Datadog

Lead and develop regional Sales Engineers, set strategy and capacity plans with Sales leadership, and ensure strong technical execution across sales cycles. | Requires 7+ years in Sales Engineering or a technical customer-facing role, including 3+ years of leadership, plus public cloud and observability expertise. | As a Regional Manager, Sales Engineering, you will lead a team of Sales Engineers and frontline leaders, driving technical execution, operational excellence, and team development across your region. You’ll act as a force multiplier by owning team performance, shaping execution standards, and partnering closely with Sales leadership to influence strategy, improve outcomes, and scale impact beyond individual deals. What You’ll Do: Lead, coach, and develop a team of Sales Engineers, driving performance, engagement, and long-term career growth through regular feedback and structured development Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression Hire and onboard top talent across ICs and manager-level roles, building a high-performing team and accelerating ramp through structured onboarding and enablement Manage regional operations including resource allocation, utilization, KPI tracking, productivity, and skills development to ensure effective coverage across the territory c cross-functionally with Sales, Product, Marketing, Enablement, and Support at a senior level to align on regional strategy, GTM execution, and customer experience Drive operational excellence across the region by improving processes, maintaining data quality, scaling evaluation frameworks, and contributing to initiatives that improve team effectiveness and business impact Who You Are: 3+ years of experience leading Sales Engineers and/or frontline leaders in a customer-facing technical organization with proven ability to manage team performance, develop team members, and scale high-performing teams 7+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role Proven ability to partner with senior Sales leadership on regional strategy, long-range planning, and forecast alignment as a strategic peer Ability to operate at both strategic and operational levels, balancing multi-quarter planning with day to day team execution and priorities Strong cross-functional collaborator with the ability to influence across teams and at senior levels Background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability Demonstrated capability of utilizing AI tooling and scaling it Growth mindset of embracing change and being curious Willingness to travel as needed to support customer engagements 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: Best-in-breed onboarding Generous global benefits Intra-departmental mentor and buddy program for in-house networking New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture, able to join our Community Guilds and Inclusion Talks 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: $150,000—$200,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Create developer resources and open-source tools, share engineering insights publicly, guide teams on AI-assisted development practices, and relay community feedback to product teams. | Requires 10-plus years of software engineering, fluency with AI coding assistants and multiple stacks, and roughly three years of technical storytelling and community engagement with a public portfolio. | We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on AI-accelerated workflows and next-generation developer ecosystems, you will have the opportunity to meet fast-moving teams where they are, helping them lay strong engineering foundations and broadening your impact to the developer community at large. This is a unique opportunity to use both your engineering depth and authentic storytelling skills to shape how the next wave of builders approach software health, scalability, and observability. What You’ll Do: • Help developers hone their craft in an AI-accelerated world by exploring how AI coding assistants and rapid-prototyping tools change software workflows, and guiding teams on how to balance rapid prototyping with established engineering practices around performance, code health, and system reliability. • Build in public by creating authentic, peer-to-peer technical content, sharing your engineering insights directly where modern developers collaborate in person and online. • Drive a constructive, bidirectional feedback loop between fast-moving developer communities and our internal teams, translating real-world developer experiences into actionable product insights to shape our roadmap while advocating for user needs from the inside. • Design and ship high-quality open-source boilerplate templates, quickstarts, and tools that make integrating observability seamless across AI native workflows, next-gen platforms (Vercel, Supabase, etc.), and cloud providers (AWS, GCP, Azure). Who You Are: • A builder with approximately 10+ years of software engineering experience, ideally having shipped applications from scratch or worked within an early-stage startup environment where you've worn multiple hats. • An AI-fluent developer who natively leverages AI coding assistants and rapid-prototyping tools as a core part of your regular, day-to-day development workflow. • Multi-stack familiar, comfortable writing and debugging code across multiple programming languages (such as JavaScript/TypeScript or Python) and experienced with deployment paradigms spanning next-gen platforms and traditional cloud ecosystems. • An authentic communicator with approximately 3+ years of experience in technical storytelling and community engagement, backed by a publicly available portfolio of peer-to-peer artifacts like GitHub repositories, technical blogs, video walkthroughs, or public speaking presentations. • A forward thinker who loves self-driven exploration of emerging technologies, and is deeply passionate about developer education, mentorship, and helping other engineers hone their craft. Bonus points: • Active community presence or leadership: You are an active participant, contributor, or moderator in developer spaces (such as meetups, Discord, Reddit, or open-source ecosystems focused on next-gen tech). Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: • New hire stock equity (RSUs) and employee stock purchase plan (ESPP) • Continuous professional development, product training, and career pathing • Intradepartmental mentor and buddy program for in-house networking • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) • Access to Inclusion Talks, our Internal panel discussions • Free, global mental health benefits for employees and dependents age 6+ • Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $172,000—$215,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Lead sales engineering managers and partner with sales leadership to guide regional account strategy, deal execution, go-to-market plans, and operational excellence. | Requires 10+ years in sales engineering or technical customer-facing roles, 5+ years of leadership, and strong cloud technology, MEDDICC, and cross-functional influence experience. | As a Director, Enterprise Sales Engineering, you will lead a team of frontline leaders, driving account strategy, deal execution, operational excellence, and team development across your region. This is a strategic leadership role with regional impact within North America. You will act as a force multiplier by owning team and region performance, shaping execution standards, and partnering closely with Sales leadership to influence go to market strategy, improve outcomes, and scale impact beyond individual deals. 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 in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team. Develop and operationalize a repeatable formula and methodology that can scale across a large customer base, enabling Datadog to accelerate enterprise growth by illustrating to customers how Datadog’s observability and security solutions quickly, simply, and efficiently deliver measurable business outcomes especially in a world increasingly dominated by Agentic AI. Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities. Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression. Lead, coach, and develop a team of Sales Engineering leaders, driving performance, engagement, and long-term career growth through regular feedback and structured development. Hire and onboard top talent across ICs and manager-level roles, building a high-performing team and accelerating customer adoption through structured onboarding and enablement. Manage regional operations including resource allocation, utilization, KPI tracking, productivity, and skills development to ensure effective coverage across the territory. Collaborate cross-functionally with Sales, Product, Marketing, Enablement, and Support at a senior level to align on regional strategy, GTM execution, and customer experience. Drive operational excellence across the region by improving processes, maintaining data quality, scaling evaluation frameworks, and contributing to initiatives that improve team effectiveness and business impact. Track competitive developments, market dynamics, and emerging technologies to ensure the team is equipped to position Datadog as a leader in cloud security. Who You Are: 5+ years of experience leading frontline SE leaders in a customer-facing technical organization with proven ability to manage team performance, develop team members, and scale high-performing teams. 10+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role. Demonstrated success leading solution engineering teams with senior stakeholders across Product, SRE, DevOps, and Engineering teams. Is naturally proactive, constantly introducing new ideas and finding better and more efficient ways to help SEs deliver better outcomes for our customers. Ability to operate at both strategic and operational levels, balancing multi-quarter planning with day to day team execution and priorities. Proven ability to influence cross-functional teams and navigate complex joint selling motions, particularly with partners and channel organizations. Excellent communication and stakeholder management skills with both internal teams and customer executives. Expert storytelling capabilities, with a strong ability to explain complex security concepts into everyday language that both technical and business audiences can understand. Passion for building scalable processes and fostering a collaborative, inclusive team culture. Track record of driving technical sales success at scale. Exceptional leadership, coaching, and team-building capabilities, with experience scaling high-impact teams. Background in public cloud (AWS, Azure, GCP), Kubernetes, APM/tracing, security, developer experience, observability or adjacent SaaS technology. Deep understanding of sales methodologies such as MEDDICC, Command of Message (CoM), or similar frameworks. Demonstrated capability of utilizing AI tooling and scaling it. Willingness to travel as needed to support customer engagements or internal meetings. 