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 – 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

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. You can learn more.