Most Loved Workplace® Certified JobManager I, Engineering - Code Intelligence
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>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>
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<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 auton
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