Senior Product Manager - Code Security

🏢 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: Lead and scale a security engineering team responsible for end-to-end vulnerability management across the software lifecycle, from source code to production. Drive automation and an AI-first approach to reduce vulnerability risk, improve remediation efficiency, and enhance lifecycle metrics and reporting. Partner cross-functionally to shift security left and ensure compliance with major regulatory frameworks. 🗂️ Requirements: Experience in vulnerability management or cloud security posture management, Experience managing and mentoring security engineering teams, Proven cross-functional collaboration with security, engineering, and product teams, Experience with secure SDLC practices, Proficiency in at least one programming language (Golang, Python, or Java), Experience with compliance frameworks (SOC2, HIPAA, PCI, FedRAMP, ISO), Ability to work on ITAR-controlled projects (U.S. person), Degree in Computer Science, Engineering, or related field (or equivalent experience) 📃 Skills: Golang, Python, Java, AI, Automation, SDLC, Cloud, Security, SOC2, HIPAA, PCI, FedRAMP, ISO, ITAR, Metrics, Compliance 🏢 Description: Here at Datadog, we think about Vulnerability Management a little bit differently. We embrace open source software, and recognize our role in the software supply chain. We also see how attackers are weaponizing vulnerabilities faster than ever before. That’s why we’re looking for a Security Engineering Manager who can help us scale and improve our overall vulnerability management lifecycle, and take an AI-first approach to addressing vulnerability risk. 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, mentor, and grow a team of security engineers responsible for vulnerability management across Datadog’s internal environment, from source code to production. Work with critical partners like SDLC Security, Product Security, and a wide range of engineering teams to “shift left” and reduce upstream vulnerabilities entering our ecosystem. Reduce engineering toil related to vulnerability remediation through a “PRs, not tickets” approach. Improve the efficiency of our overall vulnerability management lifecycle through thoughtful use of automation and AI. Develop metrics and reporting to provide leadership with an accurate view of overall vulnerability risk. Provide evidence and subject matter expertise for vulnerability management processes and controls for multiple compliance frameworks (SOC2, HIPAA, PCI, FedRAMP, ISO) Who You Are: You have experience with vulnerability management or similar domains like cloud security posture management, SDLC management, etc. You have excellent leadership, mentorship, and coaching skills, with the ability to foster a high-performing security team for a large software ecosystem You have strong communication skills, with the ability to convey technical information clearly and effectively to both technical and non-technical stakeholders. You have a proven track record of managing cross-functional collaboration between security, engineering, and product teams. You are experienced in one or more programming languages (Golang, Python, Java, etc.) You are a U.S. person and able to work on ITAR-controlled projects You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent 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 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: 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: Leadership role responsible for defining and executing the product vision and strategy for Containers and Kubernetes observability within a large-scale SaaS platform. The position oversees a team of product managers and drives AI-powered capabilities to help customers operate, secure, and optimize containerized environments. Focused on building scalable, integrated platform features deeply connected with metrics, logs, traces, security, and CI/CD workflows. 🗂️ Requirements: 8+ years B2B SaaS product management experience, 2+ years managing product managers, Deep expertise in containers and Kubernetes ecosystems, Experience building AI/ML-powered product features, Strong technical background working with large-scale data systems, Experience with observability or infrastructure platforms, Experience building platform or shared infrastructure products, Ability to collaborate closely with engineering on scalable systems 📃 Skills: Kubernetes, Containers, Observability, AI, MachineLearning, Telemetry, CI/CD, Metrics, Logs, Tracing, Security, SaaS, Cloud, Infrastructure 🏢 Description: At 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 massive scale—trillions of data points per day—enabling seamless collaboration and problem-solving across Dev, Ops, and Security teams for tens of thousands of customers worldwide. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Containers product group sits at the core of Datadog’s Infrastructure business and powers a significant portion of Datadog’s revenue. As modern infrastructure continues to shift toward Kubernetes and containerized workloads, this group is responsible for helping customers operate, secure, and optimize their most critical production environments—reliably and at scale. In this role, you will define the long-term vision and strategy for Datadog’s Containers & Live processes products, spanning Kubernetes observability, container runtime visibility, workload health, and the operational workflows that infrastructure teams rely on every day. You will lead a team of product managers building foundational platform capabilities used by thousands of customers running mission-critical workloads 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: Lead and grow a team of product managers responsible for Datadog’s Containers and Kubernetes product portfolio. Own the product vision, roadmap, and execution for containers observability, ensuring the products continue to drive meaningful customer value and significant Infra revenue. Define and drive the next generation of Containers products by applying AI and machine learning to help customers understand, operate, and troubleshoot complex containerized systems