Senior Manager, Engineering – Clustering & Exposure

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Chainalysis Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔌 API

💳 Fintech

🔒 Cybersecurity

💰 $170M Series F on 2022-05

API • Fintech • Cybersecurity

Chainalysis is the leading blockchain data platform that provides blockchain intelligence solutions for various sectors, including law enforcement, regulators, financial institutions, and centralized exchanges. The company helps organizations tackle crypto challenges, ensure compliance with regulations, and mitigate risks associated with cryptocurrency transactions through its innovative solutions and insights. With an R&D hub known as Chainalysis Labs, the company is dedicated to advancing blockchain intelligence and supporting a safer digital economy.

📋 Description

• 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.

🎯 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., 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).

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events