Product Manager

We are the Windows Cloud organization at Microsoft; our product lines include Windows 365, a cloud service that streams the full Windows experience from the Microsoft cloud to any device. We are now creating Windows 365 for Agents: a secure, governed, cloud-hosted Windows environment purpose-built for AI agents to autonomously execute computer-use tasks on behalf of users and organizations.

Responsibilities

Lead product thinking at the intersection of AI agents, operating systems, and cloud infrastructure; Shape how AI agents perceive, reason about, and act on a Windows desktop; Define the APIs, runtime primitives, safety guardrails, and admin controls that make agentic computing trustworthy at enterprise scale; Work hands-on with frontier models, computer-use agent frameworks, and evaluation harnesses to turn AI capabilities into shipping product; Partner deeply with engineering, applied science, and design; Represent the product to customers, partners, and the developer community; Attend customer and partner meetings; Travel a small amount

Requirements

Bachelor's degree in Computer Science, Engineering, Math, Science, or other technical field; Ability to meet Microsoft, customer and/or government security screening requirements; Pass the Microsoft Cloud background check upon hire/transfer and every two years

Nice to have

1+ years of product or program management experience shipping software products, with hands-on experience building, integrating, or evaluating AI / LLM-powered features; Hands-on experience with LLMs, agent frameworks, or computer-use / browser-use agents (e.g. building prompts, tools, evals, or end-to-end agent workflows); Ability to write code or scripts (Python, TypeScript, or similar) to prototype, run evaluations, and reason about API design; Strong product intuition for agentic experiences, designing for non-deterministic systems, defining success metrics, and shipping safely in the face of model behavior change; Experience with one or more of: operating systems and virtualization, identity and security, enterprise SaaS, developer platforms / SDKs, or AI evaluation and red-teaming; Excellent written communication, able to turn fast-moving AI research into crisp specs, customer-facing narratives, and decision documents for executive review; Comfort with ambiguity, bias for action, and a builder's mindset