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: Best-in-breed onboarding Generous global benefits Intra-departmental mentor and buddy program for in-house networking New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An inclusive company culture, able to join our Community Guilds and Inclusion Talks 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: $180,000—$240,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Lead product vision and roadmap for fleet and lifecycle management across multiple product lines and deployment models. | 5+ years product management in technical, cross-product roles with strong communication and technical fluency. | Datadog is looking for a Senior Product Manager to help lead the evolution of our fleet and lifecycle management capability, the product surface that gives customers visibility into, and control over, the observability software running across their infrastructure. This capability manages the deployment lifecycle for core observability agents and OpenTelemetry collectors running on customer hosts and containers. The Senior PM will expand the scope of fleet capability to additional Datadog software components, making it the single place customers go to see everything running in their environment, at any version, in any deployment model, and to manage it remotely and safely at scale, for both human operators and, increasingly, AI agents acting on their behalf. This is a high-visibility, cross-functional role. You'll partner with multiple engineering teams and be responsible for defining and delivering a coherent, unified fleet experience across UI, API, and MCP for customers. 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 evolve the product vision and roadmap for a unified fleet and lifecycle management capability spanning multiple product lines and deployment models. • Define what "managed" means for each new software component as it's brought into fleet, balancing consistency of experience with the realities of each component's operational model. • Drive a phased expansion plan, sequencing new components into fleet based on customer value, technical complexity, and dependency readiness. • Partner closely with engineering leads across several teams to align on shared architecture principles to support disparate software components. • Represent the voice of the customer for a capability that must work equally well for human operators using a UI and for AI agents/automated tooling operating programmatically. • Build the business case, define success metrics, and communicate roadmap and trade-offs to engineering, design, sales, and executive stakeholders. • Stay closely connected to customers and design partners to validate priorities and de-risk major roadmap bets. Who You Are: • 5+ years of product management experience, with a track record of owning complex, technical, cross-product capability. • Experience shipping infrastructure, DevOps, IT operations, or observability/monitoring products, ideally involving fleet management, configuration management, or software lifecycle/deployment tooling. • Demonstrated ability to build product direction across multiple engineering teams with differing priorities, and to drive alignment without direct authority. • Comfort operating in ambiguity, defining scope and sequencing capabilities that deliver customer value incrementally. • Strong technical fluency; you don't need to write code, but you should be comfortable discussing architecture trade-offs with engineers. • Experience designing products for emerging AI-agent/automation use cases is a strong plus. • Excellent written and verbal communication skills; you can distill a sprawling, multi-team initiative into a clear narrative for different audiences. • Bachelor's degree or equivalent practical experience. Bonus Points • Experience with Kubernetes-based deployment models and operator patterns. • Experience with remote configuration or feature-flagging infrastructure at scale. • Familiarity with BYOC (bring-your-own-cloud) or customer-hosted software deployment models. 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 and 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: $192,000—$240,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Lead product vision and roadmap for fleet and lifecycle management across multiple product lines and teams. | 5+ years product management in technical, cross-product roles with experience in infrastructure or DevOps products preferred. | Datadog is looking for a Senior Product Manager to help lead the evolution of our fleet and lifecycle management capability, the product surface that gives customers visibility into, and control over, the observability software running across their infrastructure. This capability manages the deployment lifecycle for core observability agents and OpenTelemetry collectors running on customer hosts and containers. The Senior PM will expand the scope of fleet capability to additional Datadog software components, making it the single place customers go to see everything running in their environment, at any version, in any deployment model, and to manage it remotely and safely at scale, for both human operators and, increasingly, AI agents acting on their behalf. This is a high-visibility, cross-functional role. You'll partner with multiple engineering teams and be responsible for defining and delivering a coherent, unified fleet experience across UI, API, and MCP for customers. 