Manager ll, Engineering - Datadog Agent SDLC

Datadog
Boston +1 more
Hybrid

Who this role is best for

Best suited to experienced engineering leaders with expertise in AI coding tools and multi-language build systems working in open-source and observability domains.

Best fit for

  • Experienced engineering leaders who have shaped software development lifecycle systems across open-source projects
    — “lead the engineering teams responsible for the Agent developer experience, build systems, correctness, and performance benchmarking platforms”
  • Candidates familiar with AI coding tools and excited about adapting workflows for AI-assisted development
    — “First-hand experience with AI coding tools and flows, excited by the opportunities and mindful of challenges created by AI-assisted software development”
  • Individuals with a track record of scaling engineering teams globally and managing technical change
    — “Experienced leading multiple teams through technical and organizational change while balancing roadmap velocity, reliability, security, and long-term platform investments”

Things to consider

  • The role involves managing teams across multiple geographies, which may require coordination across time zones
    — “Hire, mentor, and develop engineering managers and staff engineers across multiple geographies”
  • Candidates must be prepared to address new risks introduced by AI coding tools in a public repository
    — “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”

How to stand out

  • Highlight experience leading software supply-chain security and managing public repositories in your resume and interviews
    — “Own software supply-chain security for a public repository that ships into customer infrastructure”
  • Demonstrate leadership in adapting development workflows to incorporate AI coding tools
    — “Drive AI coding enablement across the Agent ecosystem, adapting development workflows and infrastructure”
  • Showcase your ability to guide technical and organizational change in complex, multi-language environments
    — “Experienced leading multiple teams through technical and organizational change”
  • Emphasize your background in build systems like Bazel and managing CI/CD pipelines for large codebases
    — “Familiar with complex multi-language development environments, CI/CD, remote build execution and caching; experience with Bazel or similar build systems is a plus”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Led the evolution of the Agent software development lifecycle
  • Improved developer velocity and security
Typical background
Experience in leading engineering teamsBackground in software development lifecycle systems

Skills & requirements

Required

Software Development LifecycleSoftware Supply-chain SecurityBuild SystemsAI Coding ToolsCI/CD

Preferred

BazelDevOps

About the role

Original posting from Datadog

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.

Source: Datadog careers

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