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 |
|---|---|---|
| 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 |
| 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 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 - 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 |
| 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 |
| 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 |
| 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 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 |
| Senior Developer Advocate - Modern App Development Senior Developer Advocate role focused on AI-accelerated workflows and modern app development. The role involves creating technical content, engaging with developer communities, and designing open-source templates to integrate observability into AI-native workflows. Requires strong software engineering experience and fluency in leveraging AI coding assistants. | — | 5 |
| Partner Technology Solutions Engineer Partner Technology Solutions Engineer at Datadog, focusing on enabling third-party developers to build integrations on the Datadog platform. This role involves technical consulting, architectural design, code reviews, and problem-solving for partners, ensuring their integrations are high-performing and secure. The role also involves identifying platform friction points and collaborating with internal teams to improve the developer experience. | — | 5 |
| Senior Systems Engineer, Technical Solutions (US-East) This role focuses on engineering and owning enterprise systems and integrations that support a large technical solutions organization. A key aspect is incorporating AI to make these systems smarter, such as through intelligent routing, automated triage, and agent-assisted workflows. The role involves building AI-powered features using LLMs, embeddings, RAG, and agent frameworks, and contributing to the Datadog codebase when necessary. The engineer will also use AI coding tools to improve their workflow. | Agent | 5 |
| Senior Application Security Engineer Senior Application Security Engineer responsible for building scalable, platform-level security controls to enforce production security invariants across Datadog's infrastructure and developer workflows, with a focus on identity, access, and isolation for AI-driven and agentic workloads. | — | 5 |
| Staff Application Security Engineer Staff Application Security Engineer responsible for defining and driving security standards, building security tooling and automation, leading threat modeling, and assessing/addressing security risks introduced by agentic development practices and AI-powered product features. The role involves partnering with engineering teams, identifying systemic security risks, and ensuring secure-by-default solutions at scale within an enterprise environment that uses AI extensively. | Agent | 5 |
| Staff AI Engineer - Cloud FinOps Staff AI Engineer focused on Cloud FinOps, responsible for designing and evolving internal platforms and tools to provide visibility into cloud infrastructure costs, analyze spend trends, and develop scalable models for cost attribution and optimization. This role influences strategic decisions regarding infrastructure usage and efficiency, including AI usage. | — | 5 |
| Manager I, Engineering - Core Analytics Manager I, Engineering - Core Analytics at Datadog leads a team building a secure, scalable Data Access Platform for Applied AI and analytics. The role involves technical direction, coding, and partnering with AI/analytics teams to provide production-ready datasets and APIs for model training and analysis, balancing leadership with platform planning. | Data | 5 |
| Staff Software Engineer - Logs Management Staff Software Engineer role focused on Datadog's Logs organization, involving complex initiatives in ingestion pipelines, search infrastructure, and intelligent log management capabilities. The role emphasizes using AI and distributed systems to redefine how customers ingest, query, and derive insights from logs data, with opportunities to lead technical strategy and explore AI-powered capabilities. | Agent | 5 |
| Staff Statistics Engineer - Feature Flagging and Experimentation Datadog is seeking a Staff Statistics Engineer to build new products for Feature Flags and Experiments from scratch. This role involves architecting and implementing a world-class experimentation engine using advanced statistical methods, translating complex statistical concepts into production-ready systems, and influencing product direction. The ideal candidate has deep expertise in statistics and causal inference, with a track record of shipping production-grade software, and is comfortable leveraging AI tools in their workflow. | — | 5 |
| Senior Staff Software Engineer Senior Staff Software Engineer at Datadog, a company focused on observability and security for the AI era. The role involves technical leadership in designing and building large-scale distributed systems, including observability data platforms, query engines, and event streaming infrastructure. The engineer will drive technical direction, optimize system performance and reliability, and mentor other engineers. While the company is AI-focused and the role mentions using AI coding tools, the core responsibilities are in traditional large-scale systems engineering, not direct AI/ML model development. | — | 5 |
