Manager I, Engineering - Client SDKs (Mobile & Browser)
Datadog
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Preparing for this interview
Interviews for engineering roles keep coming back to Python, AWS, Observability, System design. Practise those questions before you sit with Datadog.
Questions you are likely to be asked
- Why do you want to join Datadog?
- What is your experience with Observability? Tell me one thing you learned the hard way.
- Tell me about an app release that went wrong. What happened next?
- How do you handle offline use and poor networks in an app?
- How do you structure an app so new features do not break old ones?
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Practise the Manager I, Engineering - Client SDKs (Mobile & Browser) at Datadog interview free →Datadog's client SDKs run inside our customers' mobile apps and websites, and every Datadog client-side product depends on them, including Real User Monitoring, Session Replay, Product Analytics, and Feature Flags. We maintain 11 open source SDKs across Browser, iOS, Android, React Native, Flutter, Kotlin Multiplatform, Unity, and more.
As the Engineering Manager for Client SDKs, you'll build and lead the team that makes it easy for any team at Datadog to ship into those SDKs safely: fast CI, predictable releases, a shared spec across SDKs, and tooling that lets engineers and coding agents contribute without waiting on a review queue. It's a rare chance to own a developer platform that ships in public, at a scale where small decisions reach a lot of customers, and to shape how Datadog builds client-side products in the AI-native era. Both the team and its scope are expanding, so there's plenty of room to grow.
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:
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Build, lead, and grow a team of mostly senior software engineers, hiring well and helping senior and staff engineers grow their impact and careers
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Own CI and test infrastructure across the SDK repositories: set health targets, detect and quarantine flaky tests, and provide test frameworks that engineers and coding agents can run locally
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Define release cadences and help customers adopt updates, managing breaking changes in SDKs that can't be rolled back once they're installed in customers' apps
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Keep SDKs consistent through a shared specification, and remove the review bottleneck so product teams can ship SDK changes without waiting on a small group of experts
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Partner with product teams such as Session Replay, Product Analytics, and Feature Flags, along with our SDK guilds and server SDK teams, to guide SDK changes from design to release
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Build feature sets for new product capabilities and bring that to all partner teams
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Bring AI coding agents into how the team builds, tests, and ships, and take part in business-hours release, hotfix, and support escalation duty (no 24/7 pager)
Who You Are:
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Experienced in managing a team of software engineers, including senior engineers
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Someone who has shipped and maintained SDKs, libraries, or developer tools that other engineers depend on
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Strong in at least one of Mobile Platforms, including iOS (Swift), Android (Kotlin) , or Browser (TypeScript), and able to hold a technical conversation about applications development.
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Knowledgeable in release engineering, CI/CD, versioning, and backwards compatibility
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Able to influence other teams without formal authority and build alignment across product teams
Nice to Have:
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Open source maintainer experience, especially working with outside contributors
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Experience with observability, crash reporting, analytics, or OpenTelemetry SDKs
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Familiarity with cross-platform frameworks such as React Native, Flutter, or Kotlin Multiplatform
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Experience leading a platform or developer experience team
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Experience using AI coding agents in your team's workflow
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:
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New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
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Continuous professional development, product training, and career pathing
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Intradepartmental mentor and buddy program for in-house networking
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An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
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Access to Inclusion Talks, our internal panel discussions
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Free, global mental health benefits for employees and dependents age 6+
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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.
#LI-Hybrid
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.
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