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The Behavior AI team builds the AI-based anomaly detection behind Datadog's security products. Our models learn what normal looks like across the billions of logs, events, and telemetry records flowing through the platform every second, and they flag the behavior that does not fit, on every record, in real time, at a cost that makes sense at our scale. What we build does not ship to a single feature. The same models power detection across many of Datadog's security products at once, so the work has impact well beyond any one team. Large general-purpose models are too slow and too expensive to run in that path, so we take the opposite approach: small, custom models, designed for high-throughput stream processing and optimized to run cheaply on every record. We are hiring a Senior Applied Scientist to build these models from start to finish. You will contribute to designing the architecture, training at scale, and the optimization work that takes a model from training to running efficiently on production traffic. This optimization requires a deep understanding of the constraints imposed by both the software and the hardware, together with the applied mathematics to work within them: often it comes down to finding a mathematical reformulation that fits those constraints better, and that judgment can decide whether a model reaches production at all. The work involves a number of open questions. How do you obtain most of the quality of a large model from one that is far smaller and cheap enough to run on the full stream? Where is it worth trading exactness for speed, and how do you reason about the error you accept? How do you make a small model's outputs clear enough that the detection engineers and analysts who rely on it can trust what it reports? If these are the problems you want to work on, we would like to hear from you. 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: Design and build custom mid-size models for high-throughput stream processing, and train them at scale. Optimize these models from start to finish, working across both the mathematics and the systems, often by finding mathematical reformulations that fit the hardware and software constraints better. Build the training data pipelines the work depends on when they do not already exist, from the raw stream to a training-ready dataset. Work with engineering to integrate models into production, with a clear focus on GPU utilization, latency, and cost per record on live traffic. Plan the roadmap of model and system improvements, based on a solid understanding of the product and of what matters most to users. Build an agentic layer on top of the models to analyze, validate, and act on their outputs. Build lightweight interpretability tools that make model behavior easier to explain to the people who rely on it. Maintain and monitor the models, services, and infrastructure your team owns, and take part in your team's on-call rotation. Who You Are: You have a BS/MS/PhD in Computer Science, Engineering, Machine Learning, Applied Mathematics, or a related scientific field, or equivalent experience. You have hands-on experience training and fine-tuning models at scale, and deploying them into production systems with real throughput and cost constraints. You have a working knowledge of how GPUs work, and a track record of making models run efficiently within real hardware constraints. You have strong applied-mathematics fundamentals and reach for them naturally when designing and optimizing models. You have a real passion for applied mathematics, software design, and implementation. This role sits at the intersection of the three, and it is a requirement for the position. You care about code simplicity and performance, and you can build the data pipelines and the surrounding production code, in addition to the models themselves. You can explain complex ideas and trade-offs clearly to engineers and product partners, and you let a solid understanding of the product guide what you build next. Bonus: experience with efficient sequence architectures, model interpretability, or large-scale streaming systems. 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 Opportunity to attend and present at conferences and meetups, and to publish your work Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) 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. About Datadog, Equal Opportunity, and Privacy and AI Guidelines boilerplate is appended automatically by the applicant tracking system. Add Datadog's current standard blocks before publishing. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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 .

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on AI-accelerated workflows and next-generation developer ecosystems, you will have the opportunity to meet fast-moving teams where they are, helping them lay strong engineering foundations and broadening your impact to the developer community at large. This is a unique opportunity to use both your engineering depth and authentic storytelling skills to shape how the next wave of builders approach software health, scalability, and observability. What You’ll Do: Help developers hone their craft in an AI-accelerated world by exploring how AI coding assistants and rapid-prototyping tools change software workflows, and guiding teams on how to balance rapid prototyping with established engineering practices around performance, code health, and system reliability. Build in public by creating authentic, peer-to-peer technical content, sharing your engineering insights directly where modern developers collaborate in person and online. Drive a constructive, bidirectional feedback loop between fast-moving developer communities and our internal teams, translating real-world developer experiences into actionable product insights to shape our roadmap while advocating for user needs from the inside. Design and ship high-quality open-source boilerplate templates, quickstarts, and tools that make integrating observability seamless across AI native workflows, next-gen platforms (Vercel, Supabase, etc.), and cloud providers (AWS, GCP, Azure). Who You Are: A builder with approximately 10+ years of software engineering experience, ideally having shipped applications from scratch or worked within an early-stage startup environment where you've worn multiple hats. An AI-fluent developer who natively leverages AI coding assistants and rapid-prototyping tools as a core part of your regular, day-to-day development workflow. Multi-stack familiar, comfortable writing and debugging code across multiple programming languages (such as JavaScript/TypeScript or Python) and experienced with deployment paradigms spanning next-gen platforms and traditional cloud ecosystems. An authentic communicator with approximately 3+ years of experience in technical storytelling and community engagement, backed by a publicly available portfolio of peer-to-peer artifacts like GitHub repositories, technical blogs, video walkthroughs, or public speaking presentations. A forward thinker who loves self-driven exploration of emerging technologies, and is deeply passionate about developer education, mentorship, and helping other engineers hone their craft. Bonus points: Active community presence or leadership: You are an active participant, contributor, or moderator in developer spaces (such as meetups, Discord, Reddit, or open-source ecosystems focused on next-gen tech). 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-Remote 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: $172,000 — $215,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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 .

