Sr Product Manager II, Agentic AI Development

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As a Senior Product Manager, Agentic AI Development within GP, you will build and ship agentic AI solutions that measurably improve day-to-day procurement work. This is a hands‑on development role—you will work directly with users to discover high‑value use cases, design agent experiences, and develop agents that are reliable, usable, and ready to scale.

User Experience (UX) is paramount in this role. Success is defined by whether GP users actually adopt the agents because they are intuitive, reduce friction, and deliver real productivity gains—not just because they exist.

This is not an IT role; however, you will partner closely with IT, Security, and governance teams to ensure solutions align with enterprise guardrails, approved environments, and publishing pathways.

A core expectation is innovation and exploration: you will run rapid experiments, test emerging agentic patterns, and convert the best ideas into production‑ready solutions and reusable building blocks that strengthen GP’s Agentic AI Citizen Developer Framework (an enablement model that empowers business users to build safely while reducing duplication and improving reuse).

• Partner with GP stakeholders to identify meaningful workflow problems and translate them into clear agent behaviors, triggers, and outputs with defined success measures.
• Design, build, and iterate agentic AI solutions using Micron’s approved stack, with emphasis on Microsoft Copilot Studio and complementary automation capabilities such as UiPath and Moveworks, as applicable in approved environments.
• Deliver agents that are ready for scale‑up, including documentation, configuration details, UX notes, known limitations, and clear handoff artifacts for production deployment and lifecycle support.
• Apply engineering discipline even in low‑code contexts: versioning, repeatable builds, structured testing, and continuous improvement based on usage data and feedback.

• Treat UX as a first‑class design constraint: build agent interactions that are intuitive, predictable, and embedded naturally into GP workflows.
• Conduct lightweight user research (interviews, workflow observation, usability testing) and iterate quickly to remove friction and increase adoption.
• Define measurable outcomes (e.g., time saved, cycle time reduction, reduced rework, improved compliance workflow completion) and continuously tune agent behavior to improve results.

• Identify high‑leverage opportunities for agentic AI through structured exploration: observe work, form hypotheses, prototype quickly, and validate impact with real users.
• Run rapid build–test–learn cycles to explore new agent designs, orchestration approaches, and workflow integrations—balancing speed with quality and safety.
• Convert the best experiments into reusable assets (templates, patterns, prompts, connectors/configurations) that accelerate future delivery and reduce duplication.

• Coach and enable GP team members and leaders on practical AI usage—when to use agents, how to structure good use cases, and how to build safely within approved tools and patterns.
• Foster the Agentic AI Citizen Developer Framework by curating reusable patterns, promoting best practices, and helping citizen developers avoid reinventing solutions already built or available.
• Provide hands‑on mentoring sessions (office hours, design reviews, build reviews) to raise overall AI fluency and agent development quality across GP.

• Partner with IT, Security, and governance teams to align development with enterprise controls, data protection expectations, approved connectors, and deployment pathways.
• Contribute to lightweight governance that prevents uncontrolled agent sprawl by…