Senior Interaction Designer, Design Lab

🏢 Summary: Senior Product Designer, Motion role focused on defining and coding motion systems and AI-first interaction patterns across a large-scale SaaS platform. The position drives evolution of the design system by creating scalable motion patterns, prototypes, and visual frameworks in close collaboration with engineering and product teams. It emphasizes hands-on design, coding, and AI-assisted workflows to shape future-facing user experiences. 🗂️ Requirements: 7+ years of product design experience, Minimum 1 year working with design systems, Strong portfolio in product and interaction design, Experience designing and coding motion systems, Proficiency in front-end technologies (HTML, CSS, React, SVG), Experience with AI-assisted design workflows, Advanced prototyping experience, Ability to collaborate closely with engineering teams 📃 Skills: Motion, DesignSystems, InteractionDesign, Prototyping, Figma, HTML, CSS, React, SVG, AI, Cursor, Claude 🏢 Description: We’re looking for a Senior Product Designer, Motion to innovate and implement how motion and AI-first interaction functions across Datadog’s products and contribute to the visual design evolution of Datadog’s design system. In this role you’ll bring expertise in motion design to reinforce clarity, express system intelligence, and elevate craft throughout the product. Design Lab operates at the intersection of engineering and design, focused on advancing craft and building shared design capabilities that enable exceptional experiences at scale. You’ll partner closely with design systems and product teams to push the visual language forward while ensuring it scales across one of the most complex SaaS platforms in the industry. This is an exciting role for a creative product builder who embraces new technologies to explore and shape the future of how we design at scale. In this role, you’re not limited to one medium, you will use pixels, code, and AI to advance the design language of Datadog, contribute to the design system, define patterns, evolve design tooling, and influence excellence across multiple products. This role is well suited for someone excited about empowering teams through systems and raising the bar for motion design and visual craft across the product ecosystem. Your work will impact every part of our ecosystem, including driving the future of user experience with AI tools and prototyping. This is not a maintenance or governance role. It’s a future-facing role for a designer with strong visual taste, a point of view, and the ability to bring others along. Our team thrives on strong cross-functional relationships, thoughtful critique, and high standards. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Evolve Datadog’s visual design direction at the system level, defining new motion experience patterns and interaction models Design and code the motion system for the design system, including motion tokens, component behaviors, transitions, and icon illustrations Prototype and iterate on new visual ideas with AI-assisted workflows Partner with Brand and Product Design to align product visuals with Datadog’s broader design language Work closely with the Design Systems engineering team to ensure high-quality implementation and code quality Who You Are: You are a designer who embraces new technologies, including code and AI You have 7+ years of experience in product design with at least 1+ of those years focused on or working closely with design systems Your portfolio includes a proven track record of excellent design craft (product and platform) and interaction design You’re fluent in how design intersects with front-end technologies (HTML, CSS, React, SVG, AI-first tooling) You are an excellent visual and written communicator, able to clearly communicate your design work and the support for your design decisions You have experience with advanced prototyping tools (e.g. Figma, Cursor, Claude, etc) You give and receive feedback well, supporting and improving the work of your colleagues as well as your own Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$157,000—$205,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Leadership role to build and scale a 0→1 ML/AI platform enabling large-scale model training and inference across the organization. The position drives technical vision, roadmap, and organizational structure while overseeing multiple teams and managers. It covers the full AI lifecycle, from training and serving to deployment and monitoring, using open-source tooling. 🗂️ Requirements: Experience building 0→1 ML/AI platforms, Hands-on experience with open-source ML infrastructure (e.g., Ray, AnyScale), Strong technical background in large-scale training and inference systems, Experience managing managers and leading multiple engineering teams, Proven record of delivering production-grade AI systems, Experience defining technical vision and roadmap for AI platforms, Experience supporting full AI lifecycle: training, serving, deployment, monitoring 📃 Skills: Python, Ray, AnyScale, ML, AI, OpenSource, Training, Inference, Deployment, Monitoring, Infrastructure, Platforms 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering team and product manager to define the future of the roadmap Create a strong organizational culture centered around our engineering standards and customer- focused approach Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring Who You Are: You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. An experienced engineer and team player with strong technical skills to influence the technical direction of your teams A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity. You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Senior Staff Engineer role focused on leading the design and evolution of large-scale distributed systems and data infrastructure supporting high-growth, high-throughput observability platforms. The position combines deep hands-on technical contribution with cross-team architectural leadership and long-term technical strategy ownership. You will drive high-impact initiatives such as distributed storage engines, real-time streaming infrastructure, and large-scale system re-architecture. 