Datadog

About Datadog

The cloud monitoring platform engineers love

Key Highlights

  • Public company (NYSE: DDOG) - strong equity upside
  • 26,000+ enterprise customers including Netflix & Samsung
  • NYC headquarters with offices in Paris, Dublin, Sydney
  • $1.5B raised from Sequoia, IVP, and Index Ventures

Datadog (NYSE: DDOG) is a leading cloud observability platform that provides monitoring and analytics for applications, infrastructure, and logs. Trusted by over 26,000 customers including major companies like Netflix, Samsung, and Airbnb, Datadog is headquartered in New York City. The company went ...

🎁 Benefits

Datadog offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy. Employees also benefit from a learning ...

🌟 Culture

Datadog fosters an engineering-first culture, with 70% of its workforce comprising engineers. The company emphasizes a strong focus on solving complex...

Datadog

Engineering Manager β€’ Lead

Datadog β€’ Madrid

Apply Now β†’

Skills & Technologies

Overview

Datadog is hiring a Lead Engineering Manager for their Data Semantics team to drive product value and build self-service systems. You'll work with data models and AI initiatives in Madrid or Paris.

Job Description

Who you are

You have a strong background in engineering management with experience in building scalable data systems β€” you've successfully led teams that create robust data models and ensure data usability across various platforms. Your expertise in data semantics and telemetry allows you to understand the complexities of connecting diverse data sources into a unified schema. You are skilled in collaborating with product and engineering teams to prioritize high-impact initiatives, ensuring that your team's work aligns with broader company goals.

You possess excellent communication skills, enabling you to articulate technical concepts to non-technical stakeholders β€” you thrive in environments where you can mentor and develop your team, fostering a culture of collaboration and innovation. Your experience with AI-driven projects is a plus, as you understand how to leverage advanced technologies to enhance data exploration and usability.

What you'll do

As the Engineering Manager for the Data Semantics team, you will lead efforts to define and maintain the shared data model that connects vast amounts of telemetry data β€” your role will involve overseeing the development of a semantic layer that ensures data from different sources can be understood and queried consistently. You will work closely with product teams to accelerate feature delivery and improve cross-product experiences, laying the groundwork for advanced capabilities such as intelligent autocomplete and semantic search.

You will be responsible for driving product value while building durable, self-service systems that other teams can depend on β€” this includes prioritizing high-impact initiatives and collaborating with cross-functional teams to ensure successful implementation. Your leadership will be crucial as Datadog scales its operations across new data sources and regions, particularly in the context of AI initiatives.

What we offer

At Datadog, you will be part of a dynamic team that is at the forefront of data intelligence β€” we offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have the chance to work in a collaborative environment where your contributions directly impact the company's success. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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