Engineering Manager, Product Engineering

Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. As an Engineering Manager on the AI Product Engineering team, you will re-imagine from first principles how people interact with software — unencumbered by the legacy of traditional SaaS. You'll lead a multidisciplinary pod of frontend, backend, and full-stack engineers to build tooling that enables crime fighters to keep pace with the growing threat of AI-powered crime. That means shipping workflows that are more autonomous, auditable, and 10x more effective than current SaaS-based tools. This role blends people leadership, technical judgment, and end-to-end ownership — from 0→1 product bets through to scaled, reliable production systems. You'll partner closely with Product, Design, and AI-focused teams to translate ambiguous ideas into intuitive, scalable product experiences. This role is for you if… You’re an Engineering Manager who still ships. You review code, jump into PRs when needed, and stay close to the architecture. You’re obsessed with building at the frontier of AI and experimenting with LLMs [... source excerpt omitted ...] chestrating multiple agents in parallel. You don’t need heavy PM structure. You turn ambiguity into momentum and move fast without waiting for perfect specs. You love talking to customers and use those conversations to shape what gets built. You hire and inspire exceptional engineers, plus treat team quality as a product decision. You want real ownership: 0→1 bets, scaled systems, and the culture that makes both possible. The impact you’ll have here: Lead and develop a pod of engineers across frontend, backend, and full‑stack disciplines, setting a high bar for craftsmanship, pace, and ownership. Own execution of key AI‑powered product initiatives end‑to‑end, from shaping [... source excerpt omitted ...] r AI‑infused product surfaces. Foster a culture of high trust, high velocity, and candid communication, where hiring and developing exceptional talent is treated as a first‑class responsibility. What we’re looking for: 5+ years of software engineering experience and 2–5+ years of people management experience, leading multidisciplinary product teams that ship user-facing software. Strong product engineering background building workflow-heavy or data-rich applications end-to-end, from 0→1 through scale. Experience building or integrating AI/LLM-powered features into production systems. You understand the practical realities of shipping AI — iteration, evaluation, reliability, and U