Own product strategy, roadmap, and execution for key Work Memory capabilities in Copilot Chat, connecting customer scenarios to platform investments and measurable outcomes. Define end-to-end user experiences for how Copilot captures, refreshes, retrieves, uses, explains, and allows users to control memory across relevant Copilot Chat scenarios. Translate customer needs, usage and feedback signals, support themes, and competitive insights into durable platform-level requirements rather than one-off feature solutions. Lead the product quality and evaluation strategy for your area, including representative scenario sets, rubrics, offline evaluations, synthetic or controlled test environments, online metrics, experiment design, regression protection, and failure analysis. Partner closely with engineering and applied science on technical choices across generation, storage, retrieval, freshness, context budgeting, latency, cost, and model behavior; make clear tradeoffs and drive decisions. Establish success measures spanning relevance, freshness, personalization utility, task completion, engagement, customer satisfaction, trust, safety, performance, and operational health. Drive trustworthy product design through transparency, citations or explanations where appropriate, user controls, lifecycle clarity, auditability, privacy, Responsible AI, and enterprise compliance requirements. Communicate strategy, quality insights, risks, and recommendations crisply to senior leaders and stakeholders; run effective product reviews and decision-making rhythms. Model AI-forward product management through rapid learning, prototyping, data-informed iteration, direct customer engagement, and mentorship of other product managers. Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: Experience defining and delivering end-to-end software products, features, or platform capabilities with measurable customer or business impact. Technical fluency in evaluating AI products with the ability to work deeply with engineering and applied science partners. Experience using data, telemetry, experimentation, product evaluations, or structured quality methods to make product decisions and improve outcomes. Demonstrated product judgment across customer scenarios, user journeys, interaction design, prioritization, and platform tradeoffs. Experience translating customer feedback and market or competitive signals into clear product requirements and roadmaps. Ability to align and influence stakeholders across organizational boundaries, communicate clearly with senior audiences, and drive execution through ambiguity. Technical fluency in building AI/ML platforms or products Experience with memory, personalization, search and retrieval, RAG/grounding, agentic systems, orchestration, knowledge systems, or conversational AI. Experience shipping enterprise AI experiences with strong privacy, security, compliance, governance, safety, and Responsible AI requirements. Solid executive presence and storytelling skills, with the ability to simplify complex technical and product issues into clear decisions and action. A self-directed, resilient, and collaborative working style; curiosity, attention to detail, and a bias toward learning and execution.