Principal Product Manager

Own product strategy, multi-year roadmap, and execution for a large and complex area of Work Memory in Copilot Chat, connecting customer scenarios to platform investments and measurable outcomes across multiple products and organizations. Define and ship end-to-end AI experiences from the ground up for how Copilot captures, refreshes, retrieves, uses, explains, and allows users to control memory, taking capabilities from early concept and technical exploration through experimentation, launch, and scaled operation. Translate customer needs, usage and feedback signals, support themes, and competitive insights into a differentiated product strategy and durable platform-level

requirements, balancing near-term delivery with long-term architecture and ecosystem leverage. 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, tradeoffs, and recommendations crisply to senior leaders and stakeholders; shape executive decisions and establish effective cross-organization product reviews and operating rhythms. Model AI-forward product leadership through rapid learning, prototyping, data-informed iteration, direct customer engagement, and active mentorship of product managers; raise the quality bar for strategy, execution, and AI evaluation across the broader team. Bachelor's Degree AND 8+ 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 owning a large, complex product scope and delivering end-to-end software products, AI-powered features, or platform capabilities with measurable customer or business impact. Technical fluency in building and evaluating AI products, with the ability to work deeply with engineering and applied science partners from early technical exploration through production launch and iteration. 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. Demonstrated ability to build trusted cross-organization relationships, align and influence senior stakeholders without direct authority, and drive strategy and execution through significant ambiguity and interdependent roadmaps. Technical fluency in building AI/ML platforms or products. Experience taking a zero-to-one AI capability from customer problem definition and technical exploration through experimentation, launch, and scaled operation; experience with memory, personalization, search and retrieval, RAG/grounding, agentic systems, orchestration, knowledge systems, or conversational AI is especially relevant. Experience shipping enterprise AI experiences with privacy, security, compliance, governance, safety, and Responsible AI

requirements. Solid executive presence and storytelling skills, with the ability to simplify complex technical, product, and organizational issues into clear decisions, commitments, and action. A self-directed, resilient, and collaborative working style; curiosity, attention to detail, and a bias toward learning and execution.