• Own pipeline targets: Build and execute quarterly demand plans mapped to revenue; forecast MQL→SQL→Opp conversions, sourced/influenced pipeline, CAC/LTV. • Run integrated campaigns: Always-on and episodic plays across paid search/social, content syndication, developer communities, partnerships, and field. Ensure narratives tie AI infra outcomes (faster inference/training, lower TCO, elastic capacity) to buyer pain. • Lead lifecycle & ops: Architect scoring/routing and SLAs with RevOps. Own nurture, recycling, and reactivation. Keep attribution clean (MT + position-based); maintain dashboards for full-funnel health. • Events (digital & IRL): Plan/run webinars, technical workshops, executive roundtables, field dinners, and major conferences (e.g., AWS re:Invent, NVIDIA GTC, KubeCon, Snowflake Summit, ODSC). Orchestrate pre/during/post motions and sourced pipeline. • ABM for enterprise & strategic accounts: 1:few and 1:many plays into top AI-active accounts; use intent signals and tailored value props by industry (e.g., gaming, media, fintech, healthcare, retail). • Partner marketing: Co-market with cloud/SI/ISV/ecosystem partners to extend reach; coordinate joint webinars, solution pages, and field activations; track partner-sourced and co-sell pipeline. • Experimentation: Hypothesis-driven tests on channels, creative, and PLG-style offers (trials, sandboxes, test credits). Scale what works; sunset what doesn’t; document learnings. • Sales enablement: Equip SDRs/AEs with industry-specific talk tracks, calculators, case studies, and sequences that convert technical advantage to business impact. • Budget & vendors: Manage paid budgets and external partners (design, media, event producers, agencies) with ROI discipline.