Datadog jobs

Datadog seeks a Senior Manager to lead the Product Solutions Architecture team, overseeing 12+ expert individual contributors across 12+ product categories. The role includes team management, mentoring, recruiting, and serving as technical advisor to customers on observability best practices and architecture. Requires 10+ years solving complex problems, 5+ years people management, and executive-level stakeholder influence. Hybrid workplace in Boston, Denver, NYC, or San Francisco; compensation not specified.

Head of Leadership Search at Datadog, building and leading a centralized executive search function for Senior Director, VP, and SVP-level hires. Requires proven executive search leadership, team building, and ability to partner with C-suite executives. Hybrid role across multiple US offices (Boston, Denver, New York, San Francisco), not software engineering.

This is an Enterprise Sales Engineer role at Datadog, sitting within the Sales organization and focused on technical customer engagement throughout the sales cycle. You'll deliver product demonstrations, conduct technical evaluations (POVs), qualify opportunities, and serve as the voice of customer feedback to the product team. The role requires 3+ years of sales engineering or DevOps engineering experience, strong communication skills, programming knowledge in languages like Java, Python, Go, or Node.js, and comfort with up to 45% travel to client sites. Datadog is a leading observability and security platform used by Fortune 500 companies, offering competitive compensation ($149K–$198K USD), equity/RSUs, and comprehensive benefits including healthcare and professional development. The role is hybrid with flexibility on work-life balance, though significant client-facing travel is expected.

Manager, Sales Development at Datadog leads a team of Sales Development Representatives responsible for prospect generation and pipeline volume for one of the company's largest business lines. Key responsibilities include hiring and training SDRs, managing team ramp-up and onboarding, coaching reps to exceed targets, developing career paths toward full-cycle sales roles, and maintaining accurate forecasts for leadership. You'll need direct experience in high-tech sales, proven success with SaaS/Cloud platforms and Salesforce, strong written and verbal communication, and a genuine passion for coaching and team development. Datadog is a leading observability and security platform trusted by Fortune 500 companies, operating on a hybrid model with offices valued for culture and collaboration. The role offers performance-based income, equity (RSUs and ESPP), Presidents Club opportunities, and structured professional development, though Datadog explicitly welcomes applicants who don't meet all qualifications on day one if genuinely passionate about technology.

Senior Billing Operations Analyst at Datadog in Tokyo, Japan. Finance role involving billing inquiry resolution, customer support, cross-functional collaboration with Sales/CS/Product, and process improvement. Hybrid workplace model. Requires 1–3 years relevant experience, Excel/Google Sheets proficiency, and domain knowledge in SaaS billing; SQL and Tableau/Metabase are bonus skills.

Datadog seeks a Senior Program Manager for the People Team to drive large-scale, cross-functional HR programs spanning organizational design, benefits, and employee experience. Role requires hybrid NYC presence and emphasizes program management, stakeholder alignment, and operational effectiveness rather than software engineering. Reports to Chief of Staff to Chief People Officer.

Senior Software Engineer role at Datadog focused on building and optimizing the REDAPL Graph Engine, a referential data platform that ingests 4.5M+ updates per second and powers multiple Datadog products. Responsibilities include designing query engines, driving high-visibility platform projects, leading architecture decisions, and collaborating with internal product teams. Requires BS/MS/PhD in CS or related field, extensive experience with multiple data stores, and distributed systems at scale; bonuses for graph database and query engine experience. Hybrid workplace with office culture emphasis.

Datadog is hiring a Senior Software Engineer to develop REDAPL, their Referential Data Platform that serves as the backbone for infrastructure observability, processing 4.5 million updates per second across products like Cloud Security Posture Management, Resource Catalog, and Cloud Cost Management. You'll build query engines for relationship traversals, drive high-priority platform projects, lead architectural decisions, and collaborate with internal product teams to scale the system across reliability, performance, and cost efficiency. Required qualifications include a CS/Engineering degree or equivalent experience, extensive work with multiple data stores, several years in platform/infrastructure engineering, and significant backend experience building distributed systems at scale. Bonus experience includes graph databases (Neo4j, Neptune, etc.), Apache Iceberg, and contributions to production query engines like Trino or DataFusion. This is a hybrid role at Datadog, a leading observability platform trusted by Fortune 500 companies, with competitive global benefits and emphasis on professional development. The role emphasizes that qualifications don't need to be perfect on day one—Datadog values passionate engineers willing to grow.

Senior Software Engineer role at Datadog focused on REDAPL, the company's Referential Data Platform that tracks customer infrastructure resources and powers products like Cloud Security Posture Management and Resource Catalog, currently handling 4.5 million updates per second. You'll drive technical decisions on data ingestion, processing, and query pipelines while building a query engine for efficient relationship traversals, leading architectural decisions across teams, and collaborating with product teams on scaling and reliability. Required experience includes a CS/engineering degree or equivalent, extensive work with multiple data stores, several years in platform/infrastructure environments, and proven ability to build and operate distributed systems at scale with focus on performance and cost efficiency. Bonus qualifications include production experience with graph databases (Neo4j, Neptune, etc.), Apache Iceberg, and query engine development (Trino, DataFusion, etc.). Datadog operates hybrid and values technical leadership; strong query engine expertise is a notable stand-out requirement for this platform-infrastructure role.

