Engineering Manager, Clustering Platform

Chainalysis

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong hands-on software and data engineering skills
  • Deep experience with large-scale data processing and distributed systems
  • Proven record of leading high-performing engineering teams
  • Ability to switch between people leadership and hands-on technical work
  • Collaborative servant-leadership style with technical credibility
  • Excitement about large-scale graph and clustering problems
  • Interest in blockchain and cryptocurrencies

Responsibilities

  • Build, lead, and mentor a team of engineers focused on clustering infrastructure and data systems
  • Drive the technical vision and roadmap for the Clustering Platform
  • Partner with data producers, consumers, and product stakeholders
  • Establish engineering processes, tooling, and best practices
  • Dive into complex problems hands-on when necessary
Full Job Description
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. In this role, you'll: • 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 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., 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).

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