• Own AI intake and delivery across Sales and CSG: run intake, clarify business problems, define requirements and success metrics, prioritize the backlog, and drive initiatives from 0 to 1 through release and iteration. • Build and ship AI workflows end-to-end: map current-state processes, identify friction, design future-state workflows, and implement agents and automations that teams can rely on day to day. • Partner cross-functionally to unblock delivery: work day-to-day with Sales, Customer Success, Marketing Ops, Business Technology, Data Science, Finance, and Legal to align on requirements, data usage, governance, and measurable outcomes. • Build with guardrails: embed permissioning, auditability, and compliance requirements into workflows from day one. • Launch what you build: drive rollout with lightweight enablement (training assets, office hours, comms), gather feedback, and continuously improve workflows after release. • Own quality and operational rigor: create test plans, run QA, manage prompt and workflow versioning, and maintain documentation, runbooks, and release notes so delivery is safe and repeatable. • Measure impact and iterate: track adoption and performance, validate results in partnership with Ops and Analytics, and continuously improve workflows based on usage and outcomes.