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Principal Product Manager, Graph & Reporting

Veeam Software - San Jose, CA, United States - In-office - posted 2026-09-04

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Veeam is seeking a Principal Product Manager to own the Knowledge Graph and reporting/analytics experience within Veeam Data Command Platform (DSPM and AISPM). This is a builder's product role focused on translating complex graph data models into actionable dashboards and reporting that security, privacy, and governance teams rely on daily. You will own the complete product vision and roadmap for the Knowledge Graph as a customer-facing capability, including entities, relationships, and insights customers can explore and trust. You'll partner closely with engineering on underlying data modeling (sources, identities, access, classifications, lineage) and translate technical decisions into concepts customers understand. Key responsibilities include owning the dashboard experience end-to-end with persona-specific landing views (CISO, privacy, data governance, security operations), ensuring every widget answers "what do I do now?" and enables users to assign owners, open tickets, launch remediation, tighten permissions, or apply policies without leaving the view. You'll own the widget framework and library (posture scores, top risks, sensitive-data heatmaps, access exposure, AI usage, trend lines) with consistent filtering, time ranges, and drill-through capabilities. You will define the reporting layer including a report builder with saved/shared views, scheduling, subscriptions, and enterprise export formats (PDF, CSV, API). You'll own audit and evidence packages for regulators and auditors with clear scope, timestamps, and provenance back to the graph. You'll extend reporting coverage to backup and archive estates (Microsoft 365, Entra ID, Salesforce) so posture reflects historical data, not just production snapshots. Additionally, you'll drive trending and posture-over-time reporting with alerting and thresholds, enabling customers to demonstrate risk reduction. You'll set the bar for data quality and freshness, ensuring the product discloses coverage gaps and avoids false confidence. This role works AI-first, using agentic tools to prototype, analyze, and ship faster than traditional PM teams.

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