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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

This role is a Field CTO for the Retail & E-commerce industry, focusing on guiding C-level executives on adopting Datadog's observability and security platform. The role involves strategic guidance, Go-To-Market strategy, thought leadership, advisory services, collaboration with internal teams, and leading architecture engagements. While the company operates in the 'AI era' and uses AI, this specific role is not directly involved in building or shipping AI models or systems, but rather in the strategic adoption of a platform that leverages AI.

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.

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.

Technical Support Engineer role focused on providing multi-channel technical support, product expertise, and customer education for Datadog's platform, which is described as an observability and security platform for the AI era. The role involves troubleshooting, reproducing issues, and participating in product conversations.

Technical Support Engineer role focused on providing customer support, educating clients on a platform, reproducing technical issues, and becoming a product specialist. The role involves customer engagement through various channels and collaboration with internal teams.

Senior Commercial Counsel role at Datadog, focusing on negotiating commercial agreements and navigating regulatory landscapes in India and South East Asia. The role involves advising internal stakeholders, coaching sales teams, and collaborating with cross-functional teams. Experience with SaaS contracts, privacy, security, IP, and AI is required. The company is an AI-focused observability platform.

This is a Channel & Alliances sales role focused on building and accelerating growth with channel partners, including recruiting new partners and managing existing strategic relationships. The goal is to develop alliances that drive customer adoption and new revenue, working closely with Datadog's sales organizations to generate partner-sourced sales pipeline and revenue.

This role is for a Senior Regional Manager of Sales Engineering at Datadog, focusing on leading Sales Engineering Managers and their teams in the Commercial segment across LATAM. The primary responsibility is to drive new logo acquisition by enabling prospective customers to evaluate and adopt Datadog's platform for Observability and Security. The role involves people management, strategic sales partnership, process improvement, and cross-functional collaboration, with a focus on technical presentations, demonstrations, and proof-of-value engagements.

This role focuses on building and sustaining programs that promote belonging at Datadog, primarily leading Community Guilds (Employee Resource Groups) and supporting company-wide Inclusion events and initiatives. The role involves collaborating with cross-functional partners, coaching co-leads, and managing relationships with external partners. It emphasizes driving a more inclusive culture and strengthening how the business works and grows.

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.