Chainalysis jobs

Chainalysis, a rapidly scaling SaaS company in blockchain/crypto, is seeking a Senior Manager of Revenue Accounting to lead and scale the global revenue accounting function, manage complex revenue recognition under ASC 606, and oversee the quote-to-cash process. The role supports revenue operations and is based in New York or remote (US-based), with salary range $121k–$195k; it requires strong technical accounting expertise, cross-functional partnership, and process automation focus.

Senior Manager, Engineering-Clustering & Exposure at Chainalysis, based in London with remote flexibility. Role involves leading two high-performing engineering teams building blockchain data systems for entity clustering and fund exposure tracing. Requires strong hands-on skills in large-scale data processing (Spark, Flink, Databricks, Airflow) and proven team leadership experience. This is a management/leadership role, not an individual contributor position.

Senior Manager, Engineering-Clustering & Exposure at Chainalysis, based in Denmark with remote flexibility. Role involves leading two high-performing engineering teams building blockchain data systems for entity clustering and fund exposure tracing. Requires strong hands-on skills in large-scale data processing (Spark, Flink, Databricks, Airflow) and proven team leadership experience. This is a management/leadership role, not an individual contributor position.

Chainalysis is hiring a Senior Operations Analyst for its IT/Business Technology (BizTech) team in Tel Aviv, focused on employee onboarding, IT support, hardware/software troubleshooting, and operational efficiency across Google, Slack, JAMF, Microsoft, and Okta platforms. This is an internal IT operations and support role, not a revenue-facing or GTM operations function.

Chainalysis seeks a Staff Software Engineer for their Investigations/Graphs team in Aarhus to lead cloud-native data ingest, APIs, and visualization services handling gigabytes of blockchain data daily. The role requires Java/TypeScript expertise, AWS/GCP cloud architecture, mentoring, and cross-team leadership on a cryptanalysis platform used for compliance and fraud detection.

Data Product Manager role at Chainalysis' Enterprise Data & Analytics team responsible for translating business problems into scalable internal data products, defining metric standardization, and collaborating with Data Engineering on data modeling and semantic layers. Remote Canada-based; requires data product thinking, stakeholder translation, data warehousing knowledge (Snowflake/Databricks/dbt), and business metrics fluency (ARR/Churn/NRR/LTV:CAC). Focused on internal data infrastructure and adoption enablement rather than revenue operations or GTM execution.

Senior Data Scientist position at Chainalysis focused on blockchain analysis, behavioral heuristics, and machine learning for on-chain data. Requires PhD or equivalent in technical field, expert Python/SQL, and graph algorithms expertise. Based in London office.

Staff Product Security Engineer at Chainalysis, a blockchain-focused SaaS platform used by governments and financial institutions to investigate financial crime, leading product security across one or more product areas. You'll own the unified security review process for new launches and AI tooling, drive the vulnerability disclosure program and security frameworks, perform hands-on penetration testing, contribute code fixes directly to product repos, and participate in on-call rotations for production incidents. Required: 8+ years of application security engineering, strong production coding ability in Java, TypeScript, Python, or Go (with ability to perform deep code review and write proof-of-concept exploits), hands-on SaaS penetration testing, threat modeling and secure design review experience, and familiarity with Web application vulnerabilities and securing AI/LLM platforms. Nice-to-have experience includes blockchain/Web3 background and building AI workflows. This is a technical leadership role requiring both strategic security work and hands-on engineering across AWS, Kubernetes, and modern CI/CD tooling, with the unusual domain focus of financial crime investigation on blockchains—experience in this space is valued but not required.