This role pays less than
62%
of similar roles. Most pay
$170,000–$220,500
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$195k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
686 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 666 roles with salary data.
Sr. Product Manager- Windows Engineering Systems will join the Windows Engineering Systems team to lead the Quality Signal AI strategy. This role focuses on transforming software validation and failure diagnosis by building Copilot- and MCP-powered experiences that analyze test artifacts, logs, telemetry, and error signals. The successful candidate will define the vision and roadmap for AI-assisted test failure analysis, aiming to replace manual investigation processes with streamlined workflows that provide actionable root-cause insights. Key responsibilities include establishing success metrics, evaluation frameworks, and quality measures while partnering with Azure DevOps and Copilot platform teams. The role requires expertise in software quality, CI/CD systems, and LLM-based solutions to improve developer productivity within the Windows ecosystem. The core work involves solving complex engineering problems related to large-scale test infrastructure and improving validation signals for thousands of developers.
What does a Product Manager earn?
Median $198800 from 398 postings across 77 companies.
Define and drive the vision, strategy, and roadmap for AI-assisted test failure analysis across Windows Engineering Systems.
Build Copilot and MCP-powered experiences to analyze logs, telemetry, and error signals for root-cause insights.
Transform manual investigation processes into streamlined workflows that integrate data and historical quality signals.
Improve developer productivity by reducing investigation time and minimizing context switching in the engineering loop.
Establish success metrics, AI evaluation frameworks, and quality measures focused on adoption and resolution effectiveness.
Partner with cross-functional teams to deliver trusted AI solutions for validation quality and release confidence.
What we're looking for
Bachelor's Degree and 5+ years of experience in product/service/program management or software development (or equivalent).
Ability to pass the Microsoft Cloud background check.
Bachelor's Degree and 8+ years of experience in product management, program management, software engineering, or a related technical field (preferred).
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