Senior Manager, Engineering-Clustering & Exposure

Chainalysis Inc.

Job Overview

Location

Aarhus Office

Job Type

Full-time

Full Job Description

📋 Description

• Lead and mentor two high-performing engineering teams focused on clustering infrastructure and exposure data systems, which form the analytical backbone of Chainalysis’s blockchain intelligence platform.
• Drive the technical vision and roadmap for entity resolution systems that link blockchain addresses to real-world entities at scale, ensuring accuracy, scalability, and adaptability to evolving blockchain protocols.
• Re-architect exposure systems to enable real-time tracing of fund movements across blockchains via swaps and bridges, directly countering nation-state actors and darknet market activities.
• Evolve the next-generation clustering platform to maintain Chainalysis’s leadership in blockchain analytics amid rapid industry changes and emerging privacy-enhancing technologies.
• Partner with data producers, data scientists, and product stakeholders to deliver a world-class developer and analytical experience across mission-critical data pipelines.
• Establish and enforce engineering processes, tooling, and best practices that improve team velocity, system reliability, and organizational-wide standards for data correctness.
• Actively contribute hands-on to technical challenges including architecture design, production incident response, and performance optimization of large-scale distributed systems.
• Champion a culture of quality, correctness, and continuous improvement across systems that support national security agencies and global financial institutions.
• Lead teams in embracing an AI-first methodology, where AI is integrated as a core way of working—not as a feature—to automate investigation, enhance data labeling, and accelerate threat detection.
• Balance strategic planning with deep technical involvement, context-switching between long-term roadmap development and immediate engineering blockers.
• Own end-to-end responsibility for system reliability, cost efficiency, and data integrity in high-throughput, low-latency data pipelines processing petabytes of blockchain data.
• Collaborate across engineering, product, and data science teams to align technical execution with business objectives and regulatory requirements.
• Evaluate and implement modern data technologies including Spark, Flink, Databricks, RisingWave, Parquet, Iceberg, Delta, and Paimon to optimize data processing workflows.
• Utilize AWS serverless architectures and Kubernetes to build scalable, resilient infrastructure that supports global customer demand.
• Foster a leadership style grounded in technical credibility, where team trust is earned through hands-on experience, clear decision-making, and shared ownership of outcomes.
• Promote AI fluency across teams by encouraging experimentation, ownership of AI-generated outputs, and collaboration to reinvent how work is done—without reducing effort, but enabling previously impossible capabilities.
• Maintain a strong focus on cost-conscious engineering while ensuring systems meet the highest standards of precision required for law enforcement and compliance use cases.
• Stay deeply engaged with the blockchain ecosystem, understanding protocol changes, privacy mechanisms, and emerging on-chain patterns that impact entity resolution and fund tracing accuracy.

🎯 Requirements

• Strong hands-on software and data engineering skills, including code reviews, design documentation, production debugging, and architectural decision-making
• Deep experience with large-scale data processing and distributed systems such as Spark, Flink, Databricks, Airflow, or similar technologies
• Proven track record of leading multiple high-performing engineering teams while maintaining technical depth and hands-on involvement
• Experience managing across multiple complex problem domains simultaneously, balancing strategic planning with technical execution
• A collaborative leadership style grounded in technical credibility and trust earned through prior hands-on engineering work
• Strong focus on system reliability, data correctness, and cost-efficient engineering at scale

🏖️ Benefits

• Opportunity to work on mission-critical infrastructure used by national security agencies and global financial institutions
• Access to industry-leading blockchain data and AI tools to drive innovation in entity resolution and fund tracing
• Culture that empowers employees to experiment with AI and reinvent workflows, with support for curiosity and self-driven learning
• Collaborative environment with globally distributed, exceptionally talented engineering teams
• Commitment to diversity, inclusion, and belonging across all levels of the organization
• Support for professional growth through access to cutting-edge technologies and real-world impact in blockchain security

Skills & Technologies

Python

Java

AWS

Kubernetes

Terraform

Senior

Onsite

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Chainalysis Inc.

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About Chainalysis Inc.

Chainalysis Inc. provides blockchain data analytics and compliance software to governments, banks, and private-sector clients. Its platform traces cryptocurrency transactions to investigate illicit activity, assess risk, and ensure regulatory compliance. Founded in 2014 and headquartered in New York City, the company indexes on-chain data across multiple blockchains, offering investigation, risk management, and compliance tools that help institutions transact safely with digital assets and support law enforcement in tracking ransomware, money laundering, and other financial crimes.

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