Engineering Manager, Clustering Platform

Chainalysis • New York City, NY

51d

About The Position

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in the UK, Denmark, Canada, the USA, and other parts of the EU who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to build a flexible platform that will allow us to adapt to those rapid changes. The Engineering Manager for the Clustering Platform team will own and evolve the systems that power Chainalysis's core clustering capabilities — how we link blockchain addresses to real-world entities at scale. You'll lead a high-performing engineering team, shape the next-generation clustering architecture, and partner closely with data and product teams to keep our platform ahead of an ever-changing industry.

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).

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 251-500 employees