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 |
|---|---|---|
| Enterprise Sales Engineer - Mexico Datadog is seeking an Enterprise Sales Engineer for Mexico to provide technical expertise, support sales, and gather customer feedback for their AI-powered observability and security platform. The role involves technical engagement during trials, closing complex opportunities, and delivering product briefings. While the company heavily utilizes AI, this specific role is in sales engineering, focusing on customer interaction and technical sales support rather than direct AI/ML model development or research. | — | 5 |
| GTM Strategy/Operations Associate - Dublin This role is for a GTM Strategy/Operations Associate in EMEA. The primary focus is on strategic planning and operational excellence within the sales organization. While the role emphasizes using AI tools to enhance efficiency and gain insights, it does not involve building or shipping AI models or agents. The role supports the broader product strategy by optimizing sales processes and driving business growth. | — | 5 |
| AI Governance Analyst 1 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. | Agent | 5 |
| Associate Marketing Data Analyst - Marketing Analytics This role supports a marketing analytics team by maintaining data, dashboards, and implementing AI solutions to improve workflows. It involves data analysis, SQL, BI tools, and Excel/Google Sheets. | — | 5 |
| Technical Account Manager 2 - São Paulo This role is a Technical Account Manager at Datadog, focusing on enterprise clients. The primary responsibility is to act as a trusted technical advisor, ensuring successful adoption and effective usage of the Datadog platform, which is described as an observability and security platform for the AI era. The role involves educating clients, analyzing IT environments, recommending improvements, and creating executive-level summaries linking platform usage to business outcomes. While the company operates in the AI space and the platform uses AI, the role itself is customer-facing and consultative, not directly involved in building or researching AI models. | — | 5 |
| Enterprise Sales Engineer Enterprise Sales Engineer at Datadog, a platform for observability and security in the AI era. The role involves providing technical expertise, supporting sales, and influencing product development based on customer and market feedback. Requires strong technical and communication skills, with experience in programming/scripting and a background in Sales Engineering or DevOps. | — | 5 |
| Senior Product Manager - Code Security Senior Product Manager for Datadog's Code Security products, focusing on application vulnerability management and software composition analysis. The role involves defining roadmaps, conducting customer discovery, and launching new capabilities at the intersection of AI and security. While the role mentions AI, it is not core to building AI models but rather leveraging AI tools within security products. | — | 5 |
| Privacy Counsel Seeking a Privacy Counsel to advise on data protection, cybersecurity, and AI governance matters, partnering with legal, product, and engineering teams. The role involves conducting privacy and AI risk assessments, developing internal policies for responsible AI use, and monitoring emerging AI regulatory developments. | — | 5 |
| Enterprise Sales Engineer Enterprise Sales Engineer at Datadog, an observability and security platform for the AI era. The role involves providing technical expertise, supporting sales, and gathering customer feedback for product prioritization. It requires experience with cloud platforms, modern app stacks, and observability/security tooling. | — | 5 |
| Senior Customer Data Science - Solutions / Experimentation 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. | — | 5 |
| Senior Product Manager - AI & Data Security Product Manager II at Datadog focused on defining and delivering capabilities for organizations to securely adopt and scale AI. The role involves building products for visibility into AI systems and data usage, assessing security posture, and managing risk across the AI lifecycle, operating at the intersection of security, AI, and cloud platforms. | — | 5 |
| Product Manager II - Risk-Based Alerting (SIEM) Product Manager II for Risk-Based Alerting within Datadog’s Cloud SIEM, defining and delivering intelligent alerting systems to help security teams focus on critical threats. Role involves shaping risk modeling, prioritization, and surfacing across the platform, reducing alert noise and improving signal quality. | — | 5 |
| Software Engineer - Early Career 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. | — | 5 |
| Product Manager II - Identity Security Product Manager for Identity Security at Datadog, focusing on building cloud identity and access security capabilities. The role involves defining and building the roadmap for identity security, partnering with engineering and go-to-market teams, and understanding market landscapes. The ideal candidate has experience in enterprise software, security, or cloud infrastructure, with a strong understanding of cloud IAM and non-human identity management challenges. The role explicitly mentions the regular use of LLM-based tools for productivity. | — | 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 |