🗂️ Requirements: BS/MS/PhD in scientific field or equivalent experience, 10+ years backend, infrastructure, or distributed systems engineering experience, 4+ years leading complex cross-team technical initiatives, Proven design and delivery of large-scale distributed systems, Expertise in distributed storage, event streaming, networking, data infrastructure, or observability, Experience optimizing performance and reliability in high-scale systems, Ability to define architecture across multiple teams, Experience with AI coding tools and validation of AI-generated code 📃 Skills: DistributedSystems, Backend, Infrastructure, DistributedStorage, EventStreaming, Networking, DataInfrastructure, Observability, SystemDesign, Architecture, PerformanceOptimization, Reliability, Scalability, AI 🏢 Description: About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several teams or product lines. Drive the design and delivery of high-scale, high-impact projects, from vision to execution in production. Build consensus and alignment across stakeholders on key architectural decisions and long-term strategy. Deeply investigate and optimize performance, reliability, and efficiency in large-scale distributed systems. Collaborate with Staff Engineers, Directors, and VPs across the company to shape Datadog’s technical roadmap. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent practical experience. You have 10+ years of backend, infrastructure, or distributed systems engineering experience. You have 4+ years of experience leading complex technical initiatives and cross-team projects.You have designed and delivered systems that are deeply technical, highly reliable, and serve critical business needs. You can navigate and make progress in ambiguous problem spaces, identifying the right problems to solve. You have exceptional communication skills, with the ability to align diverse stakeholders around a shared technical vision. You have deep expertise in one or more core systems domains—such as distributed storage, event streaming, networking, data infrastructure, or large-scale observability—and broad awareness of adjacent areas. You care about getting things right, not just getting them done, and you raise the bar for engineering quality around you. You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$272,000—$340,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Product Manager II role focused on defining and delivering risk-based alerting capabilities within a Cloud SIEM platform to improve signal quality and reduce alert fatigue for security teams. The position drives the vision, design, and lifecycle of scalable detection, enrichment, and prioritization systems using telemetry and contextual risk modeling. You will collaborate cross-functionally to enhance threat detection and incident response workflows at scale. 🗂️ Requirements: 3+ years product management experience in enterprise software for technical users, Experience in security or observability domains, Familiarity with threat detection and incident response workflows, Experience collaborating with engineering and data science teams, Ability to design risk scoring and prioritization models, Data-driven approach to product decisions and metrics, Experience delivering scalable technical systems 📃 Skills: SIEM, Cloud, Telemetry, ThreatDetection, IncidentResponse, RiskScoring, DataAnalysis, SecurityOperations, DetectionEngineering, SaaS 🏢 Description: As a Product Manager II for Risk-Based Alerting within Datadog’s Cloud SIEM, you will define and deliver intelligent alerting systems that help security teams focus on the most critical threats. You’ll work at the intersection of security, data, and user experience to reduce alert noise, improve signal quality, and enable faster, more confident incident response. Partnering closely with customers and internal teams, you will shape how risk is modeled, prioritized, and surfaced across the platform. This role offers the opportunity to influence core security workflows and drive meaningful outcomes for security teams operating at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Define and drive the product vision for Risk-Based Alerting, focusing on improving signal quality and reducing alert fatigue for security teams Design and evolve risk scoring frameworks using telemetry, user behavior, threat intelligence, and contextual signals Partner with customers and security practitioners to understand triage workflows and translate insights into product improvements Collaborate with engineering, data science, and security teams to build scalable detection pipelines, enrichment systems, and prioritization models Own the end-to-end product lifecycle, from discovery and requirements through launch, iteration, and long-term strategy Define and track success metrics such as alert fidelity, signal-to-noise ratio, MTTD/MTTR, and product adoption Who You Are: 3+ years of product management experience building enterprise software for technical users; experience in security or observability is preferred