• End-to-end ownership of AI product vision, roadmap, and delivery • Business performance of AI products (adoption, engagement, retention, revenue) • Near and mid-term AI strategy (12–36 months), with input into longer-term direction • Cross-functional alignment across Product, Engineering, Design, Data, and GTM • The evolution of AI-native UI/UX across the platform • Define and continuously refine the AI product vision and mission for GoHighLevel • Own the AI product roadmap, balancing near-term wins with foundational investments • Identify high-leverage AI opportunities that materially improve customer outcomes and platform differentiation • Help shape how AI becomes embedded into the core product experience—not bolted on • Lead AI products from discovery through launch, iteration, and scale • Partner closely with Engineering and Data teams to deliver reliable, scalable AI systems • Maintain strong product quality and customer trust while moving quickly in a fast-evolving AI landscape • Make pragmatic tradeoffs across scope, speed, cost, and technical complexity • Be directly accountable for AI adoption, usage, retention, and monetization • Translate AI capabilities into clear customer value propositions and pricing/packaging inputs • Use data and customer feedback to drive continuous improvement and prioritization • Clearly communicate AI product performance, risks, and opportunities to executive leadership • Drive the evolution of AI-native UI and UX, ensuring AI feels intuitive, proactive, and valuable • Influence platform-wide product decisions where AI meaningfully impacts customer workflows • Collaborate with Design to set standards for AI interactions, transparency, and trust • Act as the central product leader for AI across the company • Work closely with GTM teams to ensure AI products are well-positioned, adopted, and supported • Partner with executive leadership on AI strategy, investment tradeoffs, and sequencing • Provide clear, structured updates on AI progress and impact • Lead and mentor AI-focused product managers and cross-functional product pods • Help shape the future AI product organization as scope and impact grow • Establish product practices that support experimentation, learning, and scale