Senior Manager, Engineering - Clustering & Exposure - Chainalysis

Key Responsibilities

• Architect and deliver scalable clustering and exposure detection services that process billions of blockchain events daily.
• Guide a multidisciplinary team of engineers and data scientists in building AI‑powered entity resolution and predictive risk models.
• Define technical roadmaps, set engineering standards, and ensure robust CI/CD pipelines using AWS and Kubernetes.
• Collaborate with product, security, and research stakeholders to translate threat intelligence into actionable platform features.
• Mentor senior engineers, drive hiring initiatives, and foster a culture of continuous learning and high impact delivery.

Requirements

• 5+ years of hands‑on software engineering experience, with at least 2 years leading technical teams in a fast‑moving, data‑intensive environment.
• Deep expertise in Python and modern machine‑learning frameworks for large‑scale clustering and anomaly detection.
• Proven track record designing and operating distributed systems on AWS, including container orchestration with Kubernetes.
• Strong background in data engineering pipelines, entity resolution, and building predictive models for security or fraud domains.
• Excellent communication skills and ability to align engineering execution with product and research goals.