Senior Manager, Engineering-Clustering & Exposure

In this role, you’ll

• 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.

We’re looking for candidates who have

• 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).

Nice to have experience

• Hands-on experience with blockchain technology, cryptocurrency protocols, or on-chain data analysis.
• Experience with entity resolution, graph algorithms, or large-scale clustering problems.
• Familiarity with cost optimization for high-throughput data pipelines

Technologies we use

• AWS serverless architectures
• Kubernetes
• Spark
• Flink
• Java
• Python
• Databricks
• RisingWave
• Parquet, Iceberg, Delta, Paimon
• Terraform
• GitHub

AI at Chainalysis

AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.

AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.