Manager I, Engineering - Husky at Datadog, leading one of several teams working on Husky (petabyte-scale columnar event store powering Logs, RUM, APM, and other Datadog products). Manages engineers ranging from new grads to senior level, focusing on career development, technical leadership via RFC/code review, and scaling infrastructure from petabyte to exabyte scale. Requires background in distributed systems, experience with Java/Go, and on-call/incident response leadership. Hybrid office-based role in Paris.

Datadog is hiring an Engineering Manager I, Threat Detection to lead a high-performing team building AI-accelerated detection and response systems for cloud-native infrastructure security. The role involves leading strategy and execution of detection programs, building and mentoring security and software engineers, partnering with Security Incident & Response, CTI, and AI teams, and driving shared ownership of detection authorship across the organization. Based on-site/hybrid in New York, it requires prior security operations, detection engineering, or incident response experience and focuses on fidelity, coverage, and AI-driven signal quality.

Manager, Mid-Market Sales at Datadog, San Francisco (hybrid on-site). Leadership role managing team of Mid-Market Account Executives, overseeing sales funnels, forecasting, and team coaching. Requires SaaS/Cloud sales experience and proven sales management. $113,000–$133,000/year. Not a software engineering position.

Datadog seeks a Billing Operations Analyst to research and resolve complex billing inquiries, partner with cross-functional teams (Customer Success, Sales, Product), manage customer invoice questions, and identify billing discrepancies. Requires 1–3 years relevant experience, proficiency in Excel/Google Sheets, and strong communication skills. Bonus experience includes SaaS environment, NetSuite/Salesforce, SQL, and Tableau. This is finance/operations support, not software engineering.

Datadog's eBPF Platform team is hiring a systems engineer to build foundational infrastructure for GPU Monitoring and shared eBPF tooling within the Datadog Agent, working across network performance monitoring, service monitoring, and security products. You'll develop eBPF programs and metrics pipelines for GPU visibility, debug production incidents spanning kernel and agent layers, and help shape the architecture of one of the industry's most widely deployed eBPF solutions. The role requires 5+ years of application/systems development experience, deep Linux kernel knowledge (via eBPF, kernel development, or low-level C), and expertise building high-throughput/low-latency systems. Datadog offers equity (RSUs), professional development, inclusive culture, and operates as a hybrid workplace with flexibility (#LI-Remote suggests remote eligibility, though not guaranteed for all locations). A key standout is the intersection of cutting-edge eBPF and GPU infrastructure work at massive scale—this is specialized, high-impact engineering on infrastructure trusted by Fortune 500 companies.

Datadog's eBPF Platform team is hiring a senior engineer to work on GPU Monitoring and the shared eBPF infrastructure powering the Datadog Agent across Linux systems and kernels. You'll contribute to GPU Monitoring feature development end-to-end, maintain shared eBPF functionality for product teams, investigate complex production issues spanning kernel and agent layers, and help shape the architecture of a widely-deployed eBPF solution. Required experience includes working with Linux kernel development or eBPF, building high-throughput/low-latency systems, and 5+ years shipping applications with deep system knowledge; candidates must be motivated by solving customer problems and working effectively in teams. Datadog is a leading observability platform trusted by Fortune 500 companies, offering equity (RSUs), continuous professional development, and hybrid workplace flexibility. The role is remote-eligible and requires strong fundamentals in kernel-level systems programming, particularly eBPF or low-level C development.

This is a Staff Product Designer role at Datadog focused on building the next generation of Datadog Metrics—a foundational observability platform where you'll lead design across workflows for metric sourcing, cost investigation, cardinality management, and telemetry governance. You'll partner across product, engineering, research, and design teams to translate deeply technical subject matter into simple, scalable experiences that work for customers of vastly different sizes and tech stacks. The role requires 10+ years of product design experience with a proven track record leading end-to-end design on ambiguous, technically complex problems grounded in user data, plus fluency in technical subjects like data structures and system architectures to collaborate as a peer with engineering. Key deal-breaker: you must be comfortable reasoning about data structures, system architectures, and scale tradeoffs, and have a portfolio demonstrating this capability. Datadog offers competitive salary ($204K–$255K USD), equity (RSUs and ESPP), professional development, and comprehensive benefits including mental health support; the role is hybrid, reflecting Datadog's office-culture emphasis.

Datadog seeks a Principal Partner Solutions Architect focused on federal and public sector partners, based remotely in DC/Maryland/Virginia area. The role involves owning senior technical relationships with high-value federal partners, architecting complex deployments (FedRAMP, zero-trust, DevSecOps), leading enablement programs, and serving as the voice of partner needs to Datadog's product/engineering teams. This is a customer-facing technical advisory role, not an individual contributor software engineer position.

Recruiting Coordinator at Datadog supports the recruiting team by organizing interview processes, managing ATS postings, coordinating travel/reimbursement, and onboarding new hires. NYC-based remote role; requires 3+ years professional experience and 2+ years recruiting/coordination background, with focus on process improvement and candidate experience.

Datadog seeks a Recruiting Coordinator in Singapore to manage interview scheduling, candidate communication, job postings, offer letters, and recruiter support. Requires organizational skills, communication excellence, and 3+ years professional experience with 2+ years recruiting-related background. Hybrid workplace with emphasis on office collaboration.

Datadog seeks a Technical Support Engineer 2 to provide multi-channel technical support and customer education on the Datadog observability platform. Responsibilities include troubleshooting across 400+ integrations, leading demo certifications, and mentoring customers. Based in Sydney with hybrid 3-5 days/week on-site requirement; requires 2+ years SaaS support experience and technical troubleshooting skills.