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 evolve the product vision and roadmap for a unified fleet and lifecycle management capability spanning multiple product lines and deployment models. • Define what "managed" means for each new software component as it's brought into fleet, balancing consistency of experience with the realities of each component's operational model. • Drive a phased expansion plan, sequencing new components into fleet based on customer value, technical complexity, and dependency readiness. • Partner closely with engineering leads across several teams to align on shared architecture principles to support disparate software components. • Represent the voice of the customer for a capability that must work equally well for human operators using a UI and for AI agents/automated tooling operating programmatically. • Build the business case, define success metrics, and communicate roadmap and trade-offs to engineering, design, sales, and executive stakeholders. • Stay closely connected to customers and design partners to validate priorities and de-risk major roadmap bets. Who You Are: • 5+ years of product management experience, with a track record of owning complex, technical, cross-product capability. • Experience shipping infrastructure, DevOps, IT operations, or observability/monitoring products, ideally involving fleet management, configuration management, or software lifecycle/deployment tooling. • Demonstrated ability to build product direction across multiple engineering teams with differing priorities, and to drive alignment without direct authority. • Comfort operating in ambiguity, defining scope and sequencing capabilities that deliver customer value incrementally. • Strong technical fluency; you don't need to write code, but you should be comfortable discussing architecture trade-offs with engineers. • Experience designing products for emerging AI-agent/automation use cases is a strong plus. • Excellent written and verbal communication skills; you can distill a sprawling, multi-team initiative into a clear narrative for different audiences. • Bachelor's degree or equivalent practical experience. Bonus Points • Experience with Kubernetes-based deployment models and operator patterns. • Experience with remote configuration or feature-flagging infrastructure at scale. • Familiarity with BYOC (bring-your-own-cloud) or customer-hosted software deployment models. 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 and 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: $192,000—$240,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Lead product vision and roadmap for fleet and lifecycle management across multiple product lines and deployment models. | 5+ years product management experience with technical fluency in infrastructure or DevOps products, strong cross-team collaboration, and excellent communication skills. | Datadog is looking for a Senior Product Manager to help lead the evolution of our fleet and lifecycle management capability, the product surface that gives customers visibility into, and control over, the observability software running across their infrastructure. This capability manages the deployment lifecycle for core observability agents and OpenTelemetry collectors running on customer hosts and containers. The Senior PM will expand the scope of fleet capability to additional Datadog software components, making it the single place customers go to see everything running in their environment, at any version, in any deployment model, and to manage it remotely and safely at scale, for both human operators and, increasingly, AI agents acting on their behalf. This is a high-visibility, cross-functional role. You'll partner with multiple engineering teams and be responsible for defining and delivering a coherent, unified fleet experience across UI, API, and MCP for customers. 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 evolve the product vision and roadmap for a unified fleet and lifecycle management capability spanning multiple product lines and deployment models. • Define what "managed" means for each new software component as it's brought into fleet, balancing consistency of experience with the realities of each component's operational model. • Drive a phased expansion plan, sequencing new components into fleet based on customer value, technical complexity, and dependency readiness. • Partner closely with engineering leads across several teams to align on shared architecture principles to support disparate software components. • Represent the voice of the customer for a capability that must work equally well for human operators using a UI and for AI agents/automated tooling operating programmatically. • Build the business case, define success metrics, and communicate roadmap and trade-offs to engineering, design, sales, and executive stakeholders. • Stay closely connected to customers and design partners to validate priorities and de-risk major roadmap bets. Who You Are: • 5+ years of product management experience, with a track record of owning complex, technical, cross-product capability. • Experience shipping infrastructure, DevOps, IT operations, or observability/monitoring products, ideally involving fleet management, configuration