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Senior Manager, Engineering - Clustering & Exposure - Chainalysis
Software Engineer
Lead a high‑performing engineering team to design AI‑driven clustering and exposure detection pipelines, leveraging Python, machine learning, and cloud infrastructure to combat illicit cryptocurrency activity.
About the role
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.
Skills
pythonmachine learningawskubernetes