Manager I, Engineering - Reference Tables Access

The Reference Tables Access team owns the UI, MCP, APIs, and control plane that customers use to bring external data into Datadog. Reference Tables lets them use their own reference data to enrich and filter observability data without leaving the platform. The team also owns the table identity, metadata, permissions, quotas, validation, and lifecycle services behind these experiences.

Beyond the current product, the team is developing a consistent tabular abstraction that product teams can use without needing to manage the details of the underlying storage systems. This abstraction supports use cases from log enrichment and security to emerging analytical workflows built on Datadog’s internal Data Lake (ADP Lakehouse).

We’re looking for a hands-on technical leader to guide the team’s roadmap and develop these capabilities into a reliable platform. This role will shape how Datadog teams manage and build product experiences on top of tabular data.

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.

• →Lead a team of engineers, ensuring effective project execution.
• →Partner with product managers and staff engineers to define and drive the team’s technical direction.
• →Collaborate with cross-functional leaders to shape the team’s roadmap and contribute to the broader organization’s technical direction.
• →Establish and uphold engineering best practices, ensuring consistency and quality.
• →Mentor and coach engineers, supporting their career growth and development.
• →Foster an inclusive and collaborative team culture.

• Technically adept, with a strong foundation in large-scale distributed systems and/or customer-facing platform development. You can dive deep into technical details in code and designs when needed.
• A problem solver at heart, eager to take on complex technical challenges with confidence and experience.
• An engineering leader, skilled in prioritization, escalation, and clear communication, helping teams make progress through ambiguity.
• Experienced with mission-critical systems and high-stakes operations, including supporting infrastructure that demands high reliability and rapid incident response through a 24x7 on-call rotation.

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. 

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.

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. 

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