Most Loved Workplace® Certified JobSenior Product Manager - Journey Monitoring
Assessed by Most Loved Workplace®About the Role
At Datadog, a Most Loved Workplace® certified employer in the Technology space, Observe, Secure, and Optimize Modern Cloud Infrastructure at Scale.
<p>Today, organizations struggle to ensure their most important digital experiences are working as intended because observability data is scattered across products and siloed in logical layers of their technical stack. We're building the system that fixes this: Journey Monitoring, a single centralized hub that brings together Real User Monitoring (RUM), Synthetics, and Product Analytics to bridge the gap between system health and user success. You'd be building a product that establishes a new functional observability layer, enabling teams to auto-discover journeys, track conversions and uptime side-by-side, and trace root causes across their full stack without cross-team handoffs.</p>
<p><strong>What you'll do:</strong></p>
<ul>
<li><strong>Drive the product vision and roadmap</strong> spanning the Journey Monitoring hub, including the journey map, details reports, automatically inferred journeys, and cross-product data federation.</li>
<li><strong>Own the end-to-end product lifecycle</strong> from discovery to launch, working with a cross-functional team of engineers, designers, and other PMs across the Digital Experience Monitoring (DEM) products.</li>
<li><strong>Deeply understand the needs of distinct key personas:</strong> SREs and engineers (who monitor uptime and troubleshoot technical performance), product managers (who track conversion and investigate behavioral drop-offs), and business leaders (who care about outcomes and revenue impact).</li>
<li><strong>Design the functional observability layer</strong> that makes end-to-end flow monitoring intuitive — including the auto-discovery of user journeys from real traffic, Experience Level Objectives (XLOs), and seamless Bits AI integrations for automated root-cause investigations.</li>
<li><strong>Define how behavioral data and technical data come to
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