Manager I, Engineering - Code Intelligence

<p>Code Intelligence sits at the intersection of agentic engineering and product, running agents against real customer source code in production. This is a chance to own an AI-native team at the center of a business-critical growth area. High visibility, high leverage, and squarely in the fastest-growing part of the AI agent space.<br><br><br><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 employees can create a work-life harmony that best fits them.</em></p> <p>&nbsp;</p> <p><strong>What You'll Do:</strong></p> <ul> <li>Lead and develop an existing engineering team, building trust, setting technical direction, and establishing a high bar for ownership and execution.</li> <li>Own the roadmap and execution across four areas: source code indexing, PR Agentic Reviewers (agents that generate artifacts like metric descriptions on customer pull requests), shift-left work (extending code-writing agents to make direct changes to customer repos), and closed-loop feedback and evaluation systems including LLM-as-judge.</li> <li>Set the team's product strategy independently while partnering day-to-day with product teams company-wide — this team functions as its own product org.</li> <li>Build and operate scaled LLM and agent software in production: LLM APIs, agent frameworks, harness and tool-use layers, prompt and eval tooling, and closed-loop evaluation systems that measure and improve agent output quality.</li> <li>Partner closely with customers and internal stakeholders to deeply understand needs and translate them into technical direction.</li> <li>Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time.</li> </ul> <p>&nbsp;</p> <p><strong>Who You Are:</strong></p> <ul> <li>Experienced engineering manager with a track record of shipping products with direct customer interaction, not just internal stakeholders.</li> <li>Hands-on experience building scaled LLM software: LLM APIs, agent frameworks, prompt and eval tooling, harness and tool-use development, and closed-loop evaluation systems including LLM-as-judge.</li> <li>Strong product and customer mindset — you put solving customer problems first and know how to ship and iterate quickly.</li> <li>Comfortable setting your own product strategy in an ambiguous environment rather than executing a pre-defined roadmap.</li> <li>SDLC and developer tooling background is a plus but not required — strong AI and agent experience is what matters most.</li> <li>Datadog values people from all walks of life. We un