Full Job Description
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 01 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 - 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: 01 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 01 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 01 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.
