Chainalysis is a global organization focused on building trust in cryptocurrencies and solving technical challenges. The Engineering Manager for the Clustering Platform team will lead a talented engineering team to enhance the systems that link blockchain addresses to real-world entities, ensuring the platform remains adaptable in a rapidly changing industry.
Responsibilities:
- Build, lead, and mentor a team of talented engineers focused on clustering infrastructure and data systems
- Drive the technical vision and roadmap for the Clustering Platform, balancing reliability, scalability, and speed of iteration
- 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 the team and the broader organization
- Dive into hard problems hands-on when needed — architecture decisions, incident response, or unblocking the team
Requirements:
- 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., PySpark, Databricks, Airflow, or similar). You can evaluate trade-offs, not just delegate them
- A track record for leading high-performing engineering teams — while staying close enough to the technical details to unblock, challenge, and elevate the work
- Ability to context-switch between people leadership and hands-on technical contribution, especially during critical moments like incident response, system design, or prototyping
- A collaborative, servant-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 and clustering problems, and a genuine desire to own mission-critical infrastructure
- Interest in blockchain and cryptocurrencies (or eagerness to learn — we'll help)