AI Engineering Manager, Product Engineering
Blockchain intelligence company providing tools to detect, investigate, and manage crypto-related fraud, financial crime, and compliance for institutions and government agencies.
Funding history
Investors
About TRM Labs
TRM Labs provides blockchain intelligence for investigations and compliance, offering products such as forensics, wallet screening, entity screening, transaction monitoring, and APIs. It serves financial institutions, crypto businesses, and public sector agencies to trace funds, assess risk, and build cases across digital assets.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Lead a multidisciplinary pod of frontend, backend, and full-stack engineers to design, build, and ship AI-infused product surfaces. Review code, guide architecture, prototype AI and LLM features, own execution from 0→1 through scale, partner with Product and Design, engage customers, and establish strong engineering fundamentals.
Requirements
- 5+ years of software engineering experience.
- 2–5+ years of people management experience leading multidisciplinary product teams.
- Product engineering experience building workflow-heavy or data-rich applications end-to-end.
- Experience building or integrating AI/LLM-powered features into production systems.
- Ability to operate in ambiguity and turn early ideas into shipped products.
- Technical depth across frontend, backend, and AI-integrated systems.
- Experience partnering closely with Product and Design.
- Strong communication skills and comfort engaging directly with customers.
Responsibilities
- Lead and develop a pod of frontend, backend, and full-stack engineers.
- Own AI-powered product initiatives end-to-end from prototypes through launch, iteration, and scale.
- Partner with Product and Design on roadmap planning, tradeoffs, and prioritization.
- Drive predictable delivery while maintaining quality, reliability, and maintainability.
- Provide technical leadership through design reviews and architectural guidance.
- Review code and unblock engineers across the stack.
- Collaborate with data, platform, and AI teams to integrate advanced capabilities into user experiences.
- Establish ownership, documentation, observability, testing, and operational rigor.
- Hire and develop exceptional engineering talent.
