Product Manager II – Risk-Based Alerting (SIEM)

🏢 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: Leadership role responsible for defining and executing the product strategy for Cloud SIEM Threat Detection and Incident Response (TDIR) capabilities, including detection engineering, case management, and response automation. The position drives roadmap ownership across integrations, detection engine, rules and signals UX, and SOAR, collaborating closely with engineering and security teams. It focuses on building scalable, user-facing SaaS security solutions for modern cloud environments. 🗂️ Requirements: 7+ years B2B SaaS product management experience, 2+ years leading product managers, Strong knowledge of TDIR, SIEM or SOAR workflows, Experience with detection engineering and incident response processes, Experience building complex user-facing SaaS products, Familiarity with cloud architectures, Experience working with APIs, Experience collaborating with engineering and technical teams, Ability to work with large-scale data systems 📃 Skills: SIEM, SOAR, TDIR, SaaS, Cloud, APIs, Automation, Detection, Security, Data 🏢 Description: Datadog’s Cloud SIEM product enables security teams to detect, investigate, and respond to threats across modern cloud and SaaS environments. As a Group Product Manager, you will define and lead the vision for our Threat Detection and Incident Response (TDIR) capabilities, with direct impact on how our customers automate and scale their security operations. You’ll guide product strategy across detection engineering, case management, response workflows, and integrations—driving innovation that empowers security teams to move from alerting to action. This is a high-impact leadership role managing a team of product managers, working closely with engineering, design, and go-to-market teams to evolve Datadog’s unified observability and security platform. 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 focused on Datadog’s TDIR capabilities within Cloud SIEM Define and execute product strategy across detection workflows, investigation experiences, and response automation Own the roadmap for core pillars: integrations, detection content, detection engine, rules & signals UX, case management, and SOAR platform Build deep empathy with security practitioners to solve challenges in detection engineering and incident response Partner with engineering, design, and security research to deliver cohesive, cross-platform security experiences Collaborate with marketing, sales, and customer success teams to support adoption, messaging, and go-to-market alignment Who You Are: 7+ years of experience in B2B SaaS product management, including 2+ years leading product managers Strong domain knowledge in security workflows (TDIR, SIEM, or SOAR), including signals, rules, investigations, and automation Proven ability to lead cross-functional initiatives and build complex, user-facing SaaS products Comfortable working with technical teams and large-scale data systems; familiarity with cloud architectures and APIs Skilled in translating enterprise customer needs into scalable product strategy Collaborative communicator with a track record of delivering results across platform, UX, and data layers 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.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 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: Own and drive the roadmap for core Code Security products focused on application vulnerability management, including application security testing and software composition analysis. Lead cross-functional execution to deliver new security capabilities that address gaps in vulnerability management and AI-assisted development workflows. Shape product strategy at the intersection of application security, developer tools, and AI. 🗂️ Requirements: Extensive Product Management experience owning roadmap for technical products, Experience with developer tools, security, or infrastructure products, Strong understanding of SDLC and security integration in developer workflows, Experience with application security testing and vulnerability management, Familiarity with AI coding tools or agentic development workflows, Experience launching products or features from 0 to 1, Ability to translate technical challenges into product strategy 📃 Skills: SDLC, AppSec, SAST, SCA, AI, DevSecOps, VulnerabilityManagement, ProductManagement, Infrastructure, DeveloperTools 🏢 Description: As a Senior Product Manager on the Code Security team, you will define and own the roadmap for Code Security’s core application vulnerability management products (application security testing and software composition analysis). This is a strategic and technical role focused on identifying gaps in customers’ vulnerability management workflows and translating those insights into high-impact product capabilities. You’ll work cross-functionally with engineering, security research, design, and go-to-market teams to launch innovative solutions that help customers stay ahead of evolving threats. This role offers a unique opportunity to grow your expertise in both application security and AI, while shaping one of Datadog’s fastest-growing product areas. 