Datadog

Research Scientist role focused on training multimodal foundation models and trained agents for cloud observability, involving distributed training, RL, and simulation environments. Collaborates with product and engineering teams to integrate research into Datadog's products.

Senior LLM Engineer to build AI-assisted tools for Datadog developers, focusing on LLM-based agents, generating tests, fixing bugs, and improving performance. The role involves working with users, designers, and PMs to prototype, iterate, and ship these systems, integrating them with Datadog products and following the latest research in LLM prompting and agents.

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.

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.

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 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.

This role partners with customers to design, execute, and scale experimentation programs, focusing on A/B testing and advanced experimentation methods. It involves educating customers on best practices, collaborating with internal teams (Sales, Product, Engineering), and translating customer feedback into product improvements. The ideal candidate has a strong foundation in statistics and causal inference, with experience in customer-facing or consulting roles.

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 Senior Software Engineer to join their platform team. The role involves solving scaling bottlenecks, deploying new features, fixing production issues, and designing scalable architectures. While the company operates in the AI era and encourages leveraging AI tools for coding and problem-solving, the core responsibilities of this role are focused on building and scaling their observability platform, not directly on developing AI models or agents.

Senior Software Engineer role focused on the eBPF Platform team at Datadog, working on shared eBPF infrastructure within the Datadog Agent. The role involves contributing to GPU Monitoring capabilities, building and maintaining eBPF functionality, debugging complex production issues, and researching solutions at the intersection of eBPF, Linux kernel, and GPU infrastructure.

IT Support Technician Intern role focused on managing internal tools, systems, and services, troubleshooting issues, supporting employee onboarding/offboarding, managing SaaS applications, and maintaining infrastructure for Datadog's Enterprise IT organization. The role involves providing customer service for endpoint devices and supporting SaaS solutions.

This role is for a Partner Sales Manager focused on identifying, recruiting, and enabling strategic Global Systems Integrator (GSI) partners to drive revenue growth and new customer adoption for Datadog's observability and security platform. The role involves working closely with sales teams, coordinating technical and marketing aspects of partnerships, and generating partner-sourced pipeline.

Partner Manager for Datadog's channel sales in the Pan-SEMEA region, focusing on recruiting and managing strategic partners (MSPs, SIs, resellers, cloud providers) to drive customer adoption and revenue. The role involves enabling partners, coordinating technical/marketing aspects, hosting business reviews, and generating sales pipeline.

Manager for a backend engineering team responsible for processing, transforming, and routing tracing data at scale within Datadog's APM product. The role involves technical leadership, roadmap ownership, and cross-functional collaboration for a platform that serves multiple Datadog products.

This role is for a Senior Sales Engineer at Datadog, a company that provides an observability and security platform for the AI era. The role involves providing technical expertise, product demonstrations, and supporting technical evaluations to customers. While Datadog's product incorporates AI, this specific role is focused on sales and customer engagement, not on building or developing AI models or systems.

People Business Partner role at Datadog, supporting a growing global organization and leadership. Responsibilities include advising on performance management, coaching, career pathing, employee relations, compensation, organizational development, training, culture, diversity & inclusion, and employee engagement. Requires 5+ years of HRBP experience, strong analytical and project management skills, and experience in fast-growing tech companies.

Engineering Manager for Security Incident Response team at Datadog, focusing on leading a team, improving incident response capabilities through tools and automation, and collaborating with stakeholders to enhance security resilience.

Engineering Manager for Security Incident Response team at Datadog, focusing on leading a team, improving incident response capabilities through tools and automation, and collaborating with stakeholders to enhance security resilience.

This role is focused on building and maintaining tools, documentation, and policies to improve how engineers interact with open source software, both internal and third-party. It involves interfacing with open source communities, analyzing repository trends, and contributing feedback to Datadog's product. The role requires software development experience and a love for building developer productivity tools.

Manager for Enterprise IT Support team, focusing on hiring, developing, managing technicians, driving performance to operational targets, owning policies and standards, scaling self-service, and serving as an escalation point. Requires people management experience, endpoint and OS support background, and metrics-driven approach.

