Enterprise · Observability
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).
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 - 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 |
| 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 - 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 |
| Director, Product Management - Infrastructure Monitoring Director of Product Management to lead and shape the roadmap and delivery of Datadog's Infrastructure Monitoring product capabilities in the AI era. This role involves identifying and embedding AI capabilities into the product suite, driving AI-powered innovation, and collaborating with cross-functional teams to deliver AI-driven products and solutions. | Ship | 5 |
| Product Solutions Architect - LLM Observability This role is a Product Solutions Architect focused on Datadog's LLM Observability product. The primary responsibility is to act as a subject matter expert, providing technical and architectural guidance to enterprise customers adopting the product. This involves creating collateral, building proofs of concept, and feeding customer insights back to the product team. The role requires a strong software engineering foundation with experience building and operating LLM-powered applications in production, and familiarity with observability concepts applied to LLMs. | ShipEval Gate | 5 |