Datadog

Research Engineer role focused on building multimodal foundation models for observability and training autonomous agents for SRE incident response. Involves data pipelines, training/evaluation infrastructure, simulation environments, and distributed RL orchestration. Collaborates with researchers to turn ideas into systems and contributes to publications.

Research Engineer role focused on building multimodal foundation models for observability and training autonomous agents for SRE incident response. Involves data pipelines, training/evaluation infrastructure, simulation environments, and distributed RL.

Senior Software Engineer for Datadog's AI Platform, focusing on building scalable tools and infrastructure for model training, serving, and agent development. The role involves designing and implementing next-generation platforms to support GenAI systems, including retrieval-augmented pipelines and autonomous agents, and ensuring low-latency serving for AI features across Datadog products.

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.

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

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.

Manager II, Engineering - Applied AI at Datadog. Leads teams building AI foundations and AI-powered features across the Datadog platform, including training ML models, building agents, and shipping natural language interfaces. The role involves setting technical vision, shipping AI products end-to-end, coaching teams, and driving collaboration. Requires experience leading multiple teams and deep technical expertise in areas like LLMs, agentic systems, and ML infrastructure.

Manager I, Engineering for Datadog's CodeGen team, focusing on building production systems that use AI to understand, generate, and safely modify code. The role involves leading a team, driving technical direction, partnering with cross-functional teams, and ensuring production readiness for AI-enabled code generation features.

Staff AI Engineer focused on building AI-driven workflows within Datadog Notebooks, including agent systems, natural-language data analysis, and assisted graph generation. The role involves technical leadership, full development cycle ownership, and driving product direction for AI-powered features.

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.

Director of Product Management for Applied AI at Datadog, responsible for leading and shaping the roadmap and delivery of AI-driven product capabilities. The role involves owning the vision and strategy for AI products, managing a team of product managers, collaborating with cross-functional teams, identifying new opportunities for AI product innovation, and working closely with customers to understand pain points and deliver tangible value. Requires deep technical knowledge of AI/ML and a track record of successfully leading AI product development and delivery.

Manager II, Engineering for Datadog's AI Platform, focusing on training, serving, and storage. This role involves leading teams, defining roadmaps, and shaping the technical vision for AI infrastructure that supports large-scale training and inference. The position requires experience in building ML/AI platforms, managing managers, and fostering a strong engineering culture.

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.

Manager I, Engineering - Applied AI role at Datadog, leading a team to build natural language interfaces and conversational AI systems. Focuses on LLM-powered query translation, retrieval systems, agentic architectures, and evaluation frameworks for Datadog's platform.

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 AI Engineer role focused on building and shipping LLM and Agent-based features for Datadog's APM product. The role involves end-to-end development, from problem discovery and prototyping to production deployment and scaling, with a strong emphasis on creating autonomous agents that can debug, optimize, and monitor application performance.

Product Manager II for Model Lab, a new experiment tracking platform for teams training and fine-tuning foundational models. The role involves defining product vision, market validation, and driving execution for a new offering integrated into Datadog's observability platform, serving AI research, ML platform, and applied AI teams.

Senior Software Engineer role focused on building AI-assisted tools for Datadog developers, specifically LLM-based agents for tasks like test generation and bug fixing. The role involves working on prompts, evaluations, agent tools, and productionizing these systems, with a focus on shipping products that enhance developer productivity.

Staff Software Engineer focused on building and scaling ML Observability tools for LLMs and generative AI, including drift detection, model evaluation, and behavior tracing. The role involves leading feature development, shaping product direction, and influencing architecture to ensure AI systems are observable, understandable, and reliable in production.

Senior Staff GenAI Engineer focused on agentic workflows within Datadog's APM product. The role involves leading the design, training, evaluation, and deployment of GenAI/ML models at scale, with a strong emphasis on product-mindedness and end-to-end system ownership.

Staff GenAI Engineer focused on agentic workflows within Datadog's APM product. The role involves technical leadership in designing, training, evaluating, and deploying GenAI/ML models at scale, with a strong product mindset and collaboration across teams.

Senior Software Engineer to build AI-assisted product experiences for Datadog customers, focusing on conversational workflows, guided remediations, and codefixes. The role involves backend engineering, product development, and prompt engineering for reliable, production-quality AI systems.

Datadog is looking for a Director of Product Management to lead their AI Observability portfolio. This role involves setting the vision and strategy for AI-driven products, leading a team of product managers, and collaborating with cross-functional teams to deliver AI product solutions. The ideal candidate has proven experience in AI product management, deep technical knowledge of AI technologies, and a track record of successfully leading the development and delivery of AI-driven products.

Product Manager for a new 'Data Agent' product at Datadog, focusing on building a context layer for AI-powered analytics with governance and analysis features. The role involves driving product vision, understanding user needs (data teams and consumers), designing trust and governance mechanisms, and engaging with customers.

Manager for an engineering team building AI-powered developer tooling, specifically focusing on code coverage. The role involves leading a team, setting technical direction, and hands-on contributions to architecture and design. The team will evolve the product to use AI and LLMs to improve test quality and effectiveness, leveraging production data.

Manager for APM Retrieval team at Datadog, focusing on query path for traces and spans search, and leading the evolution of APM MCP Toolset for agentic workflows. This role involves leading a team, defining technical direction, driving cross-functional alignment, and ensuring operational excellence for critical APM services, with a focus on AI-powered product development and exposing APM intelligence.

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.