Datadog
Enterprise · Observability
- HQ
- New York, US
- Founded
- 2010
- Size
- 7,000+
- Funding
- Public (DDOG)
- Website
- datadoghq.com
- Blog
- datadoghq.com
Products
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.
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).
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 Security Engineer - Cloud SIEM (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 (56%), application (14%), 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 (31 roles), France (11 roles), Spain (7 roles), Portugal (6 roles).
Job postings at Datadog most frequently reference: agent orchestration, llm observability, evals, model serving, guardrails.
In the past 30 days, Datadog has posted 13 new AI-related roles. That is a +160% change versus the prior 30 days (5 → 13).
| Title | Stage | AI score |
|---|---|---|
| AI Research Engineer - Datadog AI Research (DAIR) 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. | Post-trainAgent | 9 |
| AI Research Engineer - Datadog AI Research (DAIR) 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. | Post-train |
| 9 |
| AI Research Scientist – Datadog AI Research (DAIR) 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. | Post-trainAgent | 9 |
| AI Research Scientist - Datadog AI Research (DAIR) 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. | Post-trainAgent | 9 |
| Staff AI Engineer - Data Visualization Staff AI Engineer role focused on building AI-powered product experiences, including agents and conversational interfaces, for Datadog's visualization and investigation surfaces. The role emphasizes technical leadership in applying LLM technologies, context/prompt engineering, evaluation frameworks, and ensuring reliability and trustworthiness of AI systems within an enterprise observability platform. | Agent | 8 |
| 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 |
| Engineering Manager l - AI Platform - Evaluation & Annotation Engineering Manager for the AI Platform's Evaluation & Annotation team, focusing on building and scaling the team, defining technical vision, and shaping the roadmap for AI model evaluation, human annotation tooling, and synthetic/AI-generated datasets. The role involves hands-on leadership, code/design reviews, and collaboration with other AI platform and applied AI teams. | Eval Gate | 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 - 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 |
| Manager I, Engineering - AI Platform - Training & Serving 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. | ServeData | 8 |
| Manager II, Engineering - AI Platform Training, Serving and Storage 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. | ServeData | 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 |
| Product Manager II - Model Lab 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. | Data | 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 |
| Senior Security Engineer - Cloud SIEM Senior Security Engineer role focused on Datadog's Cloud SIEM product, developing threat detection content, improving AI-assisted security workflows, and advancing agentic security operations capabilities. The role involves researching attacker techniques, designing AI-powered investigation workflows, and owning the lifecycle of threat detections. | Agent | 7 |
| Senior Security Engineer - Cloud SIEM Senior Security Engineer role focused on Datadog's Cloud SIEM product, developing threat detection content, improving AI-assisted security workflows, and advancing agentic security operations capabilities. The role involves researching attacker techniques, designing AI-powered investigation workflows, and owning the lifecycle of threat detections. | Agent | 7 |
| Senior Software Engineer - Code Gen Senior Software Engineer role focused on building Datadog's cutting-edge coding agent, including its sandbox environment, cloud-hosted agent infrastructure, and product surface. The role emphasizes owning the security of this AI agent and requires significant experience with distributed systems, LLM applications, and secure architecture. | Agent | 7 |
| Senior Product Manager - Search Datadog is seeking a Senior Product Manager for their Search team, focusing on enhancing search capabilities for both human and AI agents. The role involves defining and delivering AI agentic search tools, integrating ranking and recommendation models, and understanding customer search journeys. Experience with search, ranking, or recommendation systems is required, along with a strong technical background and product management experience. | AgentServe | 7 |
| 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 Platform Product Manager - AI SDLC Trusted Throughput Product Manager for AI SDLC Trusted Throughput, focusing on enabling safe and reliable software delivery for AI-native scale within Datadog's Internal Developer Platform. The role involves defining product strategy for evolving SDLC systems to incorporate built-in safety, observability, and correctness guarantees, partnering with engineering, security, and developer platform teams to improve deployment reliability, operational visibility, and governance for both engineers and AI agents. | Agent | 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 |
| Director, Product Management - AI Observability 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. | Ship | 7 |
| Senior Product Manager - Data Agent 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. | Agent | 7 |
| Manager I, Engineering - Code Coverage 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. | Agent | 7 |
| Senior AI Engineer 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. | Agent | 7 |
| Senior Software Engineer (AI) 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. | Agent | 7 |
| Senior Product Manager - Database AI Optimization Senior Product Manager to lead investments in AI optimization for databases, focusing on product development, customer understanding, and launching new monitoring and optimization capabilities. The role involves collaborating with engineering, marketing, and other product teams, and leveraging AI tools for research and evaluation. | ShipEval Gate | 7 |
| Senior Applied Scientist 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. | Agent | 7 |