• Own engineering end-to-end: architecture, technical direction, quality, and scalability • Lead delivery across product and engineering—turning product goals into shipped reality • Design, build, and own AI-driven systems, including agents, decision engines, and model-backed workflows • Set the technical strategy for how they use AI responsibly, reliably, and at scale • Stay hands-on in the code while also setting the long-term technical vision • Lead and mentor the engineering team; help build the team and culture over time • Partner closely with the CEO on roadmap decisions, sequencing, and technical tradeoffs • Make clear, pragmatic decisions around build vs buy, infrastructure, and integrations • Anticipate technical risk and address it before it becomes a blocker