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, agents, and tools like Claude Code, and comfortable orchestrating 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 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 (FE + BE + 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 - 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.

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 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 to inform product direction.

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.

U.S. Citizenship Required: This role requires U.S. citizenship due to the nature of the work and applicable customer and government requirements.

Work Week Travel: This role requires participation in in-person R&D work weeks, typically 1–2 times per quarter, at a TRM hub or other designated location. Work weeks may be scheduled with as little as 14 days’ notice, and some roles may require additional travel based on team and cross-functional needs. TRM coordinates and covers approved travel, lodging, and workspace. Accommodations are available for legitimate caregiving, health, immigration, and similar constraints.

Application Instructions

If you’re interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team.

Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your skills and qualifications for the role.

If you send your resume directly to someone at TRM, we can’t guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure your application will be considered.

Interviewing with TRM

Our process is designed to understand how you think, solve problems, and deliver impact, while allowing you to evaluate TRM. Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview.

• Recruiter Intro: Qualifications, motivations, and alignment with the role.

• Hiring Manager: Deep dive into your relevant experience, skills, and impact.

• First Round: 1–2 interviews focused on the skills most critical to the role.

• Final Round: Hands-on case study. This is usually a panel-style session where we go deeper into your craft, problem-solving, and alignment with TRM.

• References: Former colleagues who can provide insight into your work and impact.

• Offer: Congrats! Your recruiter will present the offer and compensation details.

• Welcome to TRM: We're excited to build a safer world with you!

Your recruiter will share your specific interview plan and preparation guidance along the way.

AI Fluency at TRM

AI fluency is a baseline expectation at TRM.

We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.

At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:

• Accelerate repeatable workflows

• Structure and solve problems

• Improve output quality

• Increase speed and leverage

You will be evaluated on applied AI fluency during the interview process.

Life at TRM

We are building a safer world. That promise shows up in how we work every day.

TRM moves FAST. We are a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.

Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.

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