automatically. Co-define and build the next generation of containers and Kubernetes capabilities as part of the Datadog unified platform, deeply integrated with metrics, logs, traces, security, and CI/CD workflows. Partner closely with engineering leadership to deliver platform-level capabilities that scale across products and customers. Collaborate with other Datadog product teams (APM, Logs, Network, Cloud, Security, Serverless) to improve cross-product workflows and help customers troubleshoot faster and operate with confidence. Work with go-to-market, sales, customer success, and support teams to shape positioning, packaging, and launch strategies for new Containers features. Represent Containers product strategy internally and externally, helping align leadership around priorities and long-term bets. Who You Are: Experience: 8+ years of B2B SaaS product management experience, with 2+ years managing and developing a team of product managers. Domain Expertise: Deep familiarity with containers and Kubernetes ecosystems, including how modern infrastructure teams build, deploy, and operate production workloads. Leadership: Proven ability to hire, mentor, and scale high-performing product teams while setting clear direction and expectations. Customer Partnership: Experience working closely with enterprise customers operating complex, large-scale infrastructure. Technical Credibility: Strong technical background that enables effective collaboration with senior engineers and earns trust with highly technical customers.AI Product Fluency: Experience incorporating AI or machine learning into customer-facing products, or strong intuition for where AI can meaningfully improve workflows, decision-making, and automation for infrastructure teams. Data & Systems Thinking: Comfort working with large-scale data systems and understanding how telemetry, signals, and models can be combined to generate actionable insights. Platform Thinking: Experience building foundational platform products or shared infrastructure that supports multiple use cases and teams. Product Craft: Strong track record of shipping impactful products by working closely with design and engineering, balancing usability, performance, scale, and trust. Cross-Functional Influence: Ability to lead complex, cross-team initiatives and align stakeholders across product, engineering, data, and go-to-market functions. Datadog values people from all walks of life. We know 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 experience, 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 Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring 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: 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 and grow the Source Security team, driving the roadmap for securing code contributions through static analysis and LLM-based review systems. The role combines hands-on technical work with team leadership to ensure secure source code management, CI environments, and scalable supply chain security. You will collaborate cross-functionally to embed robust security controls into development workflows and coding agent ecosystems. 🗂️ Requirements: Experience managing distributed engineering teams, Proficiency in modern programming languages (Python, Go, or JavaScript), Experience with continuous security scanning and SAST rule tuning, Experience with LLM-based coding tools, Experience with source code management platforms, Experience integrating security into CI pipelines, Ability to contribute hands-on to security engineering initiatives, Experience with incident response and on-call processes 📃 Skills: Python, Go, JavaScript, SAST, LLM, GitHub, GitLab, CI, DevSecOps, Fuzzing, Sandboxing, DevOps, SCM 🏢 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 a 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 We are looking for a manager to lead the Source Security team within our broader SDLC Security org. This team is responsible for evaluating the security properties of every single commit at Datadog using a combination of static analysis and LLM based review systems, as well as the governance of our source code and third party dependency ecosystem. You will own the roadmap for growing our existing agentic reviewers (you can read more about this work here and here), working to maintain the safety and reliability of our systems while the volume of contributions scales dramatically with our adoption of coding agents. You’ll partner with our developer experience organizations on securing our source code and CI environments, and our product teams on making sure that our security controls scale and that the best practices we develop internally are reflected for our customers as well. You’ll join at an ideal time to make a big impact as the need for robust supply chain security is higher than it’s ever been. Datadog as a platform is growing fast and is used very widely, and the continued and exciting expansion of our product portfolio requires agile thinkers with a deep grounding in security fundamentals. 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 small team, working as a hands on technical contributor while building out the roadmap for evaluating the safety of coding agent output using a combination of static analysis and LLM evaluations. Partner with our Developer Experience teams on the configuration of our source code management solutions, ensuring secure guardrails are in place by default. Explore solutions in the coding agent security space such as sandboxing and hook based monitors. Guide and mentor a team of security and software engineers, emphasizing career development, inclusivity, and high performance. Take a pragmatic, risk-based approach to complex technical problems and work with your team to produce well-defined and actionable plans. Balance your time between management and hands-on technical work. Participate in Datadog’s oncall and incident response efforts. Have a direct impact on users and the overall trust of our platform. Who You Are: Experienced managing an engineering team distributed across multiple timezones. Fluent in one or more modern coding languages (Python, Go, JavaScript, etc.) Familiar with