Manager I, Engineering - CodeGen

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified last checked Jun 13, 2026

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Manager I, Engineering - CodeGen New York, New York, USA 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. What You'll Do: 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

Read the full description at careers.datadoghq.com. FewerJobs shows a source-linked preview and links to the original posting.