Manager I, Engineering - Code Intelligence

About the role

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.

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.

What You'll Do

• Lead and develop an existing engineering team, building trust, setting technical direction, and establishing a high bar for ownership and execution.
• 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.
• 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.
• 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.
• Partner closely with customers and internal stakeholders to deeply understand needs and translate them into technical direction.
• Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time.

Who You Are

• 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. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

• Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
• #LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is

$192,000—$240,000 USD