Manager I, Engineering - Change Experience Platform

Posted An Hour Ago
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New York, NY, USA
Hybrid
187K-240K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
We are building the monitoring and security platform for developers, IT ops teams and business users in the cloud age.
The Role
Lead a small engineering team building internal change-management platforms (UI, CLI, notification/subscription systems, workflows, governance). Set technical direction, partner with infrastructure and product teams, drive adoption and reliability, remain hands-on to unblock work, and run OKR and career/performance processes to align the team with business goals.
Summary Generated by Built In

Manager I, Engineering - Change Experience Platform

The Change Experience Platform team builds the internal experiences and platform capabilities that help Datadogs understand, author, route, and safely manage infrastructure changes. The team owns internal UI and CLI frameworks, change-management user experiences, notification and subscription platforms, and infrastructure governance signals used across Datadog’s engineering organization. Its work sits at the intersection of developer experience, infrastructure operations, product design, and change safety.

We’re looking for a hands-on technical leader to manage and grow a team of engineers working on the systems that shape how Datadog engineers interact with infrastructure change. You will partner closely with infrastructure, developer experience, platform engineering, and product teams to build reusable interfaces, workflows, and safety mechanisms that make complex change processes easier to understand and safer to execute.

This is a high-impact role for someone who enjoys combining product thinking with strong engineering judgment. You will help the team balance framework ownership, platform reliability, internal customer needs, and long-term technical direction across a portfolio that includes UI systems, CLI authoring and publishing, change-management workflows, notification routing, subscriptions, and infrastructure cordon management.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.


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:

  • 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.
  • Bonus points: 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.

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: (Describe opportunities offered here)

  • 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

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

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:
$187,000$240,000 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.

Skills Required

  • Experience managing engineers working on internal platforms, developer tooling, or infrastructure tooling
  • Strong technical judgment across distributed systems, internal tools, APIs, and data models
  • Experience working directly with engineering customers, platform teams, or infrastructure teams to understand workflows
  • Significant experience in backend languages such as Go, Python, or Java
  • Experience with data stores such as PostgreSQL, Cassandra, Redis, or Elasticsearch
  • Frontend or product-surface fluency to guide teams building internal UIs, design systems, or workflow tools
  • Hands-on ability to write code and troubleshoot issues to unblock the team
  • Experience with performance management and career development of engineers
  • Experience running OKR processes and aligning team goals with business needs
  • BS, MS, or PhD in Computer Science, Engineering, or related field, or equivalent professional experience
  • Familiarity with AI development workflows (bonus)

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The Company
HQ: New York, NY
6,500 Employees
Year Founded: 2010

What We Do

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another.

Why Work With Us

At Datadog, we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems, innovate pragmatically, and grow together. We promote from within, provide mentorship and opportunities for career development, and support our colleagues in the process. Best of all? We truly love what we do.

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Datadog Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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