management, or software lifecycle/deployment tooling. • Demonstrated ability to build product direction across multiple engineering teams with differing priorities, and to drive alignment without direct authority. • Comfort operating in ambiguity, defining scope and sequencing capabilities that deliver customer value incrementally. • Strong technical fluency; you don't need to write code, but you should be comfortable discussing architecture trade-offs with engineers. • Experience designing products for emerging AI-agent/automation use cases is a strong plus. • Excellent written and verbal communication skills; you can distill a sprawling, multi-team initiative into a clear narrative for different audiences. • Bachelor's degree or equivalent practical experience. Bonus Points • Experience with Kubernetes-based deployment models and operator patterns. • Experience with remote configuration or feature-flagging infrastructure at scale. • Familiarity with BYOC (bring-your-own-cloud) or customer-hosted software deployment models. 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 and 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: $192,000—$240,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Design and deliver high-performance frontend technology while leading redesigns and coaching engineers. | 10+ years engineering experience with 4+ years technical leadership and strong React expertise. | Staff Software Engineer - Frontend - New York City Datadog’s Staff Engineers are our technical leaders operating at the forefront of technology, building solutions that take us through at least our next five years of growth. They do this in three major ways: As individual contributors, they bring world-class technical abilities to deliver industry-leading systems in areas such as data visualization, virtual runtime profiling, and planet-scale streaming. As technical leaders, they bring experienced technical breadth and communication skills to tackle design and architectural problems spanning the organization, charting the right course, and then leading delivery. In both roles, they participate in the staff engineering community and help us learn from what the industry is doing and what we've built before, and so improving company-wide standards around software and systems engineering. 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: Use your expertise to design and deliver technology that will power the next generation of products Coach and develop engineers at various levels, from new university graduates to senior engineers with years of industry experience Leading redesigns of significant parts of the Datadog product and website Owning core customer experiences, including the first-time user experience. Who You Are: 10+ years of relevant engineering experience 4+ years of technical leadership experience, including both effective communication of complex concepts and experience coordinating across teams to ship critical products Running a high volume of experimentation and iteration cycles (A/B testing). Strong UI/UX intuition, adept at working closely with product design and product management stakeholders to develop a shared vision and deliver on it You have led development of high-complexity, high-performance interactive browser applications, including architecture, interaction design, and optimization Ability to bring best practices from across the world of software engineering and adapt them to the frontend environment Expertise with React 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 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. 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: $138,000—$305,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Act as product expert to optimize cloud usage and costs, lead escalations on billing anomalies, and collaborate on documentation. | Requires strong analytical skills, familiarity with cloud billing models and APIs, and ability to work with technical and business stakeholders. | As Datadog’s in-house product experts, the Technical Escalation Engineering (TEE) team plays a critical role in driving our global success. We enable our customers, from the world’s most innovative startups to the largest enterprises. Through deep technical expertise, relentless problem-solving, and exceptional customer engagement, we educate, guide, and troubleshoot, delivering high-impact solutions that shape the customer experience. Whether through hands-on technical call, in-depth fact findings meeting, or complex investigations, we set the gold standard for technical excellence and customer advocacy. As part of our TEE team, you’ll tackle the most challenging technical problems, collaborate directly with Engineering and Product to refine and evolve our platform, and mentor teams worldwide, elevating the technical bar at every level. As part of the Technical Escalation Engineering (TEE) team, you’ll operate at the heart of Datadog’s ecosystem, working at the intersection of Technical Solutions, Engineering, Product, and our Customers. Every challenge you take on will directly impact the performance, scalability, and success of both our clients and our platform. You’ll be in an environment that moves fast, challenges you daily, and rewards curiosity, ownership, and technical excellence. This is your chance to shape the future of observability and security, driving innovation, mentoring teams, and influencing product direction while witnessing your expertise make an immediate and lasting impact. 