Familiarity with security operations workflows such as threat detection, incident response, or detection engineering Strong product sense with the ability to balance technical systems thinking and intuitive user experience design Experience working cross-functionally with engineering, data science, and go-to-market teams to deliver impactful products Data-driven and structured in your approach to problem-solving, prioritization, and decision-making Effective communicator, able to translate complex technical concepts into clear value for diverse audiences Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Employee-focused best in class onboarding Internal mentor and cross-departmental buddy program Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$165,000—$215,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Lead the vision and delivery of AI-powered infrastructure remediation capabilities that proactively detect and autonomously resolve issues across cloud environments. Own the end-to-end product roadmap spanning UI, CLI, agents, and developer workflows, ensuring safe, trustworthy automation. Drive cross-functional execution to build AI systems that identify, execute, and validate fixes across distributed systems. 🗂️ Requirements: 5+ years Product Management experience in cloud infrastructure or SaaS, Experience shipping AI-driven products, Knowledge of large language models and agent-based systems, Understanding of AI evaluation and safety concepts, Technical knowledge of cloud infrastructure, Ability to reason about APIs and distributed systems, Experience building products for developer or operator audiences 📃 Skills: AI, LLM, Agents, Cloud, SaaS, APIs, DistributedSystems, Infrastructure, Observability, Automation, CLI, UI 🏢 Description: As a Senior Product Manager – AI Remediation, you will define, build, and launch capabilities that proactively and autonomously resolve issues before they escalate into production incidents. You will own a broad roadmap focused on AI-powered automation across infrastructure types including hosts, containers, serverless, and networking. This role spans multiple developer entry points, from the Datadog application to IDEs, CLI, and other workflows, ensuring a consistent experience wherever users operate. You’ll partner closely with Engineering, Design, and customers to build AI systems and agents that safely identify, execute, and validate fixes while preserving trust. This is an opportunity to lead a high-impact initiative at the intersection of AI, infrastructure operations, and autonomous observability. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the product vision and roadmap for AI-driven infrastructure remediation, evolving Datadog from passive observability to proactive, safe action. Define and launch an end-to-end remediation experience across the Datadog UI, agent and chat interfaces, CLI, and other developer workflows. Partner with Design to create user-facing experiences that make proactive remediation intuitive, transparent, and trustworthy. Define AI-powered building blocks that identify remediation opportunities and safely execute actions while maintaining customer confidence. Collaborate cross-functionally with infrastructure monitoring, core platform, and AI product teams to integrate remediation capabilities across the Datadog platform. Establish quality standards and success metrics for remediation, including correctness, safety, and user trust. Who You Are: 5+ years of Product Management experience shipping technical products in cloud infrastructure or SaaS environments, ideally for developer or operator audiences. Have experience shipping AI-driven products and comfortable reasoning about large language models, agent-based systems, evaluation, and safety considerations. Customer-focused, with empathy for how developers and operators work across applications, terminals, and collaboration tools. Technically fluent, with knowledge of cloud infrastructure and the ability to reason about APIs, distributed systems, and AI/ML concepts. Comfortable making thoughtful decisions in ambiguous environments and balancing speed with long-term platform integrity. Clear and concise communicator who can lead cross-functional initiatives and align stakeholders around a shared vision. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Employee-focused best in class onboarding Internal mentor and cross-departmental buddy program Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Own and deliver AI & Data Security product capabilities that help organizations securely adopt and scale AI in cloud environments. Define solutions for AI and data discovery, security posture management, and risk mitigation across the AI lifecycle. Collaborate with engineering and security teams to build visibility and control for AI systems in production. 🗂️ Requirements: 3+ years product management experience in security, AI, data, cloud infrastructure, or developer platforms, Strong understanding of cloud environments and application architectures, Knowledge of generative AI systems fundamentals, Understanding of security risks in AI and ML systems in production, Ability to work closely with engineers on technical design and implementation details, Experience using customer feedback to drive product decisions, Eligibility for required US export authorizations 📃 Skills: AI, Security, Cloud, Data, GenerativeAI, MachineLearning, Infrastructure, Architecture, Compliance, Risk, Posture, Discovery 🏢 Description: As a Product Manager II for AI & Data Security at Datadog, you will define and deliver capabilities that help organizations securely adopt and scale AI across their applications and infrastructure. You’ll focus on building products that provide visibility into AI systems and data usage, assess security posture, and enable teams to manage risk across the AI lifecycle. This role sits at the intersection of security, AI, and cloud platforms, and is ideal for a PM who thrives in emerging, ambiguous problem spaces. You will work cross-functionally to shape how customers discover, understand, and secure AI-powered systems in production. