Staff Product Manager

<p>The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure.</p> <p>You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale.</p> <p>The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value.</p> <p>We are looking to speak to candidates who are based in Dublin for our hybrid working model.</p> <h3>What you'll do</h3> <ul> <li>Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams</li> <li>Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate</li> <li>Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools</li> <li>Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale</li> <li>Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and increase time spent building applications</li> <li>Partner deeply with engineering and design to frame problems, define requirements, make tradeoffs, and deliver high-quality products from discovery through launch and iteration</li> <li>Establish clear success metrics for observability, using product analytics, customer feedback, research, and market signals to evaluate progress and adjust priorities</li> <li>Communicate product direction and decisions clearly to senior leaders and cross-functional stakeholders, including the rationale behind what we will and will not build</li> <li>Raise the bar for product management by mentoring other PMs, improving product practices, and modeling strong judgment, customer empathy, and execution</li> </ul> <h3>What you'll bring</h3> <ul> <li>10+ years of product management experience; including experience leading complex technical products in the data management or analytics space</li> <li>A track record of defining strategy and delivering products used by technical audiences, ideally across database, data infrastructure, or observability</li> <li>Experience translating ambiguous customer and business problems into focused strategies, product narratives, roadmaps, and prioritized execution plans</li> <li>Demonstrated ability to lead through influence across multiple engineering and product teams without relying on formal authority</li> <li>Excellent customer instincts and the ability to move comfortably between user research, product details, business strategy, and executive communication</li> <li>Experience launching products that require behavior change, ecosystem coordination, or adoption across both self-serve and enterprise customers</li> <li>Comfort working with AI-enabled product experiences and evaluating where automation, guidance, and human control create the most value</li> <li>Exceptional written and verbal communication skills, with the ability to make complex technical concepts clear and compelling</li> <li>A bias toward action, disciplined prioritization, and the judgment to make decisions with incomplete information</li> </ul> <h3>Nice to have</h3> <ul> <li>Familiarity with observability tools and platforms such as CloudWatch, Datadog, Grafana, Splunk, OpenTelemetry</li> <li>Experience building or scaling telemetry infrastructure, data pipelines, or platform products used by other engineering teams</li> <li>Familiarity with MongoDB, Atlas, or comparable database products and the operational challenges customers face managing them at scale</li> <li&