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Salary: USD 192,000 - 240,000 / annual
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 with high visibility and leverage in the fastest-growing part of the AI agent space.
You will lead and develop an existing engineering team, building trust, setting technical direction, and establishing a high bar for ownership and execution. You 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.
You will 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. You'll 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.
You will partner closely with customers and internal stakeholders to deeply understand needs and translate them into technical direction. You'll drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time.
Datadog operates as a hybrid workplace to ensure employees can create a work-life harmony that best fits them.
REQUIREMENTS:
- Experienced engineering manager with a track record of shipping products with direct customer interaction, not just internal stakeholders
- 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
- Strong product and customer mindset—you put solving customer problems first and know how to ship and iterate quickly
- Comfortable setting your own product strategy in an ambiguous environment rather than executing a pre-defined roadmap
- SDLC and developer tooling background is a plus but not required—strong AI and agent experience is what matters most
- Datadog values people from all walks of life and understands not everyone will meet all qualifications on day one; if you're passionate about technology and want to grow your skills, you're encouraged to apply
