• Build autonomous AI SDRs that research prospects, craft personalized messages, and manage follow-up sequences at scale • Develop sophisticated lead scoring and enrichment pipelines using Clay data providers and waterfall enrichment methodology • Create AI-powered personalization engines using LLMs for dynamic content generation across all touchpoints • Design intent-based trigger systems that identify and act on buying signals automatically • Implement in-app and chat automations that guide users through their journey and capture expansion opportunities • Develop RAG applications and vector databases (using Supabase) for intelligent content retrieval and account intelligence • Create real-time dashboards tracking pipeline velocity, conversion rates, and revenue efficiency metrics • Implement predictive models for churn prevention and expansion opportunity identification • Design automated lead routing logic that considers rep expertise, capacity, and historical performance • Create customer lifecycle triggers that identify upsell opportunities and prevent churn • Design and implement a composable GTM architecture using n8n as the central orchestration platform, connecting tools in our revenue stack • Build event-driven workflows that respond to buyer signals in real-time (e.g., pricing page visits trigger instant enrichment and personalized outreach) • Create reusable automation patterns and maintain APIs