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 |
|---|---|---|
| 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 - 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. | Serve |
| 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 |
| 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 |