AI Engineering Manager, Product Engineering - US Remote

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.

- 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 — 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 — and treat team quality as a product decision.

- You want real ownership: 0→1 bets, scaled systems, and the culture that makes both possible.

- 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.

- 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.

- Experience with data-rich, workflow-heavy, or real-time products.

- Familiarity with event-driven systems or complex integrations.