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own and drive the roadmap for AI & Data Security capabilities, including AI and data discovery and posture management Define how customers assess and manage the security posture of AI systems, including risks related to configuration, data exposure, and policy compliance Partner with engineering and design to deliver end-to-end product capabilities, from concept through launch and iteration Collaborate with security research teams to identify emerging risks in AI systems and translate them into actionable product features Engage with customers to understand AI adoption patterns and validate solutions that enable secure, scalable operations Define and track success metrics such as product adoption, usage, and impact on customer security workflows Who You Are: 3+ years of product management experience building technical products in areas such as security, AI, data, cloud infrastructure, or developer platforms Strong understanding of modern cloud environments, application architectures, and the fundamentals of generative AI systems Interest in the security challenges introduced by AI and machine learning systems, particularly in production environments Comfortable working closely with engineers and discussing technical design, tradeoffs, and implementation details Experience engaging with customers and using their feedback to inform product decisions and prioritization Ability to navigate ambiguity and translate complex problem spaces into clear product direction and execution Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Generous and competitive benefits package New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Employee-focused best in class onboarding Internal mentor and cross-departmental buddy program Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$165,000—$215,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Engineering leadership role focused on building and operating production LLM-based systems that understand and safely modify code, enabling automated fixes, CI/PR automation, and AI-assisted development workflows. The role drives technical direction, reliability, evaluation, and end-to-end delivery of code generation services integrated with observability and infrastructure. It combines hands-on system design with team leadership to ship secure, high-quality AI-powered code automation features. 🗂️ Requirements: Proven experience building and deploying LLM-based systems in production, Experience managing software engineers or applied scientists, Strong proficiency in Python and Go, Strong understanding of machine learning theory and statistics, Experience designing production-grade ML and data pipelines, Experience with model evaluation and monitoring in production, Experience with CI/CD and production reliability practices (SLIs/SLOs, on-call), Ability to ensure determinism and reproducibility in model and infrastructure workflows, Experience collaborating with cross-functional engineering, security, and SRE teams 📃 Skills: Python, Go, LLM, MachineLearning, Statistics, CI/CD, SRE, Telemetry, ModelServing, DataPipelines, Observability, Infrastructure, Parsers, Evaluation, Monitoring 🏢 Description: Datadog’s CodeGen team builds systems that use AI to read, understand, generate, and safely change real code — powering automated fixes, CI/PR automation, agentic remediation, and Infrastructure-as-Code workflows. The team ties code understanding to observability so assistants can explain problems and produce safe, auditable code changes. We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance. We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a team of engineers responsible for building production systems that enable code understanding and automated code changes — from parsers and telemetry ingestion to model serving, evaluation, and PR automation. Drive technical direction and execution: set a clear roadmap, prioritize work, remove blockers, and raise quality and reliability bar for codegen features (safety, correctness, performance). Partner with product, applied research, infra/SRE, security, and other engineering teams to ship end-to-end experiences that safely apply model outputs (PRs, CI checks, automated apply flows). Build and maintain robust evaluation and monitoring pipelines (offline and online) to measure model quality, drift, and downstream correctness of code changes. Own hiring, performance development, 1:1s, and career growth for your reports; grow a high-performing, inclusive team. Be accountable for production readiness: on-call expectations, postmortems, SLIs/SLOs, and operational playbooks for codegen services. Maintain engineering rigor around data pipelines, model inputs, determinism, reproducibility, and reproducible CI/CD for model + infra changes. Who You Are: Proven experience in software engineering and applied science, with a focus on engineering LLM-based systems in production Demonstrated experience managing small teams of software engineers and/or applied scientists, with a track record of delivering high-quality products Strong software development skills and proficiency