Manager I, Engineering - CodeGen

Datadog • New York City, NY

8d • Hybrid

About The Position

Datadog’s CodeGen team builds systems that use AI to read, understand, generate, and safely change real code — powering automated fixes, CI/PR automation, agentic remediation, and Infrastructure-as-Code workflows. The team ties code understanding to observability so assistants can explain problems and produce safe, auditable code changes. We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. 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 Datadogs can create a work-life harmony that best fits them.

Requirements

• Proven experience in software engineering and applied science, with a focus on engineering LLM-based systems in production
• Demonstrated experience managing small teams of software engineers and/or applied scientists, with a track record of delivering high-quality products
• Strong software development skills and proficiency in Python and Go
• Strong understanding of machine learning theory, statistics, and fundamentals
• Excellent communication abilities to convey complex technical concepts clearly
• A collaborative mindset and proven experience in working in cross-functional teams
• A proactive approach with a passion for continuous learning and innovation

Responsibilities

• Lead a team of engineers responsible for building production systems that enable code understanding and automated code changes — from parsers and telemetry ingestion to model serving, evaluation, and PR automation.
• Drive technical direction and execution: set a clear roadmap, prioritize work, remove blockers, and raise quality and reliability bar for codegen features (safety, correctness, performance).
• Partner with product, applied research, infra/SRE, security, and other engineering teams to ship end-to-end experiences that safely apply model outputs (PRs, CI checks, automated apply flows).
• Build and maintain robust evaluation and monitoring pipelines (offline and online) to measure model quality, drift, and downstream correctness of code changes.
• Own hiring, performance development, 1:1s, and career growth for your reports; grow a high-performing, inclusive team.
• Be accountable for production readiness: on-call expectations, postmortems, SLIs/SLOs, and operational playbooks for codegen services.
• Maintain engineering rigor around data pipelines, model inputs, determinism, reproducibility, and reproducible CI/CD for model + infra changes.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed