Engineering Manager, Product Engineering

As an Engineering Manager on the AI Product Engineering team at TRM Labs, you will lead a multidisciplinary pod of frontend, backend, and full-stack engineers to build tooling that enables crime fighters to keep pace with AI-powered crime. You'll blend people leadership, technical judgment, and end-to-end ownership, shipping workflows that are more autonomous, auditable, and significantly more effective than current SaaS-based tools. You'll partner closely with Product, Design, and AI-focused teams to translate ambiguous ideas into intuitive, scalable product experiences.

What you'll do

• 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 problem statements and 0→1 prototypes to launch, iteration, and scale
• Partner closely with Product and Design on roadmap planning, tradeoffs, and prioritization, especially where AI can unlock step-function improvements in user workflows
• Drive predictable delivery while maintaining high standards for quality, reliability, and maintainability in a fast-moving environment
• Provide technical leadership through design reviews, architectural discussions, and unblocking engineers across the stack (frontend, backend, and integrations)
• Collaborate cross-functionally with other engineering teams (data, platform, AI/agents) to integrate advanced capabilities into clear, explainable user experiences
• Establish strong engineering fundamentals including clear ownership, documentation, observability, testing, and operational rigor for 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
• Review code, jump into pull requests when needed, and stay close to the architecture
• Engage directly with customers to inform product direction and shape what gets built

What you bring

• 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, with understanding of the practical realities of shipping AI including iteration, evaluation, reliability, and UX tradeoffs
• Proven ability to operate in ambiguous problem spaces, move quickly without heavy process, and turn early ideas into shipped product
• Technical depth to review code, guide architecture, and make sound tradeoffs across frontend, backend, and AI-integrated systems
• Experience partnering closely with Product and Design in fast-moving environments, balancing speed, quality, and user experience
• Strong communication skills and comfort engaging directly with customers
• AI fluency at a top 10 percent level in your function, using AI to accelerate workflows, structure problems, improve output quality, and increase speed and leverage

Nice to have

• Experience scaling or evolving product engineering pods
• Background in B2B or enterprise software
• Experience with data-rich, workflow-heavy, or real-time products
• Familiarity with event-driven systems or complex integrations

What we offer

• A role that blends people leadership, technical judgment, and end-to-end ownership with real autonomy and impact
• Work at the intersection of AI, national security, and crime-fighting with meaningful, high-stakes problems

About TRM Labs

TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.