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 product roadmap for Datadog’s core Code Security products for application code and library vulnerability scanning Conduct deep customer discovery with security and engineering teams to uncover critical gaps in vulnerability management, supply chain protection, and AI-assisted coding workflows Collaborate cross-functionally with engineering, design, security research, and go-to-market teams to drive alignment and execute on roadmap priorities Launch new capabilities from 0 to 1, helping to establish and grow the Code Security portfolio’s presence in the market Translate complex technical challenges into clear product strategies that address customer needs and market opportunities Who You Are: Extensive experience as a Product Manager owning the roadmap and execution for technical products, ideally in developer tools, security, or infrastructure You enjoy engaging directly with customers, leading discovery calls, participating in sales conversations, and building relationships to understand user needs You have a solid technical understanding of the software development lifecycle (SDLC), including how security integrates into modern developer workflows You are familiar with AI coding tools or agentic development workflows and are comfortable working at the intersection of AI and security You thrive in cross-functional environments and enjoy turning ambiguous problems into tangible product outcomes You have experience taking new features or products from 0 to 1, making thoughtful tradeoffs about what to build (and what not to build) in fast paced environments You communicate clearly and persuasively with both internal and external stakeholders 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: Engineering Manager role leading a full-stack team responsible for defining, scheduling, and managing monitors and alerts within a high-scale alerting platform. The position focuses on technical direction, architecture decisions, reliability, and end-to-end customer-facing services from UI to public API. It combines people leadership with ownership of uptime, performance, and correctness of critical alerting systems. 🗂️ Requirements: Experience leading teams of 4+ engineers, Ownership of high-scale customer-facing services, Experience with uptime, performance, and correctness metrics, On-call experience and incident response leadership, Post-mortem writing and remediation management, Degree in Computer Science, Engineering or related field or equivalent experience, Hands-on use of AI coding tools in development workflows, Ability to validate and refine AI-generated code 📃 Skills: Architecture, APIs, UI, Monitoring, Alerting, SaaS, Cloud, Uptime, Performance, IncidentResponse, AICoding, Roadmapping 🏢 Description: Engineering Managers in the Alerting Platform are responsible for the core systems that define and schedule monitors, create alerts, and ensure the accuracy and timeliness of the end to end alerting data across the platform. This engineering manager will lead the team that owns the product experience of defining and managing monitors and the critical first step on customers' journey of responding to issues - a "full stack" team, from the UI to the public API. 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: Define and prioritize goals in long term roadmaps with engineering and product leadership Work with team members to drive technical direction in architecture decision making and ensuring good review processes Manage and grow team of varying experience levels, intern to senior engineers, with a focus on impact and career development Partner extensively across engineering and product teams to understand needs and collaborate on solutions Lead by example in handling incidents and on-call responsibilities, ensure reliability is a priority. Who You Are: Built and led teams of 4+ engineers Have owned high-scale customer-facing services that are measured on uptime, performance, and correctness Experience with being on-call, leading incident responses, writing post mortems, and driving remediation efforts You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience 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 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 setting technical vision and delivering AI-powered products across the platform, from research and model development to production operations. The position oversees multiple teams building ML models, agentic systems, and conversational AI solutions at large scale. It combines hands-on AI expertise with organizational leadership to drive end-to-end AI strategy and operational excellence. 🗂️ Requirements: Strong background in AI, Machine Learning, or Data Science, Proven experience building and shipping ML or AI products in production, Experience leading multiple engineering and applied science teams, Deep expertise in LLMs, agentic systems, anomaly detection, time-series modeling, NLP, RAG, or ML infrastructure, Experience owning ML systems from data pipelines to deployment and operations, Ability to define technical strategy and partner with Product, BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field or equivalent experience 📃 Skills: MachineLearning, DataScience, LLMs, NLP, RAG, AnomalyDetection, TimeSeries, MLInfrastructure, ConversationalAI, AgenticSystems, DataPipelines, ModelTraining, ModelDeployment, MLOps 🏢 Description: Datadog's Applied AI group builds AI foundations and AI-powered features across the Datadog platform. We train ML models, build agents, and ship natural language interfaces that help thousands of customers detect problems, investigate incidents, and act on their infrastructure. Our teams work with some of the world's richest observability data, hundreds of trillions of data points per day, to build production AI at real scale. Our work spans ML models, agentic systems, conversational AI, foundation models, and the infrastructure that supports them. As a Manager II, you will lead multiple teams of engineers, applied scientists, and managers in this space. You own the technical direction and the team culture. You drive work from research through production, partner with product to set priorities, and help shape how Datadog uses AI to close the loop between detecting a problem and fixing it. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform Set technical vision and strategy for your area in partnership with Product Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities Build evaluation and quality practices for AI systems, offline benchmarks, online metrics, and continuous improvement loops Own operational excellence for your teams' systems: reliability, on-call, incident response, and technical quality Hire and plan for organizational growth as the AI group scales Help shape Datadog's broader AI roadmap and promote best practices in ML engineering and career development across the organization Who You Are: An experienced technical leader with a strong background in AI, machine learning, or data science Proven track record building and shipping ML or AI-powered products in production Experience leading and mentoring multiple teams, including senior engineers and engineering managers Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure Comfortable partnering with Product to set vision and strategy, and turning ambiguous problems into clear plans A strong people manager who can attract, develop, and retain top AI and engineering talent BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Giving programs Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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

🏢 Summary: Product Manager II role focused on leading the next phase of Custom Metrics, driving AI-driven governance, infrastructure integrations, and cross-product expansion across observability domains. The position involves owning technically complex initiatives from discovery through launch, leveraging data and customer insights to shape roadmap and impact adoption, retention, and monetization. It operates at the intersection of infrastructure, storage, pricing, and AI within a B2B SaaS platform environment. 🗂️ Requirements: 3–5 years of product management experience in technical B2B SaaS or platform products, Proven ownership of a product area or major feature set from discovery to delivery, Experience working on infrastructure, data-heavy, or systems-oriented products, Ability to analyze usage data and define KPIs to measure impact, Experience conducting product discovery interviews and translating insights into requirements, Ability to collaborate closely with Engineering on technically complex initiatives 📃 Skills: SaaS, AI, Infrastructure, APM, Logs, Metrics, Data, Analytics, KPIs, Governance, Storage, Pricing 🏢 Description: At Datadog, Custom Metrics sits at the heart of how our most sophisticated customers understand, govern, and scale their observability data. As we look toward 2026 and beyond, this area is becoming even more strategic — powering predictable growth, AI-driven insights, and new expansion opportunities across the Datadog platform. We’re looking for a Product Manager II to help own and deliver the next phase of Custom Metrics. This is a high-impact role operating at the intersection of infrastructure, storage, pricing, governance, and AI. You’ll take on technically deep problems, lead cross-product initiatives, and directly influence retention, expansion, and monetization for one of Datadog’s largest and fastest-evolving product areas. This role was created to close a critical execution gap and ensure we can deliver our 2026 roadmap with speed and confidence . 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 major initiatives on the Custom Metrics roadmap, with a focus on AI-driven governance, agentic workflows, and cross-product expansion into Infrastructure, Logs, and APM. Conduct regular customer conversations, analyze usage data and support feedback, and synthesize insights to inform product direction. Drive end-to-end execution for features and improvements — from concept and validation through launch and iteration. Define and track success metrics tied to adoption, usage, retention, and customer satisfaction. Partner closely with Engineering and Design to scope solutions, evaluate trade-offs, and deliver iterative value. Collaborate with adjacent product teams (e.g., Infrastructure, Logs, APM) to ensure alignment and smooth integrations where roadmaps intersect. Co-lead feature launches with Marketing, Sales, and Customer Success, ensuring clear positioning and enablement. Use data and customer feedback post-launch to refine features and improve impact. Support customer conversations, including handling escalations related to your product area and gathering direct feedback to inform roadmap decisions. Who You Are: 3 to 5 years of product management experience, preferably in technical B2B SaaS or platform products. Proven ownership of a product area or major feature set, driving initiatives from discovery through delivery and iteration. Strong product discovery skills: able to independently run interviews, analyze usage data, and translate insights into clear problem definitions. Comfortable operating independently within a defined scope, while aligning with broader product direction and company priorities. Strong technical aptitude and ability to partner effectively with engineers on infrastructure, data-heavy, or systems-oriented products. Experience defining KPIs and using data to guide prioritization and measure impact. Clear, concise communicator who can align cross-functional partners and maintain steady execution momentum. Demonstrated ability to make thoughtful decisions amid ambiguity, balancing customer value, technical feasibility, and business considerations. 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:$155,000—$190,000 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.