data systems.
Drive the technical vision and roadmap across both domains, balancing reliability, scalability, cost efficiency, and speed of iteration.
Own the re-architecture of exposure systems to trace funds in real time, combating nation-state actors and darknet markets.
Evolve the next-generation clustering platform, ensuring Chainalysis stays ahead of an ever-changing blockchain landscape.
Partner with data producers, consumers, and product stakeholders to deliver a world-class developer and data science experience.
Establish engineering processes, tooling, and best practices that accelerate your teams and the broader organization.
Dive into hard problems hands-on when needed - architecture decisions, incident response, or unblocking the team.
Champion a culture of quality, correctness, and continuous improvement across mission-critical data systems.

Requirements

What you’ll need

Strong hands-on software and data engineering skills - you're comfortable reviewing code, writing design docs, debugging production systems, and making architectural decisions alongside your team.
Deep experience with large-scale data processing and distributed systems (e.g., Spark, Flink, Databricks, Airflow, or similar). You can evaluate trade-offs, not just delegate them.
A track record of leading multiple high-performing engineering teams - while staying close enough to the technical details to unblock, challenge, and elevate the work.
A keen interest and desire to drive the teams to embrace and thrive in an AI first environment
Experience managing across multiple problem domains simultaneously, with the ability to context-switch between strategic planning and hands-on technical contribution.
A collaborative, leadership style grounded in technical credibility - your team trusts your judgment because you've been in the trenches with them.
Excitement about working on large-scale graph, clustering, and real-time data tracing problems, and a genuine desire to own mission-critical infrastructure.
Strong focus on system reliability, data correctness, and cost-conscious engineering at scale.
Interest in blockchain and cryptocurrencies (or eagerness to learn - we'll help).

Benefits

Comp & perks

Competitive salary
Flexible working hours
Professional development budget
Home office setup allowance
Global team events