This role is for a Real Estate Associate Project Manager responsible for managing coworking spaces globally, focusing on EMEA and Asia. Key responsibilities include managing access, coordinating floorplans, handling financial administration (invoicing, credit cards), tracking member activity, onboarding vendors, monitoring usage, analyzing reports, conducting site evaluations, and driving continuous improvement in real estate operations. The role requires a degree in Business, Finance, Real Estate, or Law, with at least 2 years of experience in real estate and financial/analytical experience, strong spreadsheet skills, and excellent communication and problem-solving abilities. English fluency is required, and French is preferred.

This role is for a Partner Solutions Architect at Datadog, focusing on supporting partners in their adoption of Datadog's platform, particularly in areas like cloud migration and DevOps transformation. The role involves technical enablement, collaboration with partner and Datadog teams, and advocating for partner needs. While Datadog's platform is used in the AI era and by AI leaders, this specific role is not directly involved in building or researching AI/ML models.

This role is focused on supporting sales teams by creating business cases and ROI/TCO models to justify customer investments in Datadog products. It involves collaborating with sales, post-sales, and marketing to quantify the impact of Datadog's offerings for decision-makers.

This role is focused on building and maintaining tools, documentation, and policies to improve how engineers interact with open source software, both internal and third-party. It involves interfacing with open source communities, analyzing repository trends, and contributing feedback to Datadog's product. The role requires software development experience and a love for building developer productivity tools.

This role is for a Partner Solutions Architect at Datadog, focusing on supporting partners in their adoption of Datadog's platform, particularly in areas like cloud migration and DevOps transformation. The role involves technical enablement, collaboration with partner and Datadog teams, and advocating for partner needs. While Datadog's platform is used in the AI era and by AI leaders, this specific role is not directly involved in building or researching AI/ML models.

Manager for Datadog's Graphing Experience team, focusing on product initiatives, technical vision, roadmap definition, team growth, and delivering high-quality software for data exploration and visualization. The role involves managing engineers, collaborating with product managers, and ensuring alignment with engineering standards.

Sales Engineer role at Datadog, an observability and security platform company that uses AI. The role involves providing technical expertise, supporting sales, and gathering customer feedback for product prioritization. It requires strong technical and communication skills, with experience in programming/scripting and a background in Sales Engineering or DevOps.

Manager for an infrastructure team building and maintaining a managed platform for data storage and search, using Postgres as a cornerstone. The role involves leading a team of software engineers, driving the technical roadmap, and collaborating with other teams to support Datadog's product offerings.

Manager for Datadog's Resource Graph team, responsible for data infrastructure, performance, and reliability. The role involves strategic leadership, team oversight, technical excellence, innovation, talent management, and cross-functional collaboration. Experience with graph databases and managing teams is required.

Product Designer II for Datadog's Cloud Cost Management team, focusing on commitment programs. The role involves designing user experiences for understanding, choosing, and managing cloud commitments to achieve cost savings. It requires end-to-end design ownership, collaboration with product managers and engineers, and evolving the product from AWS-only to multi-cloud.

Datadog is seeking a Senior Product Solutions Architect for their Logs product family, focusing on enabling customer adoption, architecting solutions, and providing technical expertise. The role involves working with customers, product teams, and field teams to drive best practices, create reference architectures, and build training materials. The ideal candidate has strong experience with Kubernetes, cloud infrastructure, and observability tools, and can act as a trusted advisor to customers and product management.

Datadog is seeking a Technical Support Engineer to assist customers with technical questions about their platform, focusing on enabling growth and ensuring customer success. The role involves responding to client requests, developing customer relationships, reproducing issues, building documentation, and driving product conversations.

This role is in Corporate Development, focusing on M&A and venture investments for Datadog, an observability and security platform for the AI era. The role requires strategic thinking, deal sourcing, negotiation, and partnership management, with a focus on driving product strategy and expansion opportunities. While the company operates in the AI era and uses AI, this specific role is not directly involved in building or researching AI/ML models.

Datadog is seeking a Strategic Account Executive to target and close new business with large, strategic customers and prospects. The role focuses on understanding customer pain points in cloud environments and delivering Datadog solutions, emphasizing sales process efficiency, relationship building, negotiation, and accurate forecasting.

Engineering Manager for Security Incident Response team at Datadog, focusing on leading a team, improving incident response capabilities through tools and automation, and collaborating with stakeholders to enhance security resilience.