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on AI-accelerated workflows and next-generation developer ecosystems, you will have the opportunity to meet fast-moving teams where they are, helping them lay strong engineering foundations and broadening your impact to the developer community at large. This is a unique opportunity to use both your engineering depth and authentic storytelling skills to shape how the next wave of builders approach software health, scalability, and observability. What You’ll Do: Help developers hone their craft in an AI-accelerated world by exploring how AI coding assistants and rapid-prototyping tools change software workflows, and guiding teams on how to balance rapid prototyping with established engineering practices around performance, code health, and system reliability. Build in public by creating authentic, peer-to-peer technical content, sharing your engineering insights directly where modern developers collaborate in person and online. Drive a constructive, bidirectional feedback loop between fast-moving developer communities and our internal teams, translating real-world developer experiences into actionable product insights to shape our roadmap while advocating for user needs from the inside. Design and ship high-quality open-source boilerplate templates, quickstarts, and tools that make integrating observability seamless across AI native workflows, next-gen platforms (Vercel, Supabase, etc.), and cloud providers (AWS, GCP, Azure). Who You Are: A builder with approximately 10+ years of software engineering experience, ideally having shipped applications from scratch or worked within an early-stage startup environment where you've worn multiple hats. An AI-fluent developer who natively leverages AI coding assistants and rapid-prototyping tools as a core part of your regular, day-to-day development workflow. Multi-stack familiar, comfortable writing and debugging code across multiple programming languages (such as JavaScript/TypeScript or Python) and experienced with deployment paradigms spanning next-gen platforms and traditional cloud ecosystems. An authentic communicator with approximately 3+ years of experience in technical storytelling and community engagement, backed by a publicly available portfolio of peer-to-peer artifacts like GitHub repositories, technical blogs, video walkthroughs, or public speaking presentations. A forward thinker who loves self-driven exploration of emerging technologies, and is deeply passionate about developer education, mentorship, and helping other engineers hone their craft. Bonus points: Active community presence or leadership: You are an active participant, contributor, or moderator in developer spaces (such as meetups, Discord, Reddit, or open-source ecosystems focused on next-gen tech). 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-Remote 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: $172,000 — $215,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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 .

