Enterprise · Observability
Currently tracking 37 active AI roles, down 35% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $155k–$385k (avg $244k).
| 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 - Applied AI Director of Product Management for Applied AI at Datadog, responsible for leading and shaping the roadmap and delivery of AI-driven product capabilities. The role involves owning the vision and strategy for AI products, managing a team of product managers, collaborating with cross-functional teams, identifying new opportunities for AI product innovation, and working closely with customers to understand pain points and deliver tangible value. Requires deep technical knowledge of AI/ML and a track record of successfully leading AI product development and delivery. | Ship | 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 Software Engineer (AI) Senior Software Engineer to build and own AI-driven deployment gates that evaluate customer software deployments using CI/CD context and Datadog telemetry, aiming to prevent incidents and ensure safe production releases. The role involves designing progressive automation, foundation for autonomous remediation, and integrating with internal AI teams. Requires experience shipping LLM/agent features to production and owning the end-to-end AI product lifecycle, including evals and rollout. | ShipAgent | 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 |
| Group Product Manager - Containers Product Manager for Datadog's Containers and Live Processes group, focusing on defining vision and strategy. The role involves leading a team of PMs and driving the next generation of products by applying AI/ML to enhance customer understanding, operation, and troubleshooting of containerized systems. Requires experience with B2B SaaS, containers/Kubernetes, team leadership, and AI product fluency. | 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 |