Product Management, Copilot AI

Microsoft Corporation • Mountain View, CA • 2h ago

Overview

Microsoft AI is pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. As a small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It's a time of huge change in the AI landscape, and this role will put you right in the heart of it.

We're looking for a Senior AI Product Manager who will drive Copilot model capabilities such as tool-use to ensure that the language models that power Microsoft Copilot deliver high quality responses to our users whilst being grounded, reliable, and cost-efficient. You will work at the nexus of product and research, driving execution in partnership with engineers, language engineers, data scientists and researchers. We're looking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

Develop and execute on LLM platform strategy for Copilot that extend language model's capabilities.

Proto@type approaches by steering language models to drive response quality across a wide range of scenarios.

Identify and prioritize platform, orchestration and language model issues that impact quality, factuality and safety and working with engineers and researchers to find a path to resolution.

Define and build measurable evaluations with relevant datasets to demonstrate quality improvements.

Define, deploy and manage experiments in production that impact language model's tool use, driving measurable improvements in relevance for and engagement with Copilot users.

Partner with product teams to scale tool building and work with inference, agents and orchestration teams to resolve dependencies.

Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.

Qualifications

Required Qualifications

Bachelor's Degree AND 5+ years experience in product management OR equivalent experience.

3+ years of experience leading ambiguous product areas, defining requirements, developing roadmaps, and working with multi-disciplinary teams to execute them.

2+ years of experience building ML-powered or LLM-powered products.

Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI), embeddings, vector databases, and tool use.

Hands-on experience with prompt design, @context window management, and model evaluation.

Preferred Qualifications

2+ years of hands-on experience in building retrieval and/or recommendation systems, driving measurable improvements in relevance, engagement, and conversion through data-driven experimentation. Skilled in translating user intent into product strategy and collaborating closely with engineering and ML teams to deliver scalable, personalized experiences.

1+ years of experience in building LLM applications with familiarity in agent and orchestration frameworks, tool use, LLM evaluations and driving efficiency improvements.

Technical depth in software development, data science and machine learning. While you are not expected to write code on the critical path, you're able to define and execute on zero-to-one proto@types, reason over large amounts of data, and speak the language of the engineers and researchers you work with.

Experience using and applying Large Language Models. LLMs will be your clay - you should know how to prompt engineer them, how to evaluate them, and understand how they are tuned.

Product Management IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.

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