Manager I, Engineering - Change Experience Platform

Datadog is the leading observability and security platform for the AI era. The Change Experience Platform team builds internal experiences and platform capabilities to help Datadog engineers understand, author, route, and safely manage infrastructure changes. We are looking for a hands-on technical leader to manage and grow a team of engineers. You will partner with infrastructure, developer experience, platform engineering, and product teams to build reusable interfaces, workflows, and safety mechanisms.

• 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.

• You have experience managing engineers working on internal platforms, developer tooling, infrastructure tooling, product platforms, or similar internally focused systems.
• You have strong technical judgment across distributed systems, internal tools, APIs, data models, and user-facing engineering workflows.
• You understand that internal platforms succeed through adoption, trust, reliability, and clear user experience, not just technical correctness.
• You have experience working directly with engineering customers, platform teams, or infrastructure teams to understand their workflows and improve how they get work done.
• You have 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.
• You have enough frontend or product-surface fluency to guide teams building internal UIs, design systems, workflow tools, or other user-facing engineering experiences.

• You’re familiar with AI development workflows and the tools that facilitate them.
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience.

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

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: $192,000—$240,000 USD