Engineering Manager, Platform
Chainalysis is the blockchain data platform.
About Chainalysis
Chainalysis offers a blockchain data platform that utilizes sophisticated machine learning and proprietary architecture to handle extensive clustering heuristics, ingest data at scale, and ensure high data accuracy. The platform supports new blockchains and standard tokens automatically, providing comprehensive industry coverage. It simplifies tracing fund flows through complex transactions like bridges, mixers, and DEX swaps. The data provided by Chainalysis is court-admissible and has been instrumental in legal actions. The company provides global, 24/7 support with localized guidance and expertise in various threat typologies and advanced investigative techniques. Through its R&D initiative, Chainalysis Labs, the company continues to innovate and introduce new, unique features and capabilities in blockchain intelligence.
Skills
About the Role
You'll lead and grow a distributed team of platform engineers, making software delivery faster and safer. You'll oversee delivery pipelines, developer tooling, and the safe integration of AI-assisted development into production workflows. This is a high-leverage leadership role for a former individual contributor who excels at driving organizational change and technical adoption. You will build deep relationships with engineering leads, establish key performance metrics, define AI strategy for the SDLC, and participate in an incident-commander rota.
Requirements
- Demonstrated experience managing DevX, Platform, or Infrastructure teams for internal customers
- A strong background in hands-on software engineering prior to moving into management
- A proven track record of attracting, developing, and retaining high-performing engineering talent
- Experience measuring and improving software delivery using DORA metrics or similar frameworks
- Excellent communication skills with the ability to influence cross-functional teams without direct authority
- Conceptual understanding of cloud-native ecosystems and architectural trade-offs
- Experience with modern CI/CD patterns such as GitOps, Argo, or Flux
- Interest in the emerging security and quality considerations surrounding AI-generated code
- Experience managing distributed teams across multiple time zones
Responsibilities
- Lead and grow a distributed team of platform engineers, hiring strategically as the team scales
- Own the roadmap for the Software Delivery Lifecycle (SDLC), balancing immediate developer friction with long-term platform bets
- Build deep relationships with engineering leads to drive adoption of standardized pipelines and platform-managed solutions
- Establish and measure key performance metrics such as DORA to track improvements in deployment frequency and release confidence
- Define the strategy for AI in the SDLC, setting quality gates and guardrails for AI-assisted code
- Participate in an incident-commander rota to ensure operational health and a sustainable team burden