* Own the product vision, strategy, investment priorities, and roadmap for Copilot plugin evaluation and quality measurement. Establish quality and Responsible AI models, regression protections, and release criteria for groundedness, prompt injection, harmful content, reliability, and performance. Build evaluation into CLI and IDE workflows, CI/CD, and publishing, enabling developers to create evaluation sets, interpret results, identify gaps, and improve plugins. Connect evaluation findings with production telemetry, adoption, support, customer, and business-value signals through a shared scorecard that guides investments. Validate product concepts through AI-assisted prototypes and translate them into architecture, APIs, reusable components, integration contracts, and clear engineering handoffs. Represent the strategy and lead cross-organizational decisions, balancing developer value, platform reuse, responsible delivery, cost, and speed. Define evaluation methods for nondeterministic outputs, multi-step agent and tool-use flows, LLM-as-judge scoring calibrated against human ratings, evaluation datasets, and offline-vs-online gaps. Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. Bachelor's Degree AND 12+ years of experience in product management, service management, program management, software development, or a related field, OR equivalent experience. Experience with AI or LLM evaluation, including nondeterministic outputs, LLM-as-judge methods, human-rating calibration, multi-step agent or tool-use evaluation, dataset development, or offline-to-online measurement. Experience defining product strategy and leading developer platforms, extensibility systems, AI products, or evaluation capabilities from concept through launch and sustained adoption. Demonstrated data-driven product management using evaluation findings, telemetry, customer feedback, adoption, or business-value signals to prioritize investments and measure outcomes. Experience partnering with engineering on platform architecture, APIs, SDKs, extensibility models, data systems, or production services. Hands-on software development or equivalent experience building prototypes and integrations using APIs, SDKs, or AI-assisted development tools. Experience building products for technical audiences and translating developer needs into clear requirements, roadmaps, and measurable outcomes. Experience influencing senior product and engineering stakeholders and leading complex technical initiatives across organizations without direct authority.