Manager Ii, Engineering - Source Security

Datadog Datadog · Enterprise · New York, NY · Security

Manager to lead a team evaluating source code security using static analysis and LLM-based review systems, focusing on agentic reviewers, secure guardrails, and sandboxing for coding agents. The role involves managing a team, contributing technically, and defining the roadmap for evaluating coding agent output and securing source code.

What you'd actually do

  1. 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.
  2. Partner with our Developer Experience teams on the configuration of our source code management solutions, ensuring secure guardrails are in place by default.
  3. Explore solutions in the coding agent security space such as sandboxing and hook based monitors.
  4. Guide and mentor a team of security and software engineers, emphasizing career development, inclusivity, and high performance.
  5. Take a pragmatic, risk-based approach to complex technical problems and work with your team to produce well-defined and actionable plans.

Skills

Required

  • 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.

Nice to have

  • Passion 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 security into the user experience

What the JD emphasized

  • agentic reviewers
  • coding agents
  • LLM based review systems
  • LLM evaluations
  • coding agent security
  • agentic workflows

Other signals

  • evaluating the security properties of every single commit at Datadog using a combination of static analysis and LLM based review systems
  • growing our existing agentic reviewers
  • maintaining the safety and reliability of our systems while the volume of contributions scales dramatically with our adoption of coding agents
  • securing our source code and CI environments
  • making sure that our security controls scale
  • building security into the user experience