Senior Manager, Engineering-Clustering & Exposure

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely.

The Clustering and Exposure teams own two of the most critical datasets at Chainalysis - foundational data that powers every product we offer to national security agencies and global financial institutions. The Clustering team builds the systems that link blockchain addresses to real-world entities at scale. The Exposure team traces the on-chain movement of funds, continuously monitoring how value flows between known and unknown actors across blockchains via swaps and bridges. Together, these teams form the analytical backbone of the company and everything moves fast with a high bar for quality and correctness.

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.

About Chainalysis

Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.

You belong here.

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know.