Chainalysis

4 weeks ago

Senior Manager, Engineering-Clustering & Exposure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead and mentor two engineering teams focused on clustering infrastructure and exposure data systems. Set the technical vision, drive scalable, AI-enabled data platforms, architect real-time tracing of funds, and partner with product and data teams to deliver a world-class developer and data science experience at a leading blockchain analytics company.

Location: Aarhus, Copenhagen

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Build, lead, and mentor two high-performing engineering teams spanning clustering infrastructure and exposure data systems.
•Drive the technical vision and roadmap across both domains, balancing reliability, scalability, cost efficiency, and speed of iteration.
•Own the re-architecture of exposure systems to trace funds in real time, combating nation-state actors and darknet markets.
•Evolve the next-generation clustering platform, ensuring Chainalysis stays ahead of an ever-changing blockchain landscape.
•Partner with data producers, consumers, and product stakeholders to deliver a world-class developer and data science experience.

Key Requirements

•Strong hands-on software and data engineering skills - comfortable reviewing code, writing design docs, debugging production systems, and making architectural decisions with your team.
•Deep experience with large-scale data processing and distributed systems (e.g., Spark, Flink, Databricks, Airflow, or similar). Ability to evaluate trade-offs, not just delegate them.
•Track record of leading multiple high-performing engineering teams while staying close to technical details to unblock and elevate the work.
• Keen interest to drive teams to embrace and thrive in an AI-first environment.
•Experience managing across multiple problem domains with the ability to context-switch between strategic planning and hands-on technical contribution.

Experience:BlockchainCryptocurrencyData engineeringDistributed systemsAI

Tech Stack:AWSKubernetesSparkFlinkJavaPythonDatabricksRisingWaveParquetIcebergDeltaPaimonTerraformGitHub

Company Brief

Chainalysis

Provides blockchain data, analytics, and investigation software to law enforcement, regulators, financial institutions, and crypto businesses to detect illicit activity, ensure compliance, and build trust in digital asset ecosystems.

Industry: RegTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series F

Headquarters: New York, United States

Founded: 2014

Glassdoor: 2.8

Website LinkedIn Glassdoor

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Chainalysis

4 weeks ago

Senior Manager, Engineering-Clustering & Exposure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Aarhus, Copenhagen

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Build, lead, and mentor two high-performing engineering teams spanning clustering infrastructure and exposure data systems.
•Drive the technical vision and roadmap across both domains, balancing reliability, scalability, cost efficiency, and speed of iteration.
•Own the re-architecture of exposure systems to trace funds in real time, combating nation-state actors and darknet markets.
•Evolve the next-generation clustering platform, ensuring Chainalysis stays ahead of an ever-changing blockchain landscape.
•Partner with data producers, consumers, and product stakeholders to deliver a world-class developer and data science experience.

Key Requirements

•Strong hands-on software and data engineering skills - comfortable reviewing code, writing design docs, debugging production systems, and making architectural decisions with your team.
•Deep experience with large-scale data processing and distributed systems (e.g., Spark, Flink, Databricks, Airflow, or similar). Ability to evaluate trade-offs, not just delegate them.
•Track record of leading multiple high-performing engineering teams while staying close to technical details to unblock and elevate the work.
• Keen interest to drive teams to embrace and thrive in an AI-first environment.
•Experience managing across multiple problem domains with the ability to context-switch between strategic planning and hands-on technical contribution.

Experience:BlockchainCryptocurrencyData engineeringDistributed systemsAI

Tech Stack:AWSKubernetesSparkFlinkJavaPythonDatabricksRisingWaveParquetIcebergDeltaPaimonTerraformGitHub

Company Brief

Chainalysis

Industry: RegTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series F

Headquarters: New York, United States

Founded: 2014

Glassdoor: 2.8

Website LinkedIn Glassdoor