Engineering Manager, AI Developer Tools & Verification

United States Digital Space LLC

Paris (TX)

On-site

USD 150,000 - 230,000

Full time

6 days ago
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Benefits offered by this job

RSUs
ESPP
Professional development
Mentor program
Community Guilds
Inclusion Talks
Mental health benefits
Global benefits

Job summary

Datadog is seeking an Engineering Manager to lead a team building AI-powered developer tools, shipping with AI agents in production and collaborating on architecture with staff-level engineers. You will own the technical vision and drive delivery for an early-stage product backed by a mature data and engineering platform.

This role blends startup-like experimentation with the scale of a leading observability company, offering a hybrid work model and a clear path to impact across developer

Qualifications

  • Shipping code with AI agents in production.
  • Thrives in early-stage environments with shifting roadmaps.
  • Strong viewpoint on AI coding tools and gaps to close.
  • Deep technical depth in full-stack development (TypeScript/React).
  • Experience building developer-facing tooling with focus on speed and reliability.

Responsibilities

  • Lead and grow a team of engineers building AI-powered developer tools.
  • Own the product's technical direction and architectural decisions.
  • Reduce developer cycle time while improving correctness and trust.
  • Collaborate with Product and Design to shape an early roadmap.
  • Establish planning, delivery, quality, and operational rhythm for services.

Skills

Team leadership
AI developer tools
Full-stack development
TypeScript
React
Systems-level work
Hiring and ramp-up

Tools

Git
CI/CD

Job description

Datadog is seeking an Engineering Manager to lead a team building AI-powered developer tools, shipping with AI agents in production and collaborating on architecture with staff-level engineers. You will own the technical vision and drive delivery for an early-stage product backed by a mature data and engineering platform.

This role blends startup-like experimentation with the scale of a leading observability company, offering a hybrid work model and a clear path to impact across developer

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