in Python and Go Strong understanding of machine learning theory, statistics, and fundamentals Excellent communication abilities to convey complex technical concepts clearly A collaborative mindset and proven experience in working in cross-functional teams A proactive approach with a passion for continuous learning and innovation Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits & Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Engineering Manager role leading a team building LLM-powered natural language interfaces and conversational AI systems for querying telemetry data and configuring platforms. The position focuses on delivering high-quality NLQ, retrieval, and agentic AI capabilities, while driving evaluation, iteration, and operational excellence. It combines hands-on technical leadership with ownership of AI product delivery in a hybrid work environment. 🗂️ Requirements: Experience building and shipping LLM-powered products or conversational AI systems, Strong expertise in AI, Machine Learning, or NLP systems, Hands-on knowledge of LLMs, RAG, semantic search, or agentic systems, Experience designing evaluation pipelines for AI systems, Ability to balance accuracy, latency, cost, and safety in AI systems, Experience leading and mentoring engineers or applied scientists, Ability to collaborate with Product on ambiguous AI problems, Degree in Machine Learning, Computer Science, Engineering, or related field or equivalent experience 📃 Skills: Python, LLM, NLP, RAG, MachineLearning, DeepLearning, SemanticSearch, AgenticSystems, Evaluation 🏢 Description: Datadog's Applied AI group is building the AI capabilities that transform how users interact with our platform. Our Natural Language Query (NLQ) and Command-I (Cmd-I) teams are at the forefront of this transformation, enabling users to query telemetry data, investigate production issues, and configure Datadog through natural language and intelligent conversational agents. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists building natural language interfaces and conversational AI systems. Your teams will work on challenges spanning LLM-powered query translation, context-aware retrieval systems, agentic architectures, and evaluation frameworks. You will guide technical execution, support team growth, and collaborate across engineering, product, and research to deliver AI experiences that fundamentally change how customers use Datadog. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists building NLQ translation systems, conversational agents, or AI-powered interfaces Own the delivery of high-quality natural language capabilities, from semantic understanding and contextual retrieval to query generation and agentic reasoning Build products that create data flywheels: design systems that capture user intent and feedback to continuously improve model quality and train differentiating capabilities Drive evaluation and iteration practices for AI systems, including building offline and online evaluation pipelines to measure quality and detect drift Partner with product managers and cross-functional teams to expand AI capabilities across the Datadog platform Navigate the unique challenges of shipping LLM-powered products: balancing accuracy, latency, cost, and safety considerations Support career growth for engineers through coaching, feedback, and fostering a culture of experimentation, innovation, and learning Drive day-to-day execution and promote high standards for operational excellence, system reliability, and technical quality Participate in hiring and help shape the future team as the organization grows Contribute to cross-team collaboration and knowledge sharing across the broader AI organization Who You Are A technical leader with experience in AI, machine learning, or NLP systems Proven experience building and shipping LLM-powered products, conversational AI, or natural language interfaces A product builder who thinks beyond features, designing systems that generate data, learn from usage, and compound in value over time Experience leading and mentoring engineers; ready to grow into broader leadership responsibilities Strong technical expertise in one or more areas: large language models, retrieval-augmented generation (RAG), semantic search, agentic systems, deep learning, or NLP Comfortable working with Product to break down ambiguous problems, foster an experimental culture and iterate quickly on AI systems where quality is probabilistic Familiarity with evaluation methodologies for AI systems, both offline benchmarks and online metrics A people-focused manager able to develop and support strong engineering talent in a fast-moving domain BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one — that's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture with the ability to join Community Guilds (Datadog employee resource groups) Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Giving programs Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Engineering Manager role leading the Evaluation & Annotation team within an AI platform, focused on AI model evaluation, human annotation tooling, and synthetic dataset standards. The position combines technical leadership with hands-on engineering to build scalable AI infrastructure for training and inference. You will define technical roadmap, scale the team, and collaborate across AI, data, and infrastructure teams. 