Jobs and Careers

Senior Product Manager

United Statesfull_timeVerifiedPosted 30 Jun 2026

💰 $261,000/yr($119,800/yr – $261,000/yr)

About the role

Overview

Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI‑native engineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers. If you’re excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply.

As part of CEAI, the Support Experience Group (SxG) is leading the transformation of Microsoft’s support ecosystem into an AI-first, agent-powered model. We build intelligent platforms and reusable AI agents that diagnose, guide, and resolve customer support issues thereby improving time-to-resolution and enabling engineers to focus on complex, high-value scenarios.

In this role, you will own and deliver a portfolio of AI-powered support experiences and agent-based workflows that improve customer outcomes and deliver on self-help success at a global scale. You won’t just write specs, you’ll prototype, experiment, and drive outcomes in close partnership with engineering, data, design, and service delivery teams. You’ll build intelligent systems that continuously learn and improve through real-world usage, leveraging experimentation and AI-assisted workflows to accelerate iteration in improving customer outcomes in support.

This role offers the opportunity to directly drive the evolution of AI-powered customer support systems at Microsoft. You will work on systems that operate at global scale, deliver measurable customer and business impact, and shape how intelligent agents are applied to real-world support workflows. This is a hands-on, builder-focused role for someone who thrives in ambiguity, thinks like a builder, and leads with data, experimentation, and delivered product outcomes.

If you're excited to build AI-powered systems, lead large-scale transformation, and deliver measurable results, we encourage you to apply.

Responsibilities

Own end-to-end product outcomes from strategy through delivery, ensuring measurable customer and business impact

Define product vision, strategy, and roadmap grounded in customer insights, data, and business priorities

Lead the design and delivery of AI-powered support experiences and agent-based workflows, including autonomous resolution capabilities

Drive product execution across engineering, data, design, and service delivery teams, delivering scalable, high-quality solutions

Lead prioritization, backlog management, and cross-team alignment, focusing teams on the highest-impact work

Use live-site signals, experimentation, and operational KPIs to drive continuous product improvement, owning evaluation metrics and iteration velocity

Rapidly prototype and validate new ideas using AI tools, accelerating learning and reducing time from concept to impact

Drive go-to-market, readiness, and change management, partnering across stakeholder teams to land new agent capabilities and accelerate adoption

Communicate strategy, trade-offs, and results to cross-org stakeholders, building alignment and influence across organizational boundaries

Champion Responsible AI principles, ensuring agent-based experiences are safe, grounded, transparent, and compliant with Microsoft's AI standards, privacy, and security requirements

Qualifications

Required/minimum qualifications

Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience.

Preferred qualifications

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.

2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).