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TRM Labs

AI Engineering Manager, Product Engineering

United StatesFull-timeGlobal
📊 Senior🏠 Remote

Job Description

[AI-summarized by JobStash]

You will lead a multidisciplinary pod of frontend, backend, and full‑stack engineers to design, build, and ship AI‑infused product surfaces. You will review code, drive architecture decisions, prototype AI/LLM features, and own execution from 0→1 through scale. You will partner with Product and Design, engage with customers to inform product direction, and establish engineering fundamentals such as observability, testing, documentation, and reliable operations.

Requirements

  • ●5+ years of software engineering experience
  • ●2–5+ years of people management experience leading multidisciplinary product teams
  • ●Proven 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 ambiguous problem spaces and turn early ideas into shipped product
  • ●Technical depth to review code, guide architecture, and make tradeoffs across frontend, backend, and AI systems
  • ●Experience partnering closely with Product and Design
  • ●Strong communication skills and comfort engaging directly with customers

Responsibilities

  • ●Lead and develop a pod of engineers across frontend, backend, and full‑stack disciplines
  • ●Own execution of AI‑powered product initiatives end‑to‑end
  • ●Partner with Product and Design on roadmap planning 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 cross‑functionally to integrate advanced AI capabilities into user experiences
  • ●Establish engineering fundamentals including ownership, documentation, observability, and testing
  • ●Hire and develop exceptional engineering talent

Tech Stack

code reviewobservabilityarchitectureAIworkflowLLMagentbackendfrontenddata
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