Senior Product Manager - Data Agent

<p>Today, everyone from PMs to Sales to SREs uses AI to query their business data - but every answer is a one-off with no governance, no consistency, and no visibility for data teams. We're building the system that fixes this: a context layer that learns from existing data tools driving high quality and consistent answers, an AI-powered query experience, full governance for data teams, and rich analysis surfaces to present and share the results. You'd be building a zero to one product of what we believe will become a major new product line for Datadog.</p> <p><em>At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.</em></p> <h4><strong>What you'll do</strong></h4> <ul> <li>Drive the product vision and roadmap spanning the Data agent experience, the semantic/context layer, governance console, chat experience and analysis surfaces (dashboards, notebooks, sheets)</li> <li>Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs</li> <li>Deeply understand the needs of two key personas: data teams (who govern and curate) and data consumers (PMs, engineers, SREs, executives who ask questions)</li> <li>Design the context and governance layer that makes AI-powered analytics trustworthy - including auto-generation from existing BI tools, eval frameworks, confidence scoring, and self-improvement loops</li> <li>Define how observability data and business data come together to serve unique use cases</li> <li>Engage directly with early customers and internal dogfooding users to iterate on accuracy, usability, and trust</li> <li>Independently research the competitive landscape across legacy BI vendors, warehouse-native analytics, AI-first startups, and AI labs</li> <li>Work on the product pricing</li> <li>Work with GTM teams to define positioning, packaging, and the path to displacing entrenched tools</li> </ul> <h4><strong>Who you are</strong></h4> <ul> <li>5+ years of experience in B2B SaaS Product Management, with at least some of it spent on data-intensive or analytics products</li> <li>You have domain knowledge of business intelligence, data visualization, semantic layers, data warehouses and the modern data stack.</li> <li>Strong analytical skills - you can write SQL, interpret complex data, and use data to drive product decisions</li> <li>Experience with AI/LLM-powered products is a strong plus - you understand prompt engineering, evals, and the unique UX challenges of non-deterministic systems</li> <li>You are