| Senior Software Engineer Senior Software Engineer role at Datadog, focused on building and scaling systems. The role emphasizes using AI coding tools and contributing to AI-enabled products, but the core responsibilities are in software engineering for a large-scale platform, not direct AI/ML model development or research. The company positions itself as an observability platform for the AI era. | — | 5 |
| Senior Software Engineer - Distributed Systems Senior Software Engineer role focused on building and running foundational distributed systems platforms for Datadog's observability and security platform. The role involves designing, implementing, and operating fault-tolerant, horizontally scalable solutions that process billions of events per second in real-time, optimized for durability, high availability, and low latency. Experience with languages like Go, Java, Rust, or C++ and components like Kafka, Redis, Cassandra, and Elasticsearch is required. While the role is primarily focused on distributed systems infrastructure, it mentions the use and potential improvement of AI coding tools and building AI-enabled products as a bonus. | — | 5 |
| Staff Software Engineer Staff Software Engineer at Datadog, a leading observability and security platform. The role focuses on technical leadership, designing and building industry-leading systems at planet scale, and improving company-wide standards. While not directly building AI models, the role requires demonstrated ability to use AI coding tools and has a bonus motivation to improve AI best practices and contribute to AI-enabled products. The company itself uses AI extensively in its platform. | — | 5 |
| Senior Software Engineer - Infrastructure R&D This role focuses on building and designing systems for infrastructure provisioning and orchestration, specifically aiming to reduce complexity and operational overhead. A key aspect involves creating environments that can support the rapid expansion of AI inference workloads, though the role itself is not directly building AI models or agents. | — | 1 |
| Senior Software Engineer - Environments Accelerator Senior Software Engineer role focused on designing and building systems for infrastructure provisioning and datacenter operations, with a specific mention of supporting AI inference workloads. The role involves working with Kubernetes, cloud infrastructure, and IaC, aiming to reduce operational overhead and complexity. | — | 1 |
| Senior Developer Advocate - Data Observability Senior Developer Advocate focused on Data Observability, enabling engineers to build better software. This role involves acting as a subject matter expert, creating content (demos, blogs, talks), partnering with internal teams, contributing product feedback, and identifying community engagement opportunities. Requires deep hands-on experience in modern data engineering, data platforms, streaming systems, data quality/lineage, and programming/querying. Experience in advocacy and reaching technical audiences is also necessary. | — | 1 |
| Datadog for Startups Engineering Lead Datadog is seeking an Engineering Lead for its Datadog for Startups program. This role combines technical sales engineering and ecosystem growth leadership to attract and support fast-scaling companies. The lead will validate technical needs, deliver tailored demos, manage forward-deployed engineering projects, and represent Datadog at events. They will also contribute to program improvements and automation. The ideal candidate has 5-7 years of experience in sales engineering or a related technical role, a strong understanding of startup tech stacks, and excellent communication skills. | — | 1 |
| Security Engineer 2 - Cyber Threat Intelligence Security Engineer role focused on Cyber Threat Intelligence, developing tooling for intelligence collection and analysis, assessing threats, conducting threat hunting, and operationalizing intelligence into security improvements. Partners with security teams for detection, response, and strategy. | — | 0 |
| Coordinator, Business Recruiting - Contract (NYC) This is a Business Recruiting Coordinator role at Datadog, a company that provides an observability and security platform for the AI era. The role focuses on managing the interview process, scheduling, candidate communication, and supporting the growth of the company's teams. It is not directly involved in building or researching AI/ML models. | — | 0 |
| Maintenance Assistant (NYC) This role is for a Maintenance Assistant responsible for the day-to-day operations of office spaces, including cleanliness, safety, and light facilities maintenance. It involves managing service requests via a ticketing system, coordinating with vendors, and ensuring the functionality of office furniture and equipment. | — | 0 |
| Senior Software Engineer - Synthetics Platform Datadog is seeking a Senior Software Engineer for their Synthetics Platform team. This role involves deploying and managing Synthetics locations, developing automated migration tooling, and supporting infrastructure for Synthetics products. The ideal candidate will have experience with distributed systems, cloud environments, and infrastructure-as-code. | — | 0 |
