Manager ll, Engineering - Datadog Agent SDLC

Datadog, Inc.

New York (NY)

Hybrid

USD 244,000 - 305,000

Full time

4 days ago
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Benefits offered by this job

RSU equity
ESPP
Professional development
MEDDIC training
Mentor program
Inclusive culture
Global benefits

Job summary

Datadog is seeking a Manager II, Engineering for Datadog Agent SDLC to lead the developer experience, build systems, and security across a multi‑language, multi‑platform codebase. You will guide AI coding enablement and scale the SDLC for hundreds of contributors while improving velocity, reliability, and safety.

You will mentor managers and engineers across geographies, shaping patterns for open‑source projects and driving modern build infrastructure in a hybrid workplace.

Qualifications

  • Experience owning software development lifecycle systems and developer infrastructure.
  • First‑hand experience with AI coding tools and flows.
  • Familiar with complex multi‑language development environments, CI/CD, remote build execution and caching; Bazel or similar build systems is a plus.

Responsibilities

  • Lead the engineering teams responsible for the Agent developer experience, build systems, correctness, and performance benchmarking platforms.
  • Own software supply-chain security for a public repository that ships into customer infrastructure - provenance, signing, dependency and contribution review, and the new risks coding agents introduce.
  • Evolve the Agent software development lifecycle to support hundreds of contributors while improving developer velocity, reliability, and security.
  • Drive AI coding enablement across the Agent ecosystem, adapting development workflows and infrastructure as engineers increasingly work alongside coding agents.
  • Guide the evolution of build infrastructure for a complex, multi-language, multi-platform codebase, including the continued adoption and development of modern build systems.
  • Hire, mentor, and develop engineering managers and staff engineers across multiple geographies.

Skills

Software lifecycle ownership
Developer infrastructure
CI/CD
AI coding tools
Multi-language development
Team leadership

Tools

Bazel

Job description

The Datadog Agent is our flagship open-source project and a critical part of how customers experience Datadog, with hundreds of engineers contributing annually across multiple languages and platforms. As Manager II, Engineering for Datadog Agent SDLC, you will lead the systems, tooling, and developer experience that enable engineers to build, test, secure, and ship software that runs in customer environments. You will guide the evolution of our software development lifecycle as AI coding tools reshape how software is developed, while strengthening our approach to software supply-chain security, build infrastructure, correctness, and performance. This is an opportunity to shape engineering practices for the Agent and establish patterns that can influence other open-source projects across Datadog.

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 the engineering teams responsible for the Agent developer experience, build systems, correctness, and performance benchmarking platforms
  • Own software supply-chain security for a public repository that ships into customer infrastructure - provenance, signing, dependency and contribution review, and the new risks coding agents introduce
  • Evolve the Agent software development lifecycle to support hundreds of contributors while improving developer velocity, reliability, and security
  • Drive AI coding enablement across the Agent ecosystem, adapting development workflows and infrastructure as engineers increasingly work alongside coding agents
  • Guide the evolution of build infrastructure for a complex, multi-language, multi-platform codebase, including the continued adoption and development of modern build systems
  • Hire, mentor, and develop engineering managers and staff engineers across multiple geographies
Who You Are:
  • An engineering leader with experience owning software development lifecycle systems and developer infrastructure
  • First‑hand experience with AI coding tools and flows, excited by the opportunities and mindful of challenges created by AI‑assisted software development
  • Curious about the art of proving software correct: deterministic simulation testing, fault injection, property‑based testing, continuous performance benchmarking
  • Familiar with complex multi‑language development environments, CI/CD, remote build execution and caching; experience with Bazel or similar build systems is a plus
  • Experienced leading multiple teams through technical and organizational change while balancing roadmap velocity, reliability, security, and long‑term platform investments
  • A proven track record scaling exceptional engineering teams: hiring, coaching, performance management, and building appropriate team structures globally

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:
  • High income earning opportunities based on self performance
  • New hire stock equity (RSU) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Sales training in MEDDIC and Command of the Message
  • Intra‑departmental mentor and buddy program for in‑house networking
  • An inclusive company culture, opportunity to join our Community Guilds
  • Generous 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:

$244,000 — $305,000 USD

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high‑growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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