Principal Product Manager- Copilot

Define the vision and strategy for Agentic Engineering across the end-to-end software development lifecycle. Identify the highest-value opportunities for AI agents to improve how engineers design, build, test, deploy, monitor, and operate software. Develop a product strategy and roadmap for moving from AI-assisted development toward increasingly agent-native engineering workflows. Partner with engineering teams to create reusable agentic capabilities, platforms, and patterns that can scale across a large engineering organization. Establish success metrics that measure improvements in engineering productivity, quality, reliability, cycle time, and developer experience. Drive adoption of new agentic engineering practices and help teams evolve the way they build and operate software. Bring together related investments across teams into a cohesive strategy while enabling teams to innovate within their domains. Influence senior product and engineering leaders and drive alignment across organizational boundaries. Stay at the forefront of advances in AI agents and software engineering and translate emerging capabilities into meaningful engineering transformation. 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 in product management, software engineering, technical program management, or equivalent roles delivering technically complex products or platforms. Demonstrated ability to define product vision and strategy in ambiguous and rapidly evolving areas. Solid understanding of software development practices, developer workflows, and the software development lifecycle. Experience working with AI, developer platforms, engineering systems, or large-scale cloud services. Demonstrated ability to lead complex initiatives across multiple engineering teams and organizational boundaries. Solid analytical skills with experience defining measurable product and business outcomes. Excellent written and verbal communication skills with the ability to influence both technical teams and senior leaders. Experience with generative AI, AI agents, AI-powered developer tools, or developer productivity platforms. Experience building platforms, tools, or workflows used by large engineering organizations. Understanding of AI evaluation, agent orchestration, human-in-the-loop systems, or autonomous workflows. Experience with large-scale distributed systems, DevOps, reliability, or production engineering.