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on AI-accelerated workflows and next-generation developer ecosystems, you will have the opportunity to meet fast-moving teams where they are, helping them lay strong engineering foundations and broadening your impact to the developer community at large. This is a unique opportunity to use both your engineering depth and authentic storytelling skills to shape how the next wave of builders approach software health, scalability, and observability. What You’ll Do: Help developers hone their craft in an AI-accelerated world by exploring how AI coding assistants and rapid-prototyping tools change software workflows, and guiding teams on how to balance rapid prototyping with established engineering practices around performance, code health, and system reliability. Build in public by creating authentic, peer-to-peer technical content, sharing your engineering insights directly where modern developers collaborate in person and online. Drive a constructive, bidirectional feedback loop between fast-moving developer communities and our internal teams, translating real-world developer experiences into actionable product insights to shape our roadmap while advocating for user needs from the inside. Design and ship high-quality open-source boilerplate templates, quickstarts, and tools that make integrating observability seamless across AI native workflows, next-gen platforms (Vercel, Supabase, etc.), and cloud providers (AWS, GCP, Azure). Who You Are: A builder with approximately 10+ years of software engineering experience, ideally having shipped applications from scratch or worked within an early-stage startup environment where you've worn multiple hats. An AI-fluent developer who natively leverages AI coding assistants and rapid-prototyping tools as a core part of your regular, day-to-day development workflow. Multi-stack familiar, comfortable writing and debugging code across multiple programming languages (such as JavaScript/TypeScript or Python) and experienced with deployment paradigms spanning next-gen platforms and traditional cloud ecosystems. An authentic communicator with approximately 3+ years of experience in technical storytelling and community engagement, backed by a publicly available portfolio of peer-to-peer artifacts like GitHub repositories, technical blogs, video walkthroughs, or public speaking presentations. A forward thinker who loves self-driven exploration of emerging technologies, and is deeply passionate about developer education, mentorship, and helping other engineers hone their craft. Bonus points: Active community presence or leadership: You are an active participant, contributor, or moderator in developer spaces (such as meetups, Discord, Reddit, or open-source ecosystems focused on next-gen tech). 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-Remote 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: $172,000 — $215,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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 .

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on AI-accelerated workflows and next-generation developer ecosystems, you will have the opportunity to meet fast-moving teams where they are, helping them lay strong engineering foundations and broadening your impact to the developer community at large. This is a unique opportunity to use both your engineering depth and authentic storytelling skills to shape how the next wave of builders approach software health, scalability, and observability. What You’ll Do: Help developers hone their craft in an AI-accelerated world by exploring how AI coding assistants and rapid-prototyping tools change software workflows, and guiding teams on how to balance rapid prototyping with established engineering practices around performance, code health, and system reliability. Build in public by creating authentic, peer-to-peer technical content, sharing your engineering insights directly where modern developers collaborate in person and online. Drive a constructive, bidirectional feedback loop between fast-moving developer communities and our internal teams, translating real-world developer experiences into actionable product insights to shape our roadmap while advocating for user needs from the inside. Design and ship high-quality open-source boilerplate templates, quickstarts, and tools that make integrating observability seamless across AI native workflows, next-gen platforms (Vercel, Supabase, etc.), and cloud providers (AWS, GCP, Azure). Who You Are: A builder with approximately 10+ years of software engineering experience, ideally having shipped applications from scratch or worked within an early-stage startup environment where you've worn multiple hats. An AI-fluent developer who natively leverages AI coding assistants and rapid-prototyping tools as a core part of your regular, day-to-day development workflow. Multi-stack familiar, comfortable writing and debugging code across multiple programming languages (such as JavaScript/TypeScript or Python) and experienced with deployment paradigms spanning next-gen platforms and traditional cloud ecosystems. An authentic communicator with approximately 3+ years of experience in technical storytelling and community engagement, backed by a publicly available portfolio of peer-to-peer artifacts like GitHub repositories, technical blogs, video walkthroughs, or public speaking presentations. A forward thinker who loves self-driven exploration of emerging technologies, and is deeply passionate about developer education, mentorship, and helping other engineers hone their craft. Bonus points: Active community presence or leadership: You are an active participant, contributor, or moderator in developer spaces (such as meetups, Discord, Reddit, or open-source ecosystems focused on next-gen tech). 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-Remote 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: $172,000 — $215,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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 .

As a Platform Security Engineer you will partner with different stakeholders across the organization to secure our infrastructure and application components of the Datadog platform. As part of the Platform Security organization we secure the building blocks of Datadog’s applications and infrastructure. We do this by building solutions solving systemic risks making the secure path easier and the insecure path harder. 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: Solve our most challenging cloud infrastructure security & application security problems starting with our core building blocks and golden paths. Enable our engineers to build and ship secure solutions quickly. Build and extend Datadog’s Platform Security solutions. Leverage and influence the direction of Datadog’s products to secure our infrastructure, and provide internal feedback that enables our teams to improve the products for ourselves and our customers. Who You Are: You have a BS /MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience. You don’t want to just provide security recommendations, you want to help implement solutions to solve systemic issues. Passionate about advocating for and implementing solutions to complex security problems, at-scale, in a large multi-cloud self-managed Kubernetes environment. Proven experience in securing enterprise SaaS applications including securing the underlying authentication flows, authorization patterns, and input validation at API boundaries. Demonstrated experience in securing the deployment & management mechanisms for software and infrastructure changes. Familiarity with common security frameworks such as OWASP , MITRE ATT&CK , PASTA/STRIDE, CIS , etc. You have prior experience in Software Engineering, Platform Engineering, Systems Engineering, Network Engineering, Cloud Security or Application Security. Software engineering background with hands-on code review experience; Go, Python, or Rust Experience with one or more Kubernetes PKI & network technologies (Consul, Envoy, Cillium, Vault, Istio, etc.). Experience with one of the major cloud providers (AWS, Azure, GCP) and Kubernetes. Able to work both independently and collaboratively, willing to work in a fast paced, high growth environment. You stay updated with modern security best practices, technologies and emerging threats. 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-Hybrid 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 is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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 .

