Manager I, Engineering - Code Intelligence
About The Position
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.
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.
Nice To Haves
- SDLC and developer tooling background is a plus but not required — strong AI and agent experience is what matters most.
Responsibilities
- 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.
Benefits
- 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
- healthcare
- dental
- parental planning
- mental health benefits
- a 401(k) plan and match
- paid time off
- fitness reimbursements
- a discounted employee stock purchase plan
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
