Engineering Manager, Product Engineering

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.

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

• Accelerate repeatable workflows

• Structure and solve problems

• Improve output quality

• Increase speed and leverage

At TRM, you should expect:

• Priorities and targets to change quickly

• Operating with a high degree of ambiguity

• Close collaboration across teams and functions

• Frequent, high-touch communication

• Creative problem-solving and out-of-the-box thinking

• Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.