AI Engineering Manager, Product Engineering
Skills
About the Role
You will lead a multidisciplinary pod of frontend, backend, and full‑stack engineers to design, build, and ship AI‑infused product surfaces. You will review code, drive architecture decisions, prototype AI/LLM features, and own execution from 0→1 through scale. You will partner with Product and Design, engage with customers to inform product direction, and establish engineering fundamentals such as observability, testing, documentation, and reliable operations.
Requirements
- 5+ years of software engineering experience
- 2–5+ years of people management experience leading multidisciplinary product teams
- Proven product engineering experience building workflow‑heavy or data‑rich applications end‑to‑end
- Experience building or integrating AI/LLM‑powered features into production systems
- Ability to operate in ambiguous problem spaces and turn early ideas into shipped product
- Technical depth to review code, guide architecture, and make tradeoffs across frontend, backend, and AI systems
- Experience partnering closely with Product and Design
- Strong communication skills and comfort engaging directly with customers
Responsibilities
- Lead and develop a pod of engineers across frontend, backend, and full‑stack disciplines
- Own execution of AI‑powered product initiatives end‑to‑end
- Partner with Product and Design on roadmap planning and prioritization
- Drive predictable delivery while maintaining quality, reliability, and maintainability
- Provide technical leadership through design reviews and architectural guidance
- Review code and unblock engineers across the stack
- Collaborate cross‑functionally to integrate advanced AI capabilities into user experiences
- Establish engineering fundamentals including ownership, documentation, observability, and testing
- Hire and develop exceptional engineering talent
