Senior Manager, Engineering – Clustering & Exposure

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Lead, build, and mentor two high-achieving engineering teams focused on clustering infrastructure and exposure data systems.

• Drive the technical vision and strategic roadmap across both areas, balancing reliability, scalability, cost-effectiveness, and rapid iteration.

• Take ownership of re-architecting exposure systems for real-time fund tracing, addressing threats from nation-state actors and darknet markets.

• Advance the next-generation clustering platform, ensuring Chainalysis remains at the forefront of an evolving blockchain environment.

• Collaborate with data producers, consumers, and product stakeholders to provide an exceptional developer and data science experience.

• Implement engineering processes, tools, and best practices that enhance the productivity of your teams and the wider organization.

• Engage directly in complex challenges when necessary, including architecture decisions, incident management, or helping to remove obstacles for the team.

• Promote a culture of quality, accuracy, and continuous improvement across critical data systems.

⛳️ Requirements

• Proficient in hands-on software and data engineering skills - comfortable reviewing code, drafting design documents, debugging production systems, and making architectural decisions alongside your team.

• Extensive experience with large-scale data processing and distributed systems (e.g., Spark, Flink, Databricks, Airflow, or comparable). You can assess trade-offs, rather than just pass them on.

• Proven history of leading multiple high-performing engineering teams while remaining close enough to the technical specifics to unblock, challenge, and elevate the output.

• A strong interest and motivation to guide teams in adapting to and excelling in an AI-first environment.

• Experience managing across various problem domains concurrently, with the capability to switch contexts between strategic planning and direct technical contributions.

• A collaborative leadership approach rooted in technical credibility - your team values your judgment because you have shared the challenges with them.

• Enthusiasm for tackling large-scale graph, clustering, and real-time data tracing challenges, along with a genuine commitment to owning mission-critical infrastructure.

• Strong emphasis on system reliability, data integrity, and cost-effective engineering at scale.

• Interest in blockchain and cryptocurrencies (or a willingness to learn - we will support you).

🏝️ Benefits

• Competitive salary

• Flexible working hours

• Professional development budget

• Home office setup allowance

• Global team events