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Manager I, Engineering - Reference Tables Access

Datadog · New York, New York, USA · On-site

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About Datadog

See metrics from all of your apps, tools & services in one place with Datadog’s cloud monitoring as a service solution. Try it for free. Backed by Index, CRV and ICONIQ.

About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 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
More about this role

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...

Read the full posting on Datadog's site ↗

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