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: Become the expert on usage metering, revenue-impacting behavior, and Cloud Cost Management within Technical Solutions, helping customers optimize usage and control spend across all Datadog product lines. Lead escalations involving unexpected usage, missing metering data, usage spikes, billing anomalies, unclear attribution, or limits enforcement (e.g., quotas, plans, exclusions, overages). Partner closely with Product, Engineering, and Finance to escalate bugs, align on expected behavior, improve usage visibility, and drive transparency and fairness in billing and usage tracking. Build internal guides, tooling, diagnostics, and playbooks — plus customer-facing content — that help teams confidently handle billing- and revenue-related questions and forecast, reduce, and monitor observability costs. Enable the global Solutions team by running training sessions and building scalable resources that empower others to support usage, billing, and cost-related conversations effectively. Act as a voice of the customer, surfacing feedback and patterns to help shape the roadmap for usage visibility, billing transparency, and cost management. Who You Are: Curious and detail-oriented when it comes to how usage is measured, attributed, and billed across products — including usage limits, overages, metering discrepancies, plan entitlements, and customer contract constraints. Passionate about helping customers optimize their cloud footprint, with a strong grasp of cloud cost drivers, usage attribution, and spend analysis. Familiar with cloud billing models (AWS, Azure, GCP) — usage types, tags, accounts/projects — and how that data is exposed via APIs and billing exports. Comfortable digging into data retention, high-cardinality signals, metric volume, log ingestion, and overage prevention, and able to translate telemetry volume into cost impact. Familiar with APIs, product usage metrics, tagging strategies, and the nuances of account-level configurations and multi-org setups. Experienced working across technical and business boundaries — equally comfortable with backend telemetry pipelines and customer-facing impact and urgency. Analytical and precise, able to communicate usage and cost impact clearly to both technical and non-technical stakeholders. Comfortable working with ambiguity, data anomalies, and edge cases, and committed to finding root causes that drive customer trust. Datadog values people from all walks of life. We understand not everyone will meet all the below qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Bonus points Computer Science or Engineering majors Experienced in using Zendesk, Jira, Confluence, or similar softwares. Familiarity with Datadog, integrations ecosystem, or similar observability platforms is a strong plus. Datadog values people from all walks of life. We understand not everyone will meet all the below 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: Product training to develop an in-depth understanding of our product and space Continuous career development and pathing opportunities for internal mobility Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Free global mental health benefit through Spring Health Generous global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $85,000—$113,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Investigate complex technical escalations and lead calls to resolve critical customer issues related to log ingestion and processing, while mentoring support teams and collaborating with engineering. | Experience troubleshooting log issues including parsing failures and pipeline routing, familiarity with Grok, JSON, and log monitoring tools, and a bachelor's degree. | The Team As Datadog’s in-house product experts, the Technical Escalation Engineering (TEE) team plays a critical role in driving our global success. We enable our customers, from the world’s most innovative startups to the largest enterprises. Through deep technical expertise, relentless problem-solving, and exceptional customer engagement, we educate, guide, and troubleshoot, delivering high-impact solutions that shape the customer experience. Whether through hands-on technical call, in-depth fact findings meeting, or complex investigations, we set the gold standard for technical excellence and customer advocacy. As part of our TEE team, you’ll tackle the most challenging technical problems, collaborate directly with Engineering and Product to refine and evolve our platform, and mentor teams worldwide, elevating the technical bar at every level. Role Summary As part of the Technical Escalation Engineering (TEE) team, you’ll operate at the heart of Datadog’s ecosystem, working at the intersection of Technical Solutions, Engineering, Product, and our Customers. Every challenge you take on will directly impact the performance, scalability, and success of both our clients and our platform. You’ll be in an environment that moves fast, challenges you daily, and rewards curiosity, ownership, and technical excellence. This is your chance to shape the future of observability and security, driving innovation, mentoring teams, and influencing product direction while witnessing your expertise make an immediate and lasting impact. