Datadog
Enterprise · Observability
- HQ
- New York, US
- Founded
- 2010
- Size
- 7,000+
- Funding
- Public (DDOG)
- Website
- datadoghq.com
- Blog
- datadoghq.com
Products
Currently tracking 35 active AI roles, with 87 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $155k–$385k (avg $242k).
Datadog has 43 active AI-related job listings. The majority of these roles, 58%, are focused on agents. Engineering is the dominant function, with a significant number of roles also in Product and Research. The company is actively hiring in the United States and France. Frequent tech tags include agent orchestration, evals, and model serving, suggesting a focus on building and deploying AI agents.
Enterprise · Observability
Datadog currently has 43 active AI-related roles in our index. The most common open titles are: AI Research Engineer - Datadog AI Research (DAIR) (2), Senior Software Engineer (AI) (2), AI Research Scientist - Datadog AI Research (DAIR), AI Research Scientist – Datadog AI Research (DAIR), Director, Product Management - AI Observability. Most positions are in Engineering and Product.
Datadog's active AI hiring is concentrated in: agents (51%), application (16%), evaluation (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Datadog is hiring AI talent in: United States (29 roles), France (13 roles), Spain (9 roles), Portugal (8 roles).
Job postings at Datadog most frequently reference: agent orchestration, evals, llm observability, model serving, inference infra.
In the past 30 days, Datadog has posted 9 new AI-related roles. That is a +80% change versus the prior 30 days (5 → 9).
| Title | Stage | AI score |
|---|---|---|
| Staff Applied Scientist - Dashboards Staff Applied Scientist focused on defining and guaranteeing the quality of an AI system (Dashboards product) at scale. This involves owning the evaluation strategy, building eval datasets and regression harnesses, and driving improvements in retrieval relevance and tool-selection accuracy. The role requires leadership in ML/GenAI initiatives and significant experience in evaluation and measurement of ML systems. | Eval GateAgent | 8 |
| Staff GenAI Engineer - Application Performance Monitoring (APM) Staff GenAI Engineer role focused on building and deploying agentic workflows for Datadog's APM product. The role involves technical leadership in designing, training, evaluating, and scaling GenAI/ML models, with a strong emphasis on product-mindedness and end-to-end initiative ownership. |
| Agent |
| 8 |
| Staff Applied Scientist - Agentic Interfaces Staff Applied Scientist focused on defining and building the evaluation systems for Datadog's AI agent integrations. This role involves setting metrics, creating eval datasets and harnesses, and conducting applied research on agent-data interaction, tool selection, and multi-turn evaluation. The goal is to ensure demonstrable improvements in agent performance and quality. | Eval GateAgent | 8 |
| Manager II, Engineering - Applied AI (NorAm) 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. | ShipAgent | 8 |
| Manager I, Engineering - CodeGen 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. | ShipServe | 8 |
| Staff AI Engineer - Notebooks 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. | AgentServe | 8 |
| Manager I, Engineering - AI Platform - Annotation & Evaluation Manager for an AI Platform team focused on Annotation & Evaluation. Responsibilities include managing engineers, defining technical roadmap, tailoring data pipelines, and creating team culture. The role involves hands-on work like code and design reviews. Experience in leading software engineering teams and building high-performing teams is required. The role also requires experience with AI coding tools and validating AI-generated output. Bonus for pushing AI boundaries in software engineering. | Eval GateData | 8 |
| Manager II, Engineering - AI Platform Training, Serving and Storage (NorAm) 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. | ServeData | 8 |
| Manager I, Engineering - Applied AI - Natural Language & Conversational Interfaces 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. | Agent | 8 |
| Senior AI Engineer - APM Experiences 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. | Agent | 8 |
| Senior Software Engineer - AI Code Gen - Agent Engineer 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. | Agent | 8 |
| Staff Software Engineer - ML Observability 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. | Eval GateAgent | 8 |
| Senior Staff GenAI Engineer - Application Performance Monitoring (APM) 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. | Agent | 8 |
| Staff GenAI Engineer - Application Performance Monitoring (APM) 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. | Agent | 8 |
| Distinguished Architect, AI Distinguished Architect for Datadog's Product Solutions Architecture team, focusing on serving AI/LLM companies. This role acts as a technical multiplier, bridging customer infrastructure needs with Datadog's roadmap, particularly for training and deploying foundational models at scale. Responsibilities include thought leadership, strategic advisory, architecture reviews, identifying technology shifts, and collaborating with internal teams. Requires deep technical expertise in distributed systems, AI/LLM ecosystem, and observability, with strong stakeholder management and presentation skills. | Serve | 7 |
| Engineering Manager I, Threat Detection Engineering Manager for Threat Detection at Datadog, leading a team focused on AI-accelerated threat detection. The role involves strategy, roadmap, and execution for AI-driven detections, building and mentoring engineers, and partnering with security and AI teams. Key responsibilities include developing detection-authoring agents, the detection platform, and evaluation infrastructure, while also shipping direct detections. The role requires experience in security operations, building automation systems, and leading teams, with a focus on production quality and AI/ML systems lifecycle. | AgentEval Gate | 7 |
| Senior Software Engineer - Bits AI SRE 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. | Agent | 7 |
| Manager II, Engineering - Source Security Manager to lead a team evaluating source code security using static analysis and LLM-based review systems, focusing on agentic reviewers, secure guardrails, and sandboxing for coding agents. The role involves managing a team, contributing technically, and defining the roadmap for evaluating coding agent output and securing source code. | AgentEval Gate | 7 |
| Staff Applied Scientist - Applied AI (NorAm) Datadog is seeking a Staff Applied Scientist to join their Applied AI team. This role will focus on developing and integrating AI-powered features into Datadog's observability and security platform, providing unified visibility and enabling faster issue resolution. The position is based in New York. | Ship | 7 |
| Manager I, Engineering - APM Retrieval 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. | Agent | 7 |