• Define the multi-year AI/ML product vision and translate ambiguous opportunities into focused bets with clear success metrics (adoption, quality, cost). • Incubate 0→1 and scale 1→N AI features: copilots/agents, document & spreadsheet intelligence, workflow automation, and data intelligence across Workiva surfaces. • Establish responsible AI standards (safety, privacy, evaluations, bias testing, and model/feature gating) in partnership with Security, Legal, and Compliance. • Build an experimentation and evaluation engine (A/B testing, offline evaluations, red-teaming, human-in-the-loop). • Own portfolio outcomes and product economics, including pricing/packaging, usage metering, and inference COGS optimization. • Hire, coach, and develop a high-performing Product Management team; raise the bar for PRDs, roadmaps, and product reviews • Drive cross-functional execution with Engineering/ML and Design; align with Sales, Customer Success, and Alliances on enablement and customer evidence • Represent Workiva externally with customers and partners; gather market insight and translate it into roadmap impact