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.

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.

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.

Staff AI Engineer role focused on building AI-driven workflows and agent systems within Datadog Notebooks, requiring technical leadership, end-to-end development, and a product-minded approach.

Staff AI Engineer role focused on building AI-driven features within Datadog Notebooks, including agent systems, natural-language data analysis, and assisted graph generation. The role involves technical leadership, end-to-end development, and deployment of ML/AI features, with a focus on production scale and reliability.

Manager for an AI Platform team focused on Annotation & Evaluation. Responsibilities include managing engineers, defining technical roadmap, tailoring data pipelines, and creating team culture. The role involves hands-on work like code and design reviews. Experience in leading software engineering teams and building high-performing teams is required. The role also requires experience with AI coding tools and validating AI-generated output. Bonus for pushing AI boundaries in software engineering.

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.

Staff AI Engineer focused on building AI-driven workflows and agent systems within Datadog Notebooks, leading the design, development, and deployment of ML/AI features from prototyping to production scale.

Staff AI Engineer role focused on building AI-driven workflows and agent systems within Datadog Notebooks, acting as a technical leader for the design, development, and deployment of ML/AI features, from prototyping to production scale.

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.

Datadog is seeking a Senior AI Engineer to build the next generation of AI-driven security capabilities, focusing on their AI agent that leverages LLMs for security analysis and threat investigation. The role involves developing tools, retrieval and planning strategies, guardrails, prompt management, and shipping AI-driven security features.

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.

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.

Datadog is seeking a Senior Software Engineer to build AI-assisted tools for developers, focusing on LLM-based agents for tasks like test generation and bug fixing. The role involves working on prompts, evals, agent tools, productionizing systems, and integrating them with Datadog products.

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.

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.

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.

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.

Staff GenAI Engineer focused on agentic workflows within Datadog's APM product. The role involves technical leadership in designing, training, evaluating, and deploying GenAI/ML models at scale, with a strong product mindset and collaboration across teams.

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.

Manager to lead a team evaluating source code security using static analysis and LLM-based review systems, focusing on agentic reviewers, secure guardrails, and sandboxing for coding agents. The role involves managing a team, contributing technically, and defining the roadmap for evaluating coding agent output and securing source code.

Datadog is seeking a Staff Applied Scientist to join their Applied AI team. This role will focus on developing and integrating AI-powered features into Datadog's observability and security platform, providing unified visibility and enabling faster issue resolution. The position is based in New York.

Manager for an engineering team building AI-powered developer tooling, specifically focusing on code coverage. The role involves leading a team, setting technical direction, and hands-on contributions to architecture and design. The team will evolve the product to use AI and LLMs to improve test quality and effectiveness, leveraging production data.

Manager for APM Retrieval team at Datadog, focusing on query path for traces and spans search, and leading the evolution of APM MCP Toolset for agentic workflows. This role involves leading a team, defining technical direction, driving cross-functional alignment, and ensuring operational excellence for critical APM services, with a focus on AI-powered product development and exposing APM intelligence.

Senior Generative AI Engineer to build AI-assisted tools for Datadog developers, focusing on LLM-based agents for tasks like test generation and bug fixing. The role involves prompt engineering, agent tool development, productionization, and integration with existing Datadog products.

Senior AI Engineer to build AI-assisted tools for Datadog developers, focusing on LLM-based agents for tasks like test generation and bug fixing. The role involves working closely with users, prototyping, productionizing systems, and integrating them with Datadog products.

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.

Senior Software Engineer to build AI-focused developer workflows and tools, including AI agents, prompts, and evals, for Datadog customers. The role involves ideation, prototyping, shipping features, and supporting other teams in productionizing AI workflows.

Senior Software Engineer on the AI Platform team at Datadog, focusing on designing and evolving systems for measuring AI quality at scale. This includes building evaluation pipelines, model performance monitoring, and annotation workflows to assess correctness, safety, bias, and reliability. The role partners with product, ML, and infrastructure teams to define quality standards, integrate evaluation systems with observability, and build human-in-the-loop feedback mechanisms.

This role focuses on building and deploying ML-powered features within Datadog's observability platform, specifically in areas like anomaly detection and error outlier analysis. The scientist will design, research, build, and scale these features, working closely with engineering and product teams, and will be involved in the full lifecycle from exploration to production monitoring.

Senior Security Engineer focused on offensive security, leveraging AI and automation to execute sophisticated red team operations and build scalable tooling. The role involves planning and executing red team engagements, developing custom offensive tooling and evasion capabilities, and improving operational efficiency through AI.

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.

Security Engineer II focused on the vulnerability management lifecycle, aiming to improve efficiency through automation and an AI-first approach. The role involves reducing engineering toil, developing automation for detection and remediation, collaborating with various teams to shift left on vulnerabilities, and developing metrics for leadership. It also requires providing expertise for compliance frameworks like SOC2, HIPAA, PCI, FedRAMP, and ISO.

Manager II, Engineering role focused on leading teams to build, scale, and operate a new "Bring Your Own Cloud" (BYOC) product initiative at Datadog, expanding into logs, metrics, and traces. The role involves product design, roadmap definition, execution, and operational reliability, with a requirement to use and validate AI coding tools.

This role focuses on AI Governance and Process Design for AI Orchestration systems. The analyst will translate regulatory and policy requirements into actionable governance frameworks, design and implement process guardrails within AI systems, and partner with engineering and legal teams to monitor and audit AI agent behavior. The goal is to embed governance as a foundational architecture rather than just a review process.

Early-career Software Engineers at Datadog will work on large-scale, real-time systems for observability and security, focusing on collecting, aggregating, visualizing, and analyzing metrics, logs, and application data. The role involves solving scaling bottlenecks, deploying features, fixing production issues, optimizing services, and planning projects. While not core AI development, the role encourages leveraging AI tools for coding and problem-solving, with a bonus for contributing to AI-enabled products.

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.

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.

Manager for Security Engineering focused on Vulnerability Management, aiming to scale and improve the lifecycle using an AI-first approach. Responsibilities include leading a team, shifting left on vulnerabilities, reducing toil through automation and AI, developing metrics, and providing expertise for compliance frameworks. Requires experience in vulnerability management, leadership, cross-functional collaboration, and programming languages. Experience with compliance frameworks like SOC2, HIPAA, PCI, FedRAMP, ISO is required.

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.

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.

Senior Backend Software Engineer for Product Analytics at Datadog. This role focuses on building and maintaining core backend systems for processing and correlating user data. While the company is in the AI era and the role mentions leveraging AI tools for coding and potentially building AI-enabled products, the core craft is backend engineering for data analytics, not direct AI/ML model development.

Senior Software Engineer role on the Data Science team at Datadog, focusing on building and scaling backend systems for data-driven features like anomaly detection and error outliers. The role involves working with large-scale distributed systems, data processing frameworks, and integrating data for data science models, with an emphasis on performance, cost-efficiency, and scalability.

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.

Senior Software Engineer role focused on backend and scalability for Datadog's observability and security platform. The role involves designing and building reliable backend services, owning core components, and collaborating on system architecture. While not directly building AI models, the role emphasizes leveraging AI tools for coding and problem-solving, with a bonus for contributing to AI-enabled products.

Technical Support Engineer role at Datadog focused on providing technical expertise and support for the Datadog platform to existing and potential clients. Responsibilities include troubleshooting, product demonstrations, and acting as a liaison between customers and internal teams.

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.

This role focuses on building and maintaining the distributed systems that power Datadog's observability and security platform, which is used by AI-focused companies. While the role itself is not directly building AI models, it operates within an AI-centric product and the company encourages leveraging AI tools for software engineering.