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You will be updated with latest job alerts via emailThe AI platform is responsible for all AI infrastructure across Datadog. Our mission is to
provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI LLMObs and all our AI research.
As an engineering manager for the Feature stores team youll join a new and fast growing team and organization. You will support building and scaling the team define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: Embedding storage Context storage (MCP) and curated dataset storage and availability.
Youll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. Youll also partner with the Applied AI org product engineering teams and with Datadog infrastructure & tooling teams to build out systems from the ground up.
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.
What Youll Do:
Who You Are:
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your skills we encourage you to apply.
Benefits and Growth: (Describe opportunities offered here)
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Required Experience:
Manager
Full Time