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Lead / Manager

Manager II, Engineering - Source Security

Confirmed live in the last 24 hours

Datadog

Datadog

New York, New York, USA
Hybrid
Posted April 22, 2026

Job Description

About Datadog

We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at a high scale - trillions of data points per day — providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

The Opportunity

We are looking for a manager to lead the Source Security team within our broader SDLC Security org. This team is responsible for evaluating the security properties of every single commit at Datadog using a combination of static analysis and LLM based review systems, as well as the governance of our source code and third party dependency ecosystem. You will own the roadmap for growing our existing agentic reviewers (you can read more about this work here and here), working to maintain the safety and reliability of our systems while the volume of contributions scales dramatically with our adoption of coding agents. You’ll partner with our developer experience organizations on securing our source code and CI environments, and our product teams on making sure that our security controls scale and that the best practices we develop internally are reflected for our customers as well.

You’ll join at an ideal time to make a big impact as the need for robust supply chain security is higher than it’s ever been. Datadog as a platform is growing fast and is used very widely, and the continued and exciting expansion of our product portfolio requires agile thinkers with a deep grounding in security fundamentals.

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 small team, working as a hands on technical contributor while building out the roadmap for evaluating the safety of coding agent output using a combination of static analysis and LLM evaluations.
  • Partner with our Developer Experience teams on the configuration of our source code management solutions, ensuring secure guardrails are in place by default.
  • Explore solutions in the coding agent security space such as sandboxing and hook based monitors.
  • Guide and mentor a team of security and software engineers, emphasizing career development, inclusivity, and high performance.
  • Take a pragmatic, risk-based approach to complex technical problems and work with your team to produce well-defined and actionable plans.
  • Balance your time between management and hands-on technical work.
  • Participate in Datadog’s oncall and incident response efforts.
  • Have a direct impact on users and the overall trust of our platform.

Who You Are:

  • Experienced managing an engineering team distributed across multiple timezones.
  • Fluent in one or more modern coding languages (Python, Go, JavaScript, etc.)
  • Familiar with continuous security scanning and fine-tuning SAST rules and methodology, as well as AI based coding tools such as Claude, Codex, and Cursor
  • Familiar with Github, Gitlab, or other modern source code management and CI solutions
  • You are able to work closely with engineering and DevOps teams to integrate security seamlessly into the development process.
  • An excellent communicator and collaborator, able to work effectively through complex technical problems with a diverse group of stakeholders.
  • Comfortable working in a fast paced, high growth environment, and able to adapt strategies and solutions in response to emerging challenges and opportunities.

Bonus Points:

  • Passionate about building products that engineers love and believe in the true outcome of DevSecOps
  • Familiar with formal verification, fuzzing, or code correctness methodologies
  • Experience productionizing LLM based or agentic workflows
  • Familiar with product workflows, and building se
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