Senior Manager, Engineering-Clustering & Exposure

Chainalysis; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Chainalysis seeks a Senior Manager to lead engineering teams focused on clustering and exposure data systems within blockchain analytics. You will define the technical vision and roadmap to ensure scalable, reliable data platforms.

The role emphasizes collaboration with data producers and product stakeholders to improve developer and data science experiences. The ideal candidate brings strong software engineering skills and proven experience managing high-performing teams in large-scale data

Qualifications

• Demonstrated leadership of engineering teams
• Strong software engineering fundamentals and architecture
• Experience with data-intensive, large-scale systems
• Familiarity with blockchain analytics is a plus

Responsibilities

• Lead two engineering teams focused on clustering infrastructure and exposure data systems
• Set technical vision and product roadmap for data platforms
• Ensure reliability, scalability, and efficiency of critical data systems
• Collaborate with data producers and product stakeholders to improve developer and data science workflows

Skills

Leadership

Software engineering

Data engineering

Large-scale data

Blockchain analytics

Job description

Chainalysis seeks a Senior Manager to lead engineering teams focused on clustering and exposure data systems within blockchain analytics. Ideal candidates have strong software engineering skills and experience managing high-performing teams in large-scale data environments.

In this role, you will lead two critical engineering teams responsible for clustering infrastructure and exposure data systems that underpin Chainalysis's offerings to national security and financial institutions. Your leadership will drive the technical vision and roadmap, ensuring systems are reliable, scalable, and efficient.

The engineering team is dedicated to solving complex problems in the rapidly evolving blockchain space. You will work closely with data producers and product stakeholders to enhance developer and data science experiences, while also establishing best practices and processes that promote quality and continuous improvement.