Principal Product Managers-Security: Customer Voice and Product Insights

** Overview*
* Security is one of the most important priorities for organizations facing digital threats, regulatory requirements, and complex technology environments. Microsoft Security is committed to helping customers protect their people, data, applications, and infrastructure with integrated solutions.

Within Microsoft Security Engineering, the  
** Customer Value Creation
** organization helps turn the right innovation into customer value, faster. We connect insights from customers, partners, product usage, support, and other sources with the teams making product decisions, helping improve product experiences, accelerate adoption, and make Microsoft Security solutions easier to deploy, use, and support.

We are looking for  
** Principal Product Managers
** to own how post-launch customer feedback for:

1.  
** Microsoft Defender, Microsoft Sentinel, and Microsoft Entra
** reaches Product Engineering and gets resolved. Working within a shared, organization-wide framework for triage, prioritization, delivery to Engineering, and feedback updates, you will lead a cross-functional virtual team that brings product management discipline and deep support expertise to in-market feedback, covering both incident and non-incident items. You will give customer-facing and Product Engineering teams one clear view of status, decisions, and outcomes, and help peer product managers apply the same approach across other security product areas.

2.  
** Microsoft Purview and Microsoft Intune
** in market. You will bring product management and support expertise to lead feedback on generally available capabilities from intake to closure, working with support, customer-facing, partner, and Product Engineering teams across organizations to bring signals together, confirm patterns, prioritize issues, and drive clear decisions. You will engage customers directly when firsthand context will sharpen a decision.

You will bring together post-launch input from support trends, incidents, customer-facing teams, product usage, and research; use AI-assisted analysis to group related feedback, identify patterns, and support prioritization; determine whether an issue is a product gap or a configuration, integration, or operational challenge; and turn the findings into actionable recommendations for Product Engineering. You will drive tradeoff decisions across quality, supportability, and product improvement, using evidence and human judgment so customer priorities are handled consistently across Microsoft Security.

The ideal candidates have already led this type of work in a complex product organization. You have built and operated a customer feedback or product-insights process that multiple teams adopted, used technical and business evidence to shape engineering decisions, and influenced Product and Engineering without direct authority. You bring product judgment, deep understanding of customer support and escalation workflows, technical depth in enterprise security and cloud architectures, and a record of driving qualified feedback from intake through engineering decision and follow-up with customer-facing teams.

Engineering teams trust the quality of your analysis, and peers rely on you to make the feedback process consistent, data-driven, and fair. Success in this role requires clear roles and focus at scale rather than handling every individual request. The specific product areas may change with business needs, but the purpose remains the same: bring post-launch signals together, deliver what matters most to Product Engineering, and close the loop.

** Responsibilities*
* + Run the post-launch feedback process:
Lead a cross-functional virtual team that applies a shared, organization-wide framework for triaging, delivering, and closing the loop on in-market customer feedback, including incident and non-incident items. Help evolve the framework with partner teams across the organization.

+ Build insights dashboards and accelerate decisions:
Define the data model, metrics, and insights dashboards that give Product, Engineering, field, and support leaders a clear view of status, decisions, and impact. Use telemetry, analytics, and AI to combine feedback signals, identify patterns, remove duplicates, and assess impact and urgency. Use automation to route feedback, maintain traceability, and shorten the time from intake to decision.

+ Drive adoption across the team:
Coach peer product managers and partner teams to use the process consistently. Measure adoption and…