| GTM Strategy & Operations Senior Associate - Sales Development & AI This role focuses on driving Sales Development Representative (SDR) productivity and pipeline generation by building, launching, and deploying AI-driven solutions and tools. The role involves strategic partnership with SDR leadership, defining the SDR AI roadmap, analyzing GTM data, and developing strategic roadmaps for scaling the SDR organization. While the role heavily involves AI, it is in the context of enhancing sales operations and productivity, not core AI/ML model development. | — | 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, Security Engineering - Vulnerability Management 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. | — | 5 |
| Senior Sales Engineer - Key Accounts Northcentral This role is for a Senior Sales Engineer at Datadog, a company that provides an observability and security platform for the AI era. The Sales Engineer will provide technical expertise, conduct product demonstrations, support technical evaluations, and help close opportunities. While Datadog's product is AI-centric, this role is focused on sales and customer engagement, not on building or researching AI models. | — | 5 |
| Senior Sales Engineer - Key Accounts Southcentral Datadog is seeking a Senior Sales Engineer to provide technical expertise, support technical evaluations, and close opportunities with customers and partners. The role involves articulating the Datadog value proposition, owning technical engagement during the trial phase, and delivering product and technical briefings. The ideal candidate has 3+ years in Sales Engineering or DevOps Engineering, strong communication skills, and programming experience. | — | 5 |
| Product Manager II - Custom Metrics Product Manager II for Datadog's Custom Metrics, focusing on AI-driven governance, agentic workflows, and cross-product expansion. The role involves owning roadmap initiatives, customer engagement, end-to-end execution, and partnering with engineering and design for technical B2B SaaS and platform products. | — | 5 |
| Field CTO (Japan) Datadog is seeking a Field CTO for Japan to act as a trusted advisor to C-level executives, supporting sales and customer success through technical expertise. The role involves understanding customer business goals, aligning them with Datadog's product strategy, and contributing to the company's growth by leading technical strategy for the Japanese market, establishing industry leadership, and expanding market presence. The role requires deep experience in enterprise architecture, strategic thinking, stakeholder management, and strong presentation and communication skills, with a focus on observability and security within the AI era. | — | 5 |
| Product Marketing Manager - Emerging Products / AI Product Marketing Manager for AI and Emerging Products at Datadog, responsible for shaping and driving go-to-market strategies, leading product launches, creating content, and enabling sales teams for AI-related products. | — | 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 |
| Product Manager II - Real User Monitoring (RUM) Product Manager II for Datadog's Real User Monitoring (RUM) product, focusing on customer onboarding, product consistency, and building intelligence from data. The role involves shaping product vision and strategy in collaboration with engineering, design, data science, and other teams, with an emphasis on enterprise software and frontend technologies. | — | 5 |
| Director, Product Management - Security Director of Product Management for Security at Datadog, focusing on growing market share through innovation and customer value in data, AI, code, and cloud security. The role involves leading product strategy, roadmap execution, GTM strategy, and managing a team of product managers, with a strong emphasis on business growth and customer adoption in CNAPP, data, and AI security markets. | — | 5 |
| Enterprise Sales Engineer (Hong Kong Market) Datadog is seeking an Enterprise Sales Engineer for the Hong Kong market to provide technical expertise, support sales, and gather customer feedback for product prioritization. The role involves technical engagement, closing complex opportunities, and delivering product briefings. The ideal candidate has 5+ years of experience in sales engineering or related fields, cloud and modern app stack knowledge, and familiarity with observability/security tooling. Proficiency in English is required, with Cantonese being advantageous. Travel up to 45% is expected. | — | 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 Manager II - Cloud Detection & Response Product Manager for Datadog's Cloud Detection & Response (CDR) product, focusing on building a unified threat detection, investigation, and response experience. This role integrates security telemetry with Datadog's observability platform (APM, metrics, logs) to provide security teams with a context-rich workflow. The PM will partner with engineering, design, and go-to-market teams to define the product area, drive adoption, and revenue growth. The role requires understanding market landscapes, translating threat intelligence into requirements, and creating delightful user experiences for security operations teams. While the role itself is not building core AI models, it leverages LLM-based tools extensively for productivity and is part of a platform that uses AI for detection and resolution. | — | 5 |
| Product Manager II - Code Security Product Manager II on the Code Security team, defining and executing Datadog’s roadmap for securing the software supply chain in the era of AI-assisted and agentic coding. This role focuses on identifying emerging risks in modern development workflows and translating them into high-impact product capabilities, working cross-functionally with engineering, security research, design, and go-to-market teams. | Agent | 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 |