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop deep technical expertise and continuously learn as the product evolves. Investigate complex escalations, lead high-stakes technical calls, and drive solutions for our most critical customer challenges with urgency and precision. Run engaging office hours, deliver impactful learning sessions, and mentor the Global Support Engineering team (GSE), ensuring they’re equipped to handle any challenge. Partner with Engineering and Product to proactively identify gaps, drive improvements, and advocate for customers in shaping the evolution of our platform. Become the go-to expert on Datadog Logs within the Technical Solutions team, specializing in end-to-end log ingestion, processing, and visualization. Lead escalations involving missing logs, parsing discrepancies, pipeline misconfigurations, and unexpected indexing or retention behavior. Build internal tools, reusable diagnostic flows, and clear guides that empower TSEs and customers to troubleshoot log issues independently. Who You Are: A self-driven problem solver with an obsession for excellence and continuous learning. You thrive in ambiguity, take initiative, and push beyond expectations. A strategic thinker who defaults to a client-centric approach, proactively identifying opportunities to enhance customer experience while balancing technical feasibility. An independent, fast learner, capable of picking up new technologies, adapting to evolving priorities, and crafting innovative solutions to complex technical issues. A collaborator and mentor, who enjoys sharing knowledge, raising the technical bar for the team, and contributing to a culture of excellence. Experienced in troubleshooting common log issues such as parsing failures, dropped logs, incorrect facets, pipeline routing problems, and noisy ingestion. Comfortable working with GROK, JSON, and custom log parsers, and understand the impact of filters, remappers, and processors on log behavior. Confident navigating log-based monitors, Live Tail, cold storage, rehydration, and usage controls like exclusion filters and quotas. Analytical and precise, you enjoy digging into intricate pipelines, identifying root causes, and guiding customers to optimized, cost-effective solutions. Bonus points Computer Science or Engineering majors Experienced in using Zendesk, Jira, Confluence, or similar softwares. Datadog values people from all walks of life. We understand not everyone will meet all the below 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 US benefits New hire stock equity (RSUs) and employee stock purchase plan Continuous career development and pathing opportunities Product training to develop an in-depth understanding of our product and space Best in breed onboarding Internal mentor and buddy program cross-departmentally Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $85,000—$113,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Design and build high-throughput data pipelines for billing and cost attribution while improving platform performance and reliability. | Significant experience building and operating production data pipelines at scale using Spark and Airflow, with strong analytical skills for data correctness. | About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team: The Revenue Data Engineering Teams designs, builds and runs the data pipelines and helper systems to accurately and in a timely manner quantify our customers’ usage across all Datadog products. This team is at the leading edge of any new product we release. The Revenue Data Processing team builds and operates the data pipelines that does billing, and cost attribution for all Datadog products. We process terabytes of data daily to power revenue-critical systems and are at the center of every new product launch at Datadog. As a Senior Software Engineer, you will own meaningful parts of a large-scale, mission-critical processing platform — driving architectural improvements, building new billing capabilities, and maintaining the high reliability bar our downstream consumers depend on. You Will: Design and build high-throughput data pipelines for billing and cost attribution Drive platform improvements — latency reduction, Spark optimization, sharding, and cross-datacenter reliability Own root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams Contribute to new billing features Work across Python and Scala, with technologies including Spark, Airflow, Trino, and Apache Iceberg Participate in on-call rotation and maintain a high reliability bar for production systems Contribute to engineering standards and help grow the technical culture of the team You Are: You have significant experience building and operating production data pipelines at scale using Spark and Airflow You are comfortable owning complex, cross-functional investigations and driving them to resolution You understand how to balance feature delivery with platform health and technical debt You have strong analytical instincts and are rigorous about correctness in data systems You work well in ambiguous environments and can drive alignment across stakeholder teams You care about code quality, maintainability, and operational excellence Bonus Points: Have experience with Apache Iceberg or Lakehouse architectures Have worked on billing, metering, or financial data systems Have experience with low-latency data serving or real-time aggregation pipelines 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-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $192,000—$240,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.