Padmi
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Microsoft

cloud computing (Azure) · AI and machine learning (Copilot, CoreAI)

Product Manager

Seattle · Onsite$133.8k–$219.2k/yrPosted 5 days ago
ProductUnspecifiedFull TimeH-1B track record
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Building on that foundation, 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. Just as SaaS brought applications to the cloud and Windows 365 brought the operating system to the cloud, we are now bringing the desktop into the agentic era — making Windows the most capable, governed surface for AI agents to do real work. You will define and ship features that let AI agents reliably observe screen state, invoke applications, handle authentication, persist context, and complete multi-step tasks inside Windows 365, while giving IT admins the controls they need to deploy agents safely. You will go deep with prompt evaluation, model behavior analysis, telemetry-driven product iteration, and benchmark design. You will work directly with customers, ISVs, and agent developers to gather requirements, identify failure modes in real workloads, and prioritize the platform investments that unlock new agentic scenarios. You will work as a feature PM to define the vision and value proposition for agent-facing capabilities, write product specs grounded in agent evaluation data, drive feature crews to deliver and measure outcomes, and validate solutions against real agent workloads. You will also work closely with marketing, finance, sales, and the developer ecosystem teams to bring Windows 365 for Agents to market. Embody our Culture and Values Bachelor's Degree AND 2+ years experience in product/service/program management or software development OR equivalent experience. Must have product or program management experience shipping software products, with hands-on experience building, integrating, or evaluating AI / LLM-powered features Hands-on experience with large language models (LLM), 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) well enough to prototype, run evaluations, and reason about API design — this is a builder role, not a purely strategic PM role 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 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 — you would rather prototype an agent loop and look at traces than write a deck about it Product Management IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation.

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