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Datadog

Manager I, Engineering - Change Experience Platform

Hands-on engineering manager to lead a team building internal UI/CLI frameworks, change-management workflows, notifications, and infrastructure governance tools for Datadog engineers. Requires backend experience, platform/tooling background, and people-management skills.

187k – 240kNew York, NYEngineering ManagementHybrid5+ YOE
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About the role

What You’ll Do

  • Lead and grow a small team of engineers responsible for internal platforms and product experiences used across Datadog engineering.
  • Help define what “good” looks like for internal developer-facing platforms, including usability, reliability, documentation, adoption, and supportability.
  • Set technical direction for systems that span UI frameworks, CLI tooling, notification platforms, subscription models, and infrastructure governance workflows.
  • Stay in touch with your team’s code, and roll up your sleeves when needed to unblock your team by writing code or troubleshooting issues.
  • Lead and cultivate a team of engineers with a diverse skill-set, including performance management and career development.
  • Own and drive relationships with engineering teams and major stakeholders helping to prioritize impact towards the team’s north star.
  • Run OKR processes to define and align the team's quarterly goals with the needs of the business and platform.

Who You Are

  • Experience managing engineers working on internal platforms, developer tooling, infrastructure tooling, product platforms, or similar internally focused systems.
  • Strong technical judgment across distributed systems, internal tools, APIs, data models, and user-facing engineering workflows.
  • Understand that internal platforms succeed through adoption, trust, reliability, and clear user experience, not just technical correctness.
  • Experience working directly with engineering customers, platform teams, or infrastructure teams to understand their workflows and improve how they get work done.
  • Significant experience in one or more backend languages, such as Go, Python, Java, or similar; and with different types of data stores, such as PostgreSQL, Cassandra, Redis or ElasticSearch.
  • Enough frontend or product-surface fluency to guide teams building internal UIs, design systems, workflow tools, or other user-facing engineering experiences.
  • Bonus: Familiar with AI development workflows and the tools that facilitate them.
  • BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience.

Skills

GoPythonJavaPostgresCassandraRedisElasticsearchDistributed SystemsAPIsData ModelsFrontend

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