🗂️ Requirements: Experience leading software engineering teams, Strong backend engineering experience, Strong data engineering experience, Infrastructure engineering experience, Experience with AI model evaluation workflows, Experience designing data pipelines and storage systems, Hands-on coding and conducting code reviews, Ability to use and validate AI coding tools in development workflows 📃 Skills: AI, LLM, Backend, Data, Infrastructure, Evaluation, Annotation, Pipelines, Storage, Python, Git 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. As an engineering manager for the Evaluation & Annotation team, you’ll join a new and fast growing team and organization. You will support building and scaling the team, define our technical vision and help shape the roadmap. Your team will lead the charge on multiple critical technical challenges: AI model evaluation both offline and online, designing tooling and processes around human annotation, and establishing the standard around synthetics and AI generated datasets. You’ll work closely with sister teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org and with Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Manage and grow the Evaluation & Annotation team, directly managing 6-8 engineers Define our technical roadmap in alignment with AI platform goals and the Applied AI team roadmap. Work with our core platform teams to tailor Datadog's storage and data pipelines to our needs Create a strong team culture aligned with our engineering standards and our customer focus Participate in hands-on work: Code reviews, design reviews and some coding Who You Are: A Software Engineer at heart with a previous experience leading software engineering teams, as a tech lead or people manager Excellent leader with strong interpersonal skills, and the ability to build and lead high-performing teams Interested in working on an early stage project with many challenges to solve and a fast iteration cycle You build strong partnerships with cross-functional teams, including engineering, product, and science, and skillfully coordinate among multiple stakeholders You have a track record of delivering high-quality software on schedule and making decisions in ambiguous and fast-paced environments Strong technician with a mix of backend, data engineer and infrastructure experience who is interested in remaining a hands-on leader Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$187,000—$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Leadership role responsible for setting technical vision and delivering AI-powered products across the platform, from research and model development to production operations. The position oversees multiple teams building ML models, agentic systems, and conversational AI solutions at large scale. It combines hands-on AI expertise with organizational leadership to drive end-to-end AI strategy and operational excellence. 🗂️ Requirements: Strong background in AI, Machine Learning, or Data Science, Proven experience building and shipping ML or AI products in production, Experience leading multiple engineering and applied science teams, Deep expertise in LLMs, agentic systems, anomaly detection, time-series modeling, NLP, RAG, or ML infrastructure, Experience owning ML systems from data pipelines to deployment and operations, Ability to define technical strategy and partner with Product, BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field or equivalent experience 📃 Skills: MachineLearning, DataScience, LLMs, NLP, RAG, AnomalyDetection, TimeSeries, MLInfrastructure, ConversationalAI, AgenticSystems, DataPipelines, ModelTraining, ModelDeployment, MLOps 🏢 Description: Datadog's Applied AI group builds AI foundations and AI-powered features across the Datadog platform. We train ML models, build agents, and ship natural language interfaces that help thousands of customers detect problems, investigate incidents, and act on their infrastructure. Our teams work with some of the world's richest observability data, hundreds of trillions of data points per day, to build production AI at real scale. Our work spans ML models, agentic systems, conversational AI, foundation models, and the infrastructure that supports them. As a Manager II, you will lead multiple teams of engineers, applied scientists, and managers in this space. You own the technical direction and the team culture. You drive work from research through production, partner with product to set priorities, and help shape how Datadog uses AI to close the loop between detecting a problem and fixing it. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform Set technical vision and strategy for your area in partnership with Product Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities Build evaluation and quality practices for AI systems, offline benchmarks, online metrics, and continuous improvement loops Own operational excellence for your teams' systems: reliability, on-call, incident response, and technical quality Hire and plan for organizational growth as the AI group scales Help shape Datadog's broader AI roadmap and promote best practices in ML engineering and career development across the organization Who You Are: An experienced technical leader with a strong background in AI, machine learning, or data science Proven track record building and shipping ML or AI-powered products in production Experience leading and mentoring multiple teams, including senior engineers and engineering managers Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure Comfortable partnering with Product to set vision and strategy, and turning ambiguous problems into clear plans A strong people manager who can attract, develop, and retain top AI and engineering talent BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Giving programs Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.