Datadog Incident Response is an end-to-end incident operations solution native to Datadog’s unified observability and security platform. It brings the entire incident lifecycle — from alert to resolution — together in one place so engineers can respond fast with confidence instead of losing time switching between disconnected monitoring, paging, and incident tools. As a Senior Product Marketing Manager (PMM) - Incident Response, you will develop go-to-market strategy for new products and features, create the content that enables our sales and partner teams, and touch on all areas of the business while helping move Datadog forward. We give our Product Marketing Managers the opportunity to collaborate, investigate, and idealize how we can gear our product strategy to yield the highest results. 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: Develop and drive the go-to-market strategy for Datadog Incident Response products, such as Incident Management, On-Call, and Incident AI as an expert of your product area. Create quarterly GTM plans with input and alignment from from cross-functional stakeholders that map to Incident Response business objectives. Launch new features with compelling messaging and positioning, developing assets such as slide decks, blogs, product demos, webinars, and solution briefs. Develop high-impact sales enablement assets (battlecards, pitch decks, demos) grounded in deep market and competitive insights. Partner with cross-functional teams to execute campaigns across webinars, paid media, organic channels, and sponsored events. Drive customer marketing initiatives including case studies, testimonials, and storytelling that showcase customer value and outcomes. Identify new growth opportunities and creative ways to accelerate adoption and expansion of Incident Response products. Who You Are: Experienced in product marketing, go-to-market strategy, or related roles (typically 5+ years) marketing highly technical products Comfortable operating in a fast-paced, cross-functional environment with stakeholders across Product Management, Sales, Marketing, and Enablement Strong problem solver who can identify gaps, propose solutions, and operationalize them into scalable programs Strong written and verbal communicator with experience creating compelling content and delivering presentations A proactive self-starter who takes ownership and drives projects from idea to execution Able to balance strategic thinking with hands-on execution Passionate about technology, with a solid understanding of modern engineering workflows, operational practices, and the tools/ processes teams commonly use to build, operate, and troubleshoot their systems Bonus Points: Domain expertise in Incident Response, Incident Management, On-Call, Service Management, ITSM, or Observability. Experience marketing highly technical products to Developers, SREs, and IT decision-makers. 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: 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-Hybrid 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: $154,000 — $205,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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 .

