Define and evangelize the long-term vision, strategy, investment framework, and roadmap for agent, autopilot, and workflow authoring and lifecycle experiences across divisional boundaries. Synthesize customer research, telemetry, market intelligence, competitive analysis, and AI-assisted insights to identify unmet needs, validate product-market fit, prioritize opportunities, and guide resource tradeoffs. Create a coherent progression across information-worker, maker, and developer entry points so solutions can move from lightweight creation to trusted, governed, enterprise-scale deployment without fragmentation or rework. Drive shared lifecycle capabilities across Copilot, Copilot Studio, Agent Builder, Power Automate, and partner surfaces. This includes specification, validation, publishing, distribution, evaluation, observability, versioning, governance, operations, and supportability. Lead difficult product and architecture decisions with senior stakeholders, balancing customer value, business impact, technical feasibility, quality, security, privacy, responsible AI, compliance, reliability, cost, and time to market. Define OKRs, AI quality measures, experimentation and learning loops; use evidence to improve adoption, engagement, retention, reliability, and business outcomes, and to change course or deprecate capabilities when warranted. Bachelor's Degree AND 10+ years experience in product/service/program management or software development Bachelor's Degree AND 15+ years experience in product/service/program management or software development OR equivalent experience. 6+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 8+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 8+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). Role-specific experience valued: agentic AI and AI prototyping; workflow automation; low-code/no-code and developer authoring; product lifecycle and specifications; evaluation, experimentation, observability, governance, identity, security, and enterprise platform operations; executive storytelling, negotiation, product evangelism, and cross-functional leadership.