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 Senior AI Engineer to design and build AI-powered troubleshooting features for APM workflows. You'll work with LLMs and agentic systems to help users diagnose performance issues. This position requires strong experience in AI and machine learning.
Job Description
Who you are
You have a strong background in AI and machine learning, with experience in designing and implementing AI-driven solutions that enhance user experiences. Your expertise in Python and data analysis allows you to synthesize large volumes of observability data effectively. You thrive in collaborative environments, working closely with cross-functional teams to prototype and iterate on innovative ideas. You understand the importance of correctness and clarity in AI applications, ensuring that the solutions you develop provide real value to users. You are comfortable navigating the complexities of distributed systems and have a keen interest in applying LLMs to solve practical problems. You are eager to shape the future of AI engineering within your team and contribute to a culture of experimentation and learning.
What you'll do
In this role, you will design and build AI-powered troubleshooting features for APM workflows, leveraging your knowledge of LLMs and agentic systems. You will help users diagnose and resolve performance issues by synthesizing large volumes of telemetry data, including traces, metrics, and logs. Your responsibilities will include prototyping, experimenting, and iterating on AI-driven experiences, using evidence and user feedback to guide your decisions. You will collaborate closely with peers to influence the future of AI-powered troubleshooting at Datadog, ensuring that the solutions you create are both useful and reliable. You will also play a key role in shaping how AI engineering is practiced locally, contributing to a hybrid workplace culture that values creativity and collaboration.
What we offer
At Datadog, we value our office culture and the relationships that it fosters. We offer a hybrid work environment that allows you to create a work-life harmony that best fits your needs. You will have the opportunity to work on cutting-edge AI technologies and contribute to meaningful projects that impact our customers. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse teams to drive innovation.
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