Field CTOはDatadogの社内プロダクトエキスパートとして、Technical Solutions（TS）チームを通じて、見込み顧客への提案活動および既存顧客の成功支援を行い、Datadogのグローバルな成長を支えています。 Field CTOは、Product Solutions Architecture（PSA）組織の一員として、技術的な知見をもとにお客様の経営層や意思決定者に対する信頼できるアドバイザーとして活動します。お客様のビジネス目標とDatadogのプロダクト戦略を結びつけ、デジタルトランスフォーメーションの推進と、双方にとっての持続的な成長の実現に貢献します。 Datadogのさらなる事業拡大に伴い、日本市場全体のGo-To-Market（GTM）における技術戦略をリードするField CTOポジションを新設します。本ポジションでは、業界におけるリーダーシップの確立（対外発信・エバンジェリズム）、中長期的な戦略的価値提案の推進、ならびに市場におけるプレゼンスの拡大を担っていただきます。 Datadogでは、オフィスカルチャーを大切にしています。オフィスで築かれる人間関係やコラボレーション、そしてそこから生まれる創造性に価値を置いています。当社はハイブリッドワーク体制を採用しており、Datadogの社員一人ひとりが自分に最適なワークライフバランスを実現できるようにしています。 What You’ll Do: C-Level: CIO／CTO／CEO／CISOレベルの顧客および見込み顧客のエグゼクティブに対し、戦略的なアドバイザーとして、オブザーバビリティの導入プロセス、投資判断、運用定着に至るまでを戦略的に支援する。 GTM: 顧客とのエンゲージメントを通じて、業界特有のトレンドやその影響・可能性を特定し、Product、GTM、BVA、Architectureチームに対してトップ・オブ・ファネル創出に貢献します。Product SAおよびProduct Managementと連携し、業界向けソリューションを共同で創出します。 Leadership: Datadogプラットフォームの価値を体現するとともに、オブザーバビリティおよびセキュリティ分野におけるソートリーダーシップを発揮します。高度なソリューション、業界のベストプラクティス、大規模環境における優れた可視性と管理を提供する当社の取り組みを強調します。 Advisory: ROI（投資対効果）、価値実現、ホワイトスペース分析に関して、Salesリーダーおよび顧客・見込み顧客のエグゼクティブにとって信頼できるアドバイザーとなります。専門とする業界領域において、個別顧客の案件戦略および導入戦略を支援します。 Collaboration: Product Solutions Architecture（PSA）、Sales、Sales Engineering、Marketingと連携し、実務担当者および経済的意思決定者を含む幅広いオーディエンスに対して、質の高い技術的支援を提供する。 Presentations: 戦略的顧客のニーズにDatadogがどのように応えるかを示すため、アーキテクチャおよびデザインに関するエンゲージメントを主導します。また、DatadogのExecutive Briefing Center（EBC）において、著名な顧客や見込み顧客とともに、全体アーキテクチャ、オブザーバビリティのベストプラクティス、業界トレンドに関するエグゼクティブ向けブリーフィングに参加します。 Hiring: Product Solutions ArchitectureおよびField CTOチームにおける優秀な人材の採用活動において、リーダーシップを支援します。 Who You Are 業界経験: エンタープライズアーキテクチャ、または大規模なアプリケーションアーキテクチャ分野で15年以上の豊富な経験を有し、実際のユースケースに基づいてアーキテクチャを設計・適用できる能力を持つこと。加えて、日本市場の顧客におけるオブザーバビリティ領域、クラウド、および技術変革に関する深い知見を有すること。 戦略的思考力: 多様な技術的およびビジネス上の課題に対して、長期的かつ創造的に思考できる能力。 ステークホルダーマネジメント: 大規模エンタープライズ組織において、VP以上およびCレベルの主要ステークホルダーと対話し、影響力を発揮してきた経験。 テクノロジスト: 高い技術力を備えたハンズオン型のリーダーとして、組織内のあらゆる階層と信頼関係を構築できる方。 プレゼンテーション能力: 多数の参加者を前にした顧客向けプレゼンテーションに優れ、複雑な技術的詳細の説明から、エグゼクティブや非技術系の関係者向けブリーフィングまで、幅広く対応できること。 コミュニケーション能力: 優れた口頭および文書によるコミュニケーション能力を有し、製品機能をビジネス目標、価値創出、ROI（投資対効果）と結び付けて説明できること。 学歴: 工学系または関連分野の学士号必須、修士号が望ましい。 語学力: 日本語ネイティブレベル、かつ高い英語力（口頭・文書ともに）を有すること Datadogは、さまざまな立場の人々を大切にしています。誰もが初日から上記の資格をすべて満たすわけではないことは理解しています。現時点で全て満たしていなくても構いません。テクノロジーに情熱を持ち、スキルを伸ばしたいと思っている方は、ぜひご応募ください。 Benefits and Growth: 業界最高水準のオンボーディングプログラム 充実したグローバル福利厚生制度 社内ネットワーク構築のためのメンターおよびバディ制度 新入社員への株式付与（RSU）および従業員株式購入制度（ESPP） 継続的な専門能力開発、製品トレーニング、キャリアパスの提供 インクルーシブな企業文化、コミュニティ・ギルドへの参加機会 幅広く手厚い医療関連の福利厚生制度 企業型確定拠出年金（401K） 上記の内容は、就業する国やDatadogでの雇用内容によって異なる場合があります。 About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. 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 .