Principal Product Managers, Security: Customer Voice and Product Insights

Microsoft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$142,800–$274,800 / yr
Posted
12 days ago
Freshness
Confirmed live yesterday
Closes
Apr 12, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $209k
$127k $291k
below market most similar roles pay here above market

This role pays more than 62% of similar roles. Most pay $176,450–$230,000 — the blue band above. At the midpoint, this role pays about $209k versus about $203k for comparable roles.

Based on 240 similar postings.

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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 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 651 roles with salary data.

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At a glance

TL;DR · Principal Product Managers, Security: Customer Voice and Product Insights

JOB TITLE: Principal Product Managers-Security: Customer Voice and Product Insights The Principal Product Managers-Security: Customer Voice and Product Insights join the Customer Value Creation organization within Microsoft Security Engineering. In this role, you will lead a cross-functional virtual team to manage post-launch customer feedback for Microsoft Defender, Microsoft Sentinel, Microsoft Entra, Microsoft Purview, and Microsoft Intune. You will build insights dashboards, define data models, and use AI-assisted analysis to group feedback, identify patterns, and turn signals into actionable recommendations for Product Engineering. Key responsibilities include triaging incident and non-incident items, driving tradeoff decisions regarding quality and supportability, and engaging directly with enterprise customers to clarify technical blockers. You must possess deep expertise in cloud architectures, security operations, and data governance while utilizing telemetry, analytics, and automation to streamline the feedback loop.

What you'll do

  • Lead a cross-functional virtual team to triage, prioritize, and resolve in-market customer feedback for security products.
  • Analyze support trends, telemetry, and research using AI-assisted tools to identify patterns and product gaps.
  • Develop data models and insights dashboards to provide leadership with a clear view of product status and impact.
  • Translate complex customer scenarios into actionable requirements and technical tradeoffs for Product Engineering teams.
  • Engage directly with enterprise customers to clarify technical blockers, architectures, and expected product behaviors.
  • Coach peer product managers to ensure consistent adoption of the feedback framework across the organization.
  • Validate and diagnose product signals to distinguish between software gaps and configuration or operational issues.
  • Communicate clear decisions, rationales, and follow-through timelines to field and support teams.

What we're looking for

  • Bachelor's Degree and 8+ years of experience in product/service/program management or software development, or equivalent experience.
  • Ability to pass Microsoft and Microsoft Cloud background checks.
  • Bachelor's Degree and 12+ years of experience in product/service/program management or software development, or equivalent experience (preferred).
  • 4+ years of experience taking a product, feature, or experience to market (preferred).
  • 6+ years of experience improving product metrics or disrupting a market for a product, feature, or experience (preferred).
  • 5+ years of experience with data security, cloud security, or security operations products, including Microsoft Purview, Defender, Sentinel, or Entra (preferred).
  • Experience turning post-launch signals into prioritized requirements and influencing senior stakeholders without direct authority (preferred).
  • Experience building feedback systems, insights dashboards, and using AI-assisted analysis to summarize and categorize feedback (preferred).

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