continuous security scanning and fine-tuning SAST rules and methodology, as well as AI based coding tools such as Claude, Codex, and Cursor Familiar with Github, Gitlab, or other modern source code management and CI solutions You are able to work closely with engineering and DevOps teams to integrate security seamlessly into the development process. An excellent communicator and collaborator, able to work effectively through complex technical problems with a diverse group of stakeholders. Comfortable working in a fast paced, high growth environment, and able to adapt strategies and solutions in response to emerging challenges and opportunities. Bonus Points: Passionate about building products that engineers love and believe in the true outcome of DevSecOps Familiar with formal verification, fuzzing, or code correctness methodologies Experience productionizing LLM based or agentic workflows Familiar with product workflows, and building security into the user 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 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:$240,000—$305,000 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 role focused on building and scaling a unified Cloud Detection & Response (CDR) experience within a cloud security platform. The position drives the roadmap for threat detection, investigation, and response by unifying security telemetry and observability data into a cohesive workflow for security teams. You will translate threat intelligence and SOC workflows into product requirements and lead cross-functional delivery to drive adoption and revenue growth. 🗂️ Requirements: 3+ years experience in enterprise software, Security domain experience, Understanding of SOC analyst and incident responder workflows, Experience with cloud threat detection and response concepts, Ability to translate threat intelligence into product requirements, Experience working with engineering teams on technical products, Regular use of LLM-based tools for documentation and analysis 📃 Skills: Cloud, SIEM, CDR, APM, Telemetry, Security, SOC, LLM, Claude, Cursor 🏢 Description: As a Product Manager for Cloud Detection & Response (CDR) you'll be responsible for building a unified threat detection, investigation, and response experience for Datadog's Cloud Security Management product. Datadog already provides deep security telemetry through Cloud SIEM, Workload Protection, and Cloud Security. CDR brings these signals together with Datadog's observability platform, including APM traces, infrastructure metrics, and logs, to give security teams a single, context-rich workflow for detecting and responding to cloud threats. You will partner with engineers, designers, and go-to-market teams to define this new product area and drive customer adoption and revenue growth. 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 build the roadmap for the core experience of cloud threat detection, investigation, and response within Cloud Security Management. Work closely with executives, marketing, sales, PR, design, and support teams to successfully bring new products and features to market. Develop a deep understanding of the market landscape and identify key areas of competitive differentiation and market disruption. Maintain and report to product leadership on key metrics regarding revenue growth and customer adoption. Work with engineers to build CDR capabilities that unify and extend Datadog's existing security products, including Cloud SIEM, Workload Protection, and Cloud Security, into a cohesive detection and response experience. Partner with security researchers and detection engineers to translate attacker techniques and threat intelligence into product requirements. Work with product designers to create investigation and response experiences that delight security operations teams. Who You Are: Minimum 3+ years in enterprise software, with a preference for security background. Committed to high-quality products and customer satisfaction. Excellent verbal and written communication, capable of presenting ideas to technical and executive stakeholders. Prior engineering experience or deep understanding of SOC analyst and incident responder workflows, including triage, investigation, and containment. Regularly uses LLM-based tools like Claude Code and Cursor to accelerate your work, from drafting PRDs and analyzing data to researching markets and prototyping ideas. Driven to build and scale new products in a high-growth environment. Demonstrates strong ownership, data-driven problem-solving, and prioritization skills. 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:$155,000—$195,000 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: Leadership role responsible for defining and delivering AI-driven product strategy and roadmap, including embedded and standalone AI capabilities. The position leads a team of product managers and collaborates cross-functionally to build scalable AI observability and security solutions. Focused on driving innovation, data-driven decision-making, and measurable business impact through AI products. 🗂️ Requirements: Proven experience in AI product management, Track record of delivering AI-driven products, Deep knowledge of AI and machine learning, Strong understanding of data science concepts, Experience leading and mentoring product managers, Experience managing complex product roadmaps, Experience collaborating with engineering and data science teams, Ability to drive data-driven product strategy, Experience managing large-scale AI initiatives 📃 Skills: AI, MachineLearning, DataScience, Analytics, Observability, Security, SaaS, ProductManagement, Roadmapping 🏢 Description: The Applied AI Products organization at Datadog is responsible for delivering AI-driven solutions that power the next generation of our product offerings. We are looking for a Director of Product Management to lead and shape the roadmap and delivery of AI-driven product capabilities at Datadog. In this role, you will bring a combination of technical expertise, product management experience, and an understanding of AI technologies to help position Datadog as a leader in the AI observability and security space. You will lead a team of product managers and collaborate with senior leadership in engineering and design. 