Datadog
Enterprise · Observability
- HQ
- New York, US
- Founded
- 2010
- Size
- 7,000+
- Funding
- Public (DDOG)
- Website
- datadoghq.com
- Blog
- datadoghq.com
Products
Enterprise · Observability
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.
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 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 |
| 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 |