| Manager I, Engineering - Data Visualization Explorations Manager for a Data Visualization Explorations team focused on enhancing core widgets and creating end-to-end experiences for observability engineers, involving product direction, team coaching, and cross-team collaboration. | — | 0 |
| Manager II, Federal Support Engineering - Denver Manager II for Datadog's Federal Support Engineering team, focusing on serving Public Sector customers in regulated environments. Responsibilities include managing and mentoring support engineers, collaborating across teams, and ensuring excellent customer and organizational results. | — | 0 |
| Senior Manager, Accounting Datadog is seeking a Senior Manager, Accounting to oversee global payroll, bonuses, commissions, and other compensation accounting areas. This role requires ensuring financial reporting integrity, driving scalable processes, and managing key aspects of the financial close and audit processes. The position involves leading a team, ensuring US GAAP compliance, and partnering with various departments. | — | 0 |
| Senior Internal Auditor Datadog is seeking a Senior Internal Auditor to support SOX testing and other audit projects, focusing on identifying and mitigating technology risks across various domains including cybersecurity, IT, data privacy, finance, and the Datadog product platform. The role involves assessing risks, managing SOX control testing, developing the IT audit program, and partnering with various teams to ensure control design. | — | 0 |
| Senior Cloud Security Engineer - K8s Senior Cloud Security Engineer focused on Kubernetes and Service Mesh to secure cloud infrastructure and enable safe AI usage. Develops AI-based solutions for security at scale. | — | 0 |
| Services Architect 3 - Denver This role is for a Services Architect at Datadog, focusing on implementing and deploying the Datadog platform for customers. Responsibilities include designing technical roadmaps, guiding customer onboarding, writing automation, and managing implementation projects. The role requires experience with cloud platforms, DevOps monitoring, IAC, CI/CD tools, and scripting languages. While Datadog positions itself as an 'observability and security platform for the AI era' and mentions using AI, this specific role is about implementing their platform, not directly building or researching AI/ML models. | — | 0 |
| Technical Support Engineer 3, Premier - San Francisco Technical Support Engineer role focused on assisting Datadog's Premier customers with technical questions, troubleshooting, and implementing integrations. The role involves building customer relationships, handling escalations, driving product/engineering conversations, and improving documentation. | — | 0 |
| Manager I, Engineering - Subscriptions Manager I, Engineering for Datadog's Subscriptions team, which is part of the core monetization platform. This role involves leading a full-stack engineering team to build and operate high-throughput, high-availability services that process revenue-critical pipelines for cloud marketplaces, partners, and in-app purchasing. The position focuses on evolving systems to support new pricing models, purchasing flows, and regional requirements, with ownership across customer-facing features and backend services. | — | 0 |
| Senior Software Engineer, Community Open Source Engineering Senior Software Engineer for Datadog's Community Open Source Engineering team, focused on growing the Quickwit OSS community and projects. Responsibilities include managing the community, defining governance, assessing project health, evangelizing Quickwit, and advancing the roadmap through architectural changes and feature development. Requires systems-level programming experience, preferably with Rust, and strong written communication skills for technical writing. | — | 0 |
| Staff Software Engineer - Logs Observability Pipelines [New York] Staff Software Engineer focused on building and scaling high-throughput systems for log processing, routing, and transformation within customer-managed observability pipelines. The role involves driving architecture, leading cross-team initiatives, and ensuring system performance and scalability in distributed environments. | — | 0 |
| Technical Support Engineer 2, Premier - San Francisco This role is for a Technical Support Engineer at Datadog, focusing on assisting prospects and customers with technical questions about the Datadog platform. Responsibilities include responding to client requests, developing customer relationships, reproducing issues, building documentation, and driving product conversations. The role requires experience in multi-channel technical support at a SaaS company, basic programming knowledge, and a client-centric approach. | — | 0 |
| Manager, Networking Manager of Networking at Datadog to lead global network services, ensuring high-performance Wi-Fi and direct internet access across all offices. Responsibilities include leading network engineering teams, overseeing infrastructure design and deployment, defining standards and policies, and collaborating with other IT teams. Requires people management experience, expertise in Wi-Fi and edge networking, and experience managing large-scale global projects. | — | 0 |