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...

Skills & Technologies

Overview

Datadog is hiring a Staff AI Engineer to enhance their MCP Services, enabling intelligent agents to interact with Datadog data. You'll work on advanced evaluation frameworks and agentic workflows. This role requires significant experience in AI and engineering.

Job Description

Who you are

You are an experienced AI Engineer with a strong background in developing agent-friendly tools and systems. You thrive in ambiguous environments and are eager to shape the future of applied AI at Datadog. Your expertise in building and maintaining evaluation frameworks for AI agents is complemented by your collaborative spirit, allowing you to work effectively across teams.

You have a proven track record of designing and implementing systems that enhance agent performance and user interaction. Your analytical skills enable you to investigate and resolve complex issues, improving query parsing and feedback mechanisms. You are passionate about advancing the capabilities of AI tools and enjoy the challenge of evolving technology in a fast-paced environment.

What you'll do

In this role, you will lead efforts to improve Datadog’s public-facing MCP server, enabling intelligent agents to discover and interact with our services. You will design and implement agentic tool surfaces tailored for evaluation and production use across a wide variety of AI agents. Your responsibilities will include building and maintaining advanced evaluation pipelines for measuring agent performance on Datadog workflows, such as investigations, incident triage, and metric queries.

You will collaborate with internal teams to align on shared standards for tool integration and data access, ensuring that the tools you develop meet the needs of both external and internal users. Your work will have a significant impact on how agents interact with Datadog data, driving forward the next generation of agent-tool interaction models.

What we offer

At Datadog, we value our office culture and the relationships built within our teams. We operate as a hybrid workplace, allowing you to create a work-life harmony that best fits you. You will have the opportunity to work in a fast-evolving space with deep ambiguity and high impact, contributing to the future of applied AI at Datadog.

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