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 the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. Identify new opportunities for AI product innovation and drive them from concept to execution, ensuring they have a measurable impact on our customers and the business. Work closely with customers and stakeholders to deeply understand their pain points, ensuring that AI solutions are delivering tangible value and solving real-world problems. Define AI product roadmaps and manage the prioritization of features and initiatives to ensure the team’s efforts are aligned with business goals. Drive a culture of data-driven decision-making by working closely with data science and analytics teams to inform product strategy and validate assumptions. Promote a product-first mindset across the organization, ensuring that the user experience and business value are central to every product decision. Foster a culture of innovation and excellence in AI product development, ensuring that Datadog remains a leader in AI-powered observability and security solutions. Who You Are: You have proven experience in AI product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions. You have deep technical knowledge of AI technologies and a strong understanding of machine learning, data science, and related fields, with the ability to translate these capabilities into compelling product experiences. You have successfully led product teams, including mentoring and developing product managers, while balancing the need for leadership and hands-on execution. You are skilled at prioritizing and delivering complex product roadmaps, balancing short-term needs with long-term strategic goals. You are experienced in collaborating with cross-functional teams, including engineering, design, data science, and business stakeholders, to deliver high-impact AI products. You have a customer-first mindset, always striving to understand and solve customer pain points through innovative AI-driven solutions. You are a strong communicator and influencer, capable of building relationships with senior leadership, engineering teams, and external stakeholders to drive alignment and move initiatives forward. You have a proven ability to manage large-scale AI product initiatives, balancing technical feasibility, user experience, and business impact. If you’re passionate about shaping the future of AI products and driving innovation at scale, we’d love to hear from you! Datadog values people from all walks of life. We know 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 experience, 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 Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring 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.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:$300,000—$385,000 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 security-focused team to protect users and platform integrity through scalable, data-driven solutions. The position combines people management with hands-on technical work, driving the security roadmap and incident response in a high-growth, interactive environment. You will collaborate cross-functionally to build proactive trust and safety mechanisms into the product. 🗂️ Requirements: Experience managing distributed engineering teams, Proficiency in at least one modern programming language, Experience in security engineering or threat detection domains, Ability to drive technical roadmap and architecture decisions, Hands-on experience with incident response, Experience integrating security into product workflows, Ability to work in fast-paced, high-growth environments 📃 Skills: Python, Go, JavaScript, Security, ThreatDetection, IncidentResponse, DataScience, Privacy, Cloud, SaaS 🏢 Description: User safety and platform integrity is critical to our business. Our customer’s success is our success. We’re looking for an Engineering Manager to join us in taking a proactive, highly scalable, and data-centric approach to enabling a safe and trustworthy experience for the users of our rapidly growing and increasingly interactive platform. You’ll lead a team charged with protecting against threats to our users, platform abuse, and other potentially risky and unwanted behaviors on our platform. Our team covers a broad range of trust and safety related topics from threat detection, security research, engineering, incident response, data science, user engagement, privacy, and bridging gaps between security and the broader Datadog business. You will bring expertise in a few of these areas. You’ll manage a growing security team at an ideal time for making a big impact. The product is seeing very high growth, with the platform becoming more interactive and new products and features developed regularly. 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: Guide and mentor a team of 4+ security and software engineers, emphasizing career development, inclusivity, and high performance. Drive the technical roadmap in collaboration with your team, product management, and other engineering teams to align our work with company-wide security objectives. Take a pragmatic, risk-based approach to complex technical problems and work with your team to produce well-defined and actionable plans. Balance your time between management, and hands-on technical work. Participate in Datadog’s incident response efforts. Have a direct impact on users and the overall trust of our platform. Who You Are: Experienced managing an engineering team distributed across multiple timezones. Fluent in one or more modern coding languages (Python, Go, JavaScript, etc.). Familiar with product workflows, and building security into the user experience. An excellent communicator and collaborator, able to work effectively through complex technical problems with a diverse group of stakeholders. Comfortable working in a fast paced, high growth environment, and able to adapt strategies and solutions in response to emerging challenges and opportunities. 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:$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.