| 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 |
| Senior Corporate Development Lead, AI This role focuses on Datadog's AI product strategy, involving market analysis, sourcing AI startups for M&A or partnerships, and collaborating with internal teams to evaluate strategic opportunities. It's a high-visibility role reporting to the CEO, requiring strong relationships within the AI founder and VC ecosystem. | — | 5 |
| Group Product Manager - Threat Detection and Incident Response (Cloud SIEM) Group Product Manager for Datadog's Cloud SIEM product, focusing on Threat Detection and Incident Response (TDIR). The role involves defining product strategy, leading a team of product managers, and collaborating with engineering, design, and go-to-market teams to enhance security operations capabilities. The product leverages AI for threat detection and issue resolution. | — | 5 |
| Director, User Research - Product Design Director of User Research to lead a team that integrates human insights with quantitative depth and AI-driven synthesis to build products. The role focuses on understanding customer pain points and motivations, influencing product direction, and using AI tools to accelerate research synthesis. | — | 5 |
| Senior Product Manager - Notebooks Datadog is seeking a Senior Product Manager for their Notebooks product, which is described as a collaborative surface for data exploration, documentation, and analysis, akin to a hybrid of Google Docs/Notion and Jupyter notebooks. The role involves driving product vision, gathering customer requirements, and collaborating with internal teams to enhance the product suite. The product is used by a passionate segment of users with significant growth potential. The role operates at the intersection of documentation, collaboration, data visualization, observability, and business intelligence. | — | 5 |
| Senior Backend Software Engineer - Product Analytics 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. | — | 5 |
| Senior Sales Engineer - Key Accounts Senior Sales Engineer for Datadog, focusing on enterprise accounts. This role involves providing technical expertise, product demonstrations, and supporting technical evaluations to close opportunities. The Sales Engineer will also act as a liaison between customers and the product team, influencing feature prioritization based on market feedback. While the company operates in the AI era and uses AI in its platform, this specific role is customer-facing and sales-oriented, not directly involved in building or researching AI models. | — | 5 |
| Enterprise Sales Engineer - UK Sales Engineer role at Datadog, an observability and security platform for the AI era. 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. | — | 5 |
| Senior Software Engineer - Data Science 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. | — | 5 |
| Senior Technical Program Manager, Knowledge Systems This role is for a Senior Technical Program Manager focused on Knowledge Systems within Datadog's Technical Solutions organization. The primary responsibility is to lead the Knowledge Systems program, which includes managing the knowledge lifecycle, enterprise search, and content governance. The role also involves driving cross-functional projects for systems and tooling across TS Ops, with a stated goal of leveraging AI to automate processes and curate the knowledge base. The TPM will own roadmaps, define standards, track KPIs, and manage projects end-to-end, influencing without direct authority. | — | 5 |
| Senior Sales Engineer This role is for a Senior Sales Engineer at Datadog, focusing on providing technical expertise to customers and supporting sales opportunities. While Datadog's platform is AI-powered and used in the AI era, the Sales Engineer role itself is not directly building or researching AI models but rather enabling customers to leverage an AI-assisted product. The role involves technical evaluations, product demonstrations, and acting as a liaison between customers and the product team. | — | 5 |
| Enterprise Sales Engineer - Brazil Enterprise Sales Engineer for Datadog, an observability and security platform for the AI era. The role involves providing technical expertise, supporting sales, and influencing product direction based on customer and market feedback. Requires strong technical and communication skills, with experience in programming/scripting and a background in Sales Engineering or DevOps. | — | 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 Software Engineer - Backend & Scalability 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. | — | 5 |
| Technical Support Engineer 1 - 2 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. | — | 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 |
| Enterprise Sales Engineer Enterprise Sales Engineer at Datadog, an observability and security platform for the AI era. The role involves providing technical expertise to support sales, including presentations, demos, and technical evaluations. Responsibilities include owning technical engagement during trials, closing complex opportunities, and communicating product feedback to the product team. Requires 3+ years in Sales Engineering or DevOps Engineering, strong communication skills, and programming/scripting experience. | — | 5 |
| Senior Software Engineer - Distributed Systems 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. | — | 5 |
| Senior Software Engineer - Backend 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. | — | 5 |