Datadog

Research Scientist role focused on training multimodal foundation models and trained agents for cloud observability, involving distributed training, RL, and simulation environments. Collaborates with product and engineering teams to integrate research into Datadog's products.

Senior LLM Engineer to build AI-assisted tools for Datadog developers, focusing on LLM-based agents, generating tests, fixing bugs, and improving performance. The role involves working with users, designers, and PMs to prototype, iterate, and ship these systems, integrating them with Datadog products and following the latest research in LLM prompting and agents.

Staff AI Engineer role focused on building AI-driven workflows and agent systems within Datadog Notebooks, requiring technical leadership, end-to-end development, and a product-minded approach.

Staff AI Engineer role focused on building AI-driven features within Datadog Notebooks, including agent systems, natural-language data analysis, and assisted graph generation. The role involves technical leadership, end-to-end development, and deployment of ML/AI features, with a focus on production scale and reliability.

Staff AI Engineer focused on building AI-driven workflows and agent systems within Datadog Notebooks, leading the design, development, and deployment of ML/AI features from prototyping to production scale.

Staff AI Engineer role focused on building AI-driven workflows and agent systems within Datadog Notebooks, acting as a technical leader for the design, development, and deployment of ML/AI features, from prototyping to production scale.

Datadog is seeking a Senior AI Engineer to build the next generation of AI-driven security capabilities, focusing on their AI agent that leverages LLMs for security analysis and threat investigation. The role involves developing tools, retrieval and planning strategies, guardrails, prompt management, and shipping AI-driven security features.

Manager for the AI Platform Training & Serving team, responsible for building and scaling infrastructure for large-scale training and inference of foundation models. The role involves defining technical vision, roadmap, and leading a team of engineers.

Manager II, Engineering for Datadog's AI Platform, focusing on training, serving, and storage infrastructure. The role involves leading and scaling teams, defining technical roadmaps, and managing managers to support large-scale AI development for Datadog products and research.

Datadog is seeking a Senior Software Engineer to build AI-assisted tools for developers, focusing on LLM-based agents for tasks like test generation and bug fixing. The role involves working on prompts, evals, agent tools, productionizing systems, and integrating them with Datadog products.

Senior Generative AI Engineer to build AI-assisted tools for Datadog developers, focusing on LLM-based agents for tasks like test generation and bug fixing. The role involves prompt engineering, agent tool development, productionization, and integration with existing Datadog products.

Senior AI Engineer to build AI-assisted tools for Datadog developers, focusing on LLM-based agents for tasks like test generation and bug fixing. The role involves working closely with users, prototyping, productionizing systems, and integrating them with Datadog products.

Senior Software Engineer to build and own AI-driven deployment gates that evaluate customer software deployments using CI/CD context and Datadog telemetry, aiming to prevent incidents and ensure safe production releases. The role involves designing progressive automation, foundation for autonomous remediation, and integrating with internal AI teams. Requires experience shipping LLM/agent features to production and owning the end-to-end AI product lifecycle, including evals and rollout.

Senior Software Engineer to build AI-focused developer workflows and tools, including AI agents, prompts, and evals, for Datadog customers. The role involves ideation, prototyping, shipping features, and supporting other teams in productionizing AI workflows.

Senior Software Engineer on the AI Platform team at Datadog, focusing on designing and evolving systems for measuring AI quality at scale. This includes building evaluation pipelines, model performance monitoring, and annotation workflows to assess correctness, safety, bias, and reliability. The role partners with product, ML, and infrastructure teams to define quality standards, integrate evaluation systems with observability, and build human-in-the-loop feedback mechanisms.

This role focuses on building and deploying ML-powered features within Datadog's observability platform, specifically in areas like anomaly detection and error outlier analysis. The scientist will design, research, build, and scale these features, working closely with engineering and product teams, and will